#Best Language for data science

[avinasharma]

Best Programming Language for data science

Data Science is an ever-evolving field. To become the best in this field, you need to learn the best programming languages for data science that will help you grow your skills and build the best career. Check out this page to learn more about the best data scientist course in Delhi.

[computer-coder134]

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[estbenas]

BEST PROGRAMMING LANGUAGE FOR DATA SCIENCE IN CHENNAI

Introduction to Data Science and its Importance in Chennai

Data science has taken the world by storm, transforming industries all over the world. In Chennai, one of the world’s fastest-growing tech hubs, the importance of data science has never been higher. Data generated by various industries in the city, such as finance, healthcare, manufacturing, e-commerce, etc., creates a huge demand for skilled data scientists who are proficient in programming languages. In this article, we’ll explore the best programming languages for datascience in Chennai for data science. We’ll discuss their features, benefits, and relevance so that data science professionals can make informed decisions throughout their careers. Let’s take a look at the most commonly used programming languages and tools in Chennai’s data science landscape to give you the knowledge you need to succeed in this fast-paced and data-driven world.

BEST PROGRAMMING LANGUAGE FOR DATA SCIENCE IN CHENNAI

Introduction to Data Science and its Importance in Chennai

What is Data Science?

Data Science is the art and science of extracting information and insights from data using a variety of methods and tools. It is similar to being a detective in an ever-changing world of technology.

Role of Data Science in Chennai

Known as the ‘Detroit of South Asia’ owing to its thriving auto industry, Chennai has seen an increase in the need for data scientists. As companies rely on data-driven decisions, data science plays an important role in providing insights and predictions to help businesses grow in Chennai.

Overview of Programming Languages for Data Science

Why Programming Languages are Essential in Data Science

Programming languages ​​form the foundation of data science and enable professionals to manipulate and analyze data effectively. They provide the tools necessary to manage large data sets, perform statistical analysis, and build machine learning models.

Commonly Used Programming Languages in Data Science

Although different programming languages ​​are used in data science, two programming languages ​​stand out: Python and R. Both have their strengths and are widely accepted by data scientists around the world.

Python: The Leading Programming Language for Data Science in Chennai

Features and Advantages of Python for Data Science

Python is widely popular among data scientists due to its simplicity, versatility, and large ecosystem of libraries and frameworks. It offers an intuitive syntax that makes it easy for even beginners to read and write code.

Popular Python Libraries for Data Science in Chennai

The data science community in Chennai relies heavily on Python libraries such as NumPy, Pandas and Matplotlib. NumPy offers efficient numerical operations, Pandas excels at data manipulation, and Matplotlib allows for beautiful visualizations.

R: An Alternative Programming Language for Data Science in Chennai

Overview and Benefits of R for Data Science

R is a powerful and specialized programming language for statistical analysis and data visualization. It offers a wide range of packages specifically designed for data analysis tasks, making it a popular choice among statisticians and researchers.

R Packages and Tools for Data Science in Chennai

In Chennai, data scientists often use R packages like ggplot2 to create visually stunning charts, dplyr for data manipulation, and caret for machine learning tasks. These packages contribute to the success of data science projects in the city. In conclusion, Python has become the leading programming language for data analytics in Chennai due to its simplicity and availability of comprehensive libraries. However, R remains a powerful alternative for statisticians and researchers who need specialized tools. Aspiring data scientists in Chennai can benefit from mastering any language to succeed in their careers.Remember, it's not the language that matters, but how effectively you use it to uncover the secrets hidden in the data!

Java and Scala: Suitable Programming Languages for Data Science in Chennai

When it comes to data analysis in Chennai, Java and Scala are two programming languages ​​worth mentioning. Both languages ​​offer unique features and capabilities that can significantly help data scientists in their work.

Utilizing Java for Data Science in Chennai

Java can be a powerful tool for data analysis in Chennai with its huge ecosystem and widespread adoption. Its object-oriented nature and robust libraries make it suitable for tackling complex data analysis tasks. Additionally, cross-platform compatibility and strong community support make Java a reliable choice. Although Java may not be as popular in the data science community as languages ​​like Python or R, it offers advantages in terms of performance and scalability. If you work on processing large data or need integration with other enterprise systems, Java can be a valuable resource.

Scala for Big Data Analytics in Chennai

Scala, a language that runs on the Java Virtual Machine (JVM), is gaining popularity in the data analytics space, especially for big data analytics in Chennai. Scala combines object-oriented and functional programming paradigms, making it a flexible and powerful language for data manipulation and analysis. One of the main advantages of Scala is its seamless integration with the most popular big data frameworks such as Apache Spark. With concise syntax and strong support for parallel processing, Scala can efficiently process large amounts of data. For data scientists in Chennai involved in large-scale data analytics or machine learning projects, Scala can be a game-changer.

 Tools and Libraries for Data Science in Chennai

To excel in data science in Chennai, it is important to have the right tools and libraries. These tools can streamline your workflow and provide the functionality you need to efficiently gain insights from your data.

Introduction to Data Science Tools

Data analysis tools like Jupyter Notebook, Anaconda and Apache Zeppelin are widely used by professionals in Chennai. These tools provide an interactive and collaborative environment for data exploration, analysis and visualization. With intuitive interfaces and comprehensive support for various programming languages, they make data analysis tasks more accessible.

Essential Libraries for Data Science in Chennai

In addition to the tools mentioned above, using powerful libraries can significantly improve your data analysis skills. Popular libraries such as NumPy, Pandas, and Matplotlib in Python, as well as Apache Spark's MLlib, provide a rich set of functions and algorithms for data manipulation, statistical analysis, and machine learning. By mastering these libraries and integrating them into your workflow, you can unlock the full potential of data analysis in Chennai.

Choosing the Best Programming Language for Data Science in Chennai

Choosing the right programming language for data analysis in Chennai can be a difficult task. However, considering several factors can help you make an informed decision.

Factors to Consider When Selecting a Programming Language

- Community and Support: The availability of active communities and resources specific to the programming language can greatly facilitate the learning process and problem-solving skills. – Ecosystem and Libraries: Consider the availability of libraries and facilities that support data science activities. The wealth of these resources can streamline your workflow and accelerate your development. – Performance and Scalability: When working with large data sets or computationally intensive tasks, languages ​​like Java and Scala can be useful because of their speed and scalability. – Personal preferences and knowledge: Ultimately, choose the language that suits your personal preferences and knowledge.Knowing a language can significantly reduce learning time and increase productivity.

Making the Right Choice for Data Science in Chennai

Although there is no one-size-fits-all answer to the best programming language for data science in Chennai, Python remains the most popular choice due to its simplicity, extensive libraries and active community. On the other hand, Java and Scala offer their unique strengths in certain scenarios. Ultimately, it is important to consider the specific needs of data science projects in Chennai and choose the language that best suits your needs.

Conclusion and Recommendations for Data Science Professionals in Chennai​

Overall, Chennai offers a robust environment for data scientists with the availability of multiple programming languages ​​and a vibrant tech community. While Python remains the language of choice for most data scientists, Java and Scala can provide viable alternatives, especially for large data processing and big data analysis. To be successful in data science in Chennai, it is important to not only master the programming language but also use the right tools, libraries and frameworks. This combination enables you to gain meaningful insights, make effective decisions, and thrive in the ever-evolving field of data analytics.

Conclusion and Recommendations for Data Science Professionals in Chennai

In conclusion, choosing the right programming language for data science in Chennai is a crucial decision that can have a significant impact on a professional's career path. Python is emerging as a leading language due to its versatility, extensive libraries, and community support. But alternative options such as R, Java and Scala also offer unique advantages and possible uses. It is important for data science professionals in Chennai to stay updated with the latest tools and libraries, constantly improve their skills and adapt to the changing needs of the industry. By carefully considering the factors discussed in this article and aligning them with your career goals, data scientists in Chennai can make informed decisions and excel in this rapidly evolving field.

[data-patrons]

Unlocking Data Secrets: The Power of Python for Data Science in NCR

In the ever-expanding landscape of data-driven decision-making, Python for data science has emerged as the linchpin, offering a seamless integration of programming prowess and analytical acumen. This dynamic duo has become synonymous with innovation, enabling professionals to glean profound insights from vast datasets.

At the heart of Python's dominance in the realm of data science lies its extensive library ecosystem. Python for data science in NCR enthusiasts revel in the versatility bestowed by libraries such as NumPy, Pandas, and Matplotlib. These libraries act as the building blocks for manipulating, analyzing, and visualizing data, providing a robust foundation for data-driven exploration.

Python's innate ability to handle large datasets with grace and precision sets it apart from its counterparts. The simplicity and readability of Python for data science code are instrumental in accelerating the data analysis process. Whether you're a seasoned data scientist or a novice exploring the intricacies of data, Python's syntax offers an accessible entry point and a smooth learning curve.

Machine learning, a cornerstone of contemporary data science, finds an unparalleled ally in Python. TensorFlow and scikit-learn, among others, stand as testaments to Python's prowess in machine learning frameworks. The flexibility of Python for data science allows practitioners to seamlessly transition from data exploration to model development and deployment, fostering a holistic approach to the data science lifecycle.

The collaborative ethos embedded in Python's open-source nature further amplifies its impact on the data science community. Python for data science serves as a conduit for shared knowledge, enabling practitioners to contribute to projects, collaborate on innovative solutions, and stay abreast of the latest developments. This communal spirit has catalyzed the rapid evolution of Python for data science, propelling it to the forefront of the data analysis paradigm.

As we traverse the landscape of data-driven insights, Python for data science in NCR emerges not merely as a tool but as an entire ecosystem—a dynamic and evolving force. Whether unraveling the intricacies of data preprocessing or crafting intricate machine learning models, Python for data science empowers individuals and organizations to unlock the latent potential within their datasets.

Furthermore, the open-source nature of Python fosters a collaborative community where data scientists can share code, contribute to projects, and stay updated on the latest developments in the field. This collaborative spirit has contributed significantly to the rapid growth of Python for data science.

In conclusion, Python for data science is not just a tool; it's a dynamic and evolving ecosystem that empowers individuals and organizations to harness the power of data. Whether you're cleaning and preprocessing data or building complex machine learning models, Python for data science provides the flexibility and tools needed to turn raw data into actionable insights. Embrace Python for data science, and unlock the true potential of your data-driven endeavors.

In summation, embrace Python for data science as more than a programming language; embrace it as a conduit for transformation. Navigate the seas of data with Python as your compass, and watch as raw information metamorphoses into actionable insights. Python for data science is not just a choice; it's a strategic decision to wield the power of data with finesse and ingenuity.

[zora28]

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[cretaceous-if]

“WELCOME TO CRETACEOUS ISLAND.”

DEMO: TBA

NOTE: While I am training as a palaeontologist, I do not claim to be an expert. Therefore, although I will be conducting research into portraying more accurate dinosaurs, there will be possibly be discrepancies or inaccuracies either due to my own research or the lack of (accurate) data available.

-> SYNOPSIS <-

Cretaceous Island is based on the Jurassic Park/World franchise. You will step into the role of the head T-Rex keeper.

You’ve been working as a T-Rex keeper for over ten years now and every day is as interesting as the last.

Unfortunately, not even looking after some of the deadliest creatures in the world was enough to prepare you for the carnage that was about to unfold.

When the system goes down and the dinosaurs escape with evacuation impossible, it’s up to you and a ragtag team to restore order and protect both man and dinosaur.

-> ROMANTIC OPTIONS <-

GRAY/GRACE COLLINS [M/F] - Your big boss is cool, calm, and ruthless. It is well known that they’re not someone to cross, however, they seem have a soft spot for you which some might consider strange considering they also happen to be your ex-fiancé(e). [Poly with Nikolaj available].

LEE MIN-SUN [M/F/NB] - As Operations Manager of the Island, Lee is no-nonsense, grumpy, and has no real time for the corporate side of things that xe’s forced to deal with, but xe has a heart of gold under all the bluster and would do anything to protect those that xe cares for. [Poly with Aija available].

NIKOLAJ OLESEN [M] - He’s your best friend and the embodiment of the term ‘golden retriever energy’. He’s also the head raptor keeper. You’re not entirely sure how those two things go together, but it seems that you’re about to find out. [Poly with Gray/Grace available].

CIERRA DE LA ROSA [F] - A tourist that is vacationing on the island for the third time. You’ve met her a handful of times during those visits, but you haven’t found out much about her beyond her name and the fact that she’s one of the most beautiful women you’ve ever seen.

AIJA MISHRA [NB] - Highly intelligent and more at home among computers than people, Aija is a techie who works in the control room. They’re one of the friendliest and sassiest people you’ve ever met, but, in a crisis, there’s no one you’d rather have on your side. [Poly with Lee available].

-> FEATURES <-

Customise your mc (gender, pronouns, appearance, personality, etc).

Five romance options to fall in love with and two poly options.

Story-driven IF coded using Twine.

Interact with staff, guests, and most importantly, dinosaurs as you look after the T-Rexes and attempt to deal with the biggest crisis the park has ever dealt with and try not to get eaten in the process.

Cuddle with some baby dinosaurs.

-> STATS <-

Personality stats are pretty similar to most other IFs. They will include kind/grumpy, bold/shy, reckless/cautious, genuine/sarcastic, reserved/energetic, and friendly/stern. If you have any suggestions, feel free to lmk.

Skill stats will include intelligence, charisma, marksmanship, agility, and science and technology,

-> WARNINGS <-

This is an 18+ wip due to blood and gore, character and animal deaths, explicit sex (optional), explicit language, medical procedures, violence and injury, and potentially body horror.

[signedaiko]

Hey Aiko! Thanks for the HCs from the last request, I really enjoyed reading every word of them.

You know those math equations where they spell “I Love You” as the final answers?

Could I request HCs of [MTMTE/LL] Perceptor where Cybertronian![Reader] [Gender Neutral] has a huge crush on him and pretends to ask for his help with some equations when they’re actually confessing their love to him through the complicated numbers and symbols?

Happy Ending: He likes them back.

Perceptor X Reader [MTMTE]

In which Perceptor's lab assistant confesses in the numeric language they both work with.

Reader is: Gender Neutral | Cybertronian | Autobot. Romantic.

The science wing aboard the Lost Light had become your home the last couple of months

More specifically, Perceptor's lab, where you'd been handpicked by the scientist to assist him with research

It was a dream come true! I mean, whatever the quest the ship was on was, it was fun and all, but having read every last one of Perceptor's research papers and lab reports, it felt wrong to be the one picked to help

He was Cybertron's genius, the best of the best, and he wasn't weird about it either

Most days you'd stand in the lab, comparing and accumulating data relevant to his research, taking care of any specimen, and cleaning

Most commonly, you were tasked with chemical waste disposal; each chemical was different, and each process was longer than the last

Today, however, Perceptor tasked you with sorting through the 'other' portfolio of research data

It was a list of all kinds of extras that were never finished, tasks galore.

It was also the perfect opportunity for you to work closely with him, since he was helping you comb through it

"What about the anti-anti-matter gun?"

"Anything with the word 'gun' is just Brainstorm trying to get me to do his projects for him. Dispose of it."

While he handled the physical box of 'other' projects, you were sifting through the online database

Thankfully your job was easier because you'd been so distracted watching him across from you and mulling over your plan that you wouldn't get anywhere otherwise

Truthfully, you'd long since sorted through everything using a quick sorting algorithm, but you'd been pretending to keep busy as you contemplated the pros and cons of confessing to Perceptor

He was your boss; if he didn't feel the same, it'd be awkward working with him every day

But your work performance was dropping with all the time you spent staring at him and daydreaming of your lives together

"Sorry, Perceptor, one last question. What is this?"

It was an entry with one equation: 9x - 7i > 3(3x - 7u)

"Don't know; you can note what it solves and delete the main file."

"But what are we solving for?"

Your bait worked, and the scientist stood up to walk behind you, leaning over your chair to get a better glimpse

"Nothing, you're supposed to fill in for 'i' and 'u,' but you can simplify it."

He leaned further in to point at the brackets

"Multiply everything in there by three. Yes, just like that. So now we have 9x - 7i > 9x - 21u."

As funny as it was that he thought you couldn't calculate it on your own, you let him continue

"9x is then cancelled out on both sides, leaving you with -7i > -21u. just divide by three and then..."

"i <3 u"

"Yes, exactly, that's as simplified as you can get it until you identify 'i' and 'u'"

Your smile faltered, realizing he may have still not understood what it said

God, how could you have expected this to work?

"Thanks, Perc—"

"For example, you could substitute 'i' for 'Perceptor' and 'u' for you. Come on now, don't act like I couldn't figure out your game. You think so little of my intellect?"

When you turned to look at him, you realized he was looking at you rather than the screen, a cocky smile sprawled across his face

"I swear I don't; I was just—"

"Just what? Thinking I thought you couldn't solve simple operations? Thinking I would have 'forgotten' such a small equation in my data banks?"

You hid your face behind your hands to try and hide the blush, but Perceptor was already chuckling and pulling you up from where you sat

"Well, if it means anything..."

He reached to the keyboard, adding an extra character

'i <3 u 2'

Author's Note - I love this guy. What a fella, what an enjoyable cocky fella!!!! Thank you for requesting!

[winterr77]

ੈ✩ Habits for your academic life

Below are some habits and rules to keep in mind throughout your studies and some tips that will elevate your learning experiences.

☆ Setting boundaries and learning to say no

It is always easy to say yes and join every social event that one is invited to, however its crucial to consider your own personal life and the consequences of your decisions. Hanging out with friends is a needed event as a social creature, however it's better to exercise caution and know when to say "no" to focus on your own goals and dreams. Don't get pulled into the pace of others and focus on finding a routine and schedule that works for your own benefit.

☆ Being comfortable with your own company

You will find in uni that there are lots of times that you will spend alone, and maybe feel a little anxious that you're the only person who isn't constantly in the company of someone everyday like you maybe were in high school. However, realise that even the time to yourself is a time of value, and treasure those moments to focus and work on your own goals. It is easier to get lost and lose sight of your ambitions when with others who don't have the same aspirations as yourself. Use your own time to sit down and work out what you want to achieve and quietly put in the effort to win.

☆ Never being scared to ask questions

It can be quite daunting to ask questions in lectures, so I prefer to ask my questions during times that aren't forced into a short time interval, such as tutorials, office hours, and other forms of learning support that your university/college provides. This way there is no rush to answer my questions and take my time in working through concepts and ideas. Ask questions based on your own conclusions, questions that challenge current rules and perspectives. Think deeper into your lessons and seek to make use of every bit of information.

☆ Being curious

This is very much related to the point above, that being that personal interest really aids with the brains memory retention. The more things you approach with an enthusiastic attitude, the easier it is for your brain to remember and categorise. Having curiosity, even if it is forced, gives a great advantage where you seek to interconnect the information you learn with other data, and grow more networks of neurons that allows your brain to stay healthy and active.

☆ Initiating contact

Struggling with a theory or assignment? Great, it shows that you are actively trying to understand a concept and working your brain muscles. Now the best way to comprehend or complete what you are struggling with is to access support materials. Still difficult? Reach out. Your teachers, professors, tutors are all there for your benefit. Use them intelligently and squeeze every drop of assistance and support from them while they are still available to you.

☆Watching educational content to aid your studies

You can never lose from learning a bit more every day. However make sure to fact check and find your information from trusted and quality sources. In general, it's always a win to be educated in various topics from health, sciences, arts, humanities and more to gain a better understanding of ourselves, our world, and humanity.

For example, I watched a ted talk today, and here is my conclusions from my notes:

ੈ✩TedX: Why Reading Matters by Rita Carter

Summary:

☆Your brain needs a workout as much as your body. And reading fiction seems to be one of the best workouts you can get. (I recommend quality fiction, with that being classic literature because it genuinely exercises your mind with its intricate language techniques and diverse vocabulary)

☆Not only is it good for you, but it's also good for society as a whole because the brain is like a muscle: the more you force yourself through books to take other people's perspectives, to sympathise, to empathise with other people, the more empathetic a society we will have.

ੈ✩‧₊˚

good luck lovelies

~winter

ଘ(੭ˊᵕˋ)੭* ੈ✩‧₊˚

[local-hellhound-steals-spaghetti]

I really don't have any time or respect for people who call themselves marine mammal scientists while acting as lobbyists and continuously misleading the general public about marine mammal welfare.

Animal welfare is a relatively new scientific field - especially in cetaceans. It's really only in the last few decades that we've been actively studying and determining welfare parameters in dolphins and whales.

That said, we have scientists like Dr. Isabella Clegg, Dr. Jason Bruck, Dr. Heather Hill, Dr. Kelly Jaakkola, Dr. Kathleen Dudzinski, Dr. Fabienne Delfour and many other incredible scientists, research fellows and facilities contributing amazing welfare data.

Not to mention the fantastic global Cetacean Welfare Study

We're learning how to study welfare, what good welfare and bad welfare looks like, what affects welfare the most, monitoring welfare acoustically, comparing parameters to wild animals, what is actually the best habitat for these animals and so much more.

Yet you have people like Dr. Naomi Rose, Dr. Lori Marino and Dr. Ingrid Visser who claim that "the science is settled" on cetacean welfare. That we don't need to do anymore research, show's over, nothing to see here. Tank bad, sanctuary good, don't look at over there at the actual research, trust us - we're the scientists.

That's why I get so frustrated when I see people uncritically use these scientist's sources. Or any sort of anti cap media who take their word as gospel, regurgitate Blackfish talking points and deliberately mislead with emotive, anthropomorphic language.

I can't understand why, when presented with the notion that these animals may not be suffering, that the response is anger.

Why? When I realised that the orcas at SeaWorld were living a much better life than what was portrayed in Blackfish I felt relief! I was happy to see the high energy enrichment and training session videos.

I was happy when I travelled all the way to Orlando from Australia and spent hours and hours at SeaWorld at the underwater viewing area. I asked questions and I watched the orcas rest, play and engage in sessions. I was excited about the idea of being apart of this world and getting to work with animals using positive reinforcement and prioritising welfare.

Little did I know that only in a few years I'd be networking with those amazing welfare scientists and working with dolphins! I don't expect others to have the same journey I did, but I hope some of what I post can make a difference in changing how people perceive cetacean welfare.

There's a lot more we need to learn and study but a lot of the current data is pointing to positive/neutral welfare states in cetaceans in human care. I hope more will be published on orcas - a lot of the data is in bottlenose dolphins (which is probably why lobbyists aren't targeting them in legislation as much anymore).

Cetacean welfare is in no way a settled science, so be very wary of sources that claim it is or make uncritical claims about "captivity".

[rin-and-jade]

A Cup, and A Thread: A Post About System Communication

Hey, you know classic string telephone? The one made with two plastic cups and a piece of yarn, i suppose you recognize that old-school science toy? It's one of the simplest inventions that showcases how messages are sent from one place to another!

This little invention is very fitting to explain how inner communication works, so i hope today's theme of analogy will help you understand all of my messages im about to share, with a twist of a fiber.

There's a lot of things i want to address on this topic, thanks to all my 8 great friends who had helped me gather a variety of insights on what seems to be the problem, i have the answers right here that will be shared to the community, because of them!

You know what communication is?

I sure do, but let's both revise on what it means, according to Merriam-Webster, it's defined as..

"a process by which information is exchanged between individuals through a common system of symbols, signs, or behavior."

It also means "a technique for expressing ideas effectively."

..Alright, we should be in the same page now, but, do we actually know what counts as 'good' communication in system context? After some examination from the given data, it was a resounding "No." This can also mean many may not have a clear idea on it, which will also be addressed.

Okay, tell me please?

Before i do tell, remember that communication is diverse, with no perfect or right way to do so. Just like animals, where different species use unique methods to pull it off, means can systems have their own unique styles too.

There are a few examples we see in animals; like how some use pheromones to talk to its own kind, while some read off from their signature body languages, and some use tones or cues that is meant to be recognized specifically, to each their own meanings.

So, good communication means ensuring that everyone in the system can understand and receive messages effectively which eases functioning and cooperation, regardless of how frequent or indirect the communication may be.

For us, systems have unique internal methods of communication that are based on how our brains function, not having any unique features in animals. These methods are very personal, so find what works best for you.

Here are the common styles so far:

Verbal: Where you talk aloud, or in a media like notes.

Abstract vibes: Where you speak no words, which encompasses feelings, or concepts, or ideas, that can be "felt" instead of heard or seen.

Images: Where the share of messages are conveyed through memories, expressive actions or symbols that are projected in the mind.

Direct thoughts: Where an internal dialogue is present, parts communicate using this inner voice, that can vary in different accents and intonations.

The media represents a lot of the stereotypical kind, direct thoughts, while the rest are less recognized. These four kinds are not limited to, but are the ones often represented, they are equally as important and real.

It's important to note that alters within a system can have different communication styles, or the collective may share the same style. You can't force yourself to use a particular kind, so focus on practicing and mastering your style.

..But there's many problems!

Which is why it's a good idea to educate yourself and find proper solutions in order to resolve them. I know some of them at best, as there might be issues i have not heard of, though will still be shared.

Consider a clear communication between two alters with an example of both cups, connected to the string with no obstructive noise at the background while exchanging messages, one conveys the content clearly, and the other hears and received with maximum clarity/understanding. This will be our main example that will be used to compare with the problems that usually arise in this topic.

The problem with multi-talking

Now, to explain interruptions from another part would be like having an extra string-attached cup tied to the middle of the initial cup, now with two inputs and one receiver, the messages will overlap each other and become obscured.

This can be resolved by being aware, then slowing down when talking and take turns between each other to avoid clashes which can easily overwhelm or confuse the receiver, or even the sender itself since losing track of thought or words can happen.

The problem with worser performance from stress

When stress happens, this can sometimes mess up your state to receive messages, imagine that outwards stressors had pulled and tugged your thread, now a bit twisted out and weak, which still can be used to communicate and hear, but now in a weaker clarity.

Because parts communicate mostly from internal ways, our brain networks are responsible to allow when activities inside (that doesn't necessarily involve system things) can happen. Just like how imagination runs in a mind that's wandering off, stress alerts you instead, snapping off from any safe or calm activities until the 'threat' is resolved.

You can gain temporary clarity by calming yourself down and bring all your focus to send your messages if any responds, if it doesn't happen, it would be best to wait it out until you naturally feel at ease once more, or solve the issue at hand and try again afterwards.

This may not work when you are in a fight or flight response, if you do got cutted off and need to contact anyone from inside, try using strong triggers to probe a response.

The problem with ineffective communication

It is like talking to a part who uses a rubber strand instead of cotton string as its mediator. Threads can conduct finer vibrations that can preserve the original verbal message, while rubber can represent for those who use vibes, as they're more broad and less specific. So if they attempt to talk to you with rubber, you might not receive it's message well,

This can be solved with having another part that are flexible or able to decipher, or find the middle ground where both can exchange better. (e.g. texts)

The problem of talking outside your subgroup

This is where it gets tricky, because there is a notable difference in communication where it's easier to converse inside your group while it's harder to converse outside of your group. What i mean by group is they are the people you meet and talk the most and have easy time communicating.

Imagine that the same group has the same length of the thread, the shorter, the better it retains or transfers message with no effort. Talking outside of your group would require you an extra pair of string telephone, but this time the thread is long as you're talking to another neighboring group, who isn't directly related with you.

Suggestions varies from trying different medias to contact with and see what works best, or rely on someone who have direct relations with the group you mean to interact with, acting as a bridge. Lowering barriers by consenting to get closer in co-conscious might do the trick too. Long term solution would be building ties to strengthen communication. (can also work with layers, better if you can 'travel' there to get direct interactions)

The problem with front and innerworld disconnection

It is normal to be out of contact from the inside when you're fronting, since this would mean you put down the cup to focus doing task or role job. To remedy this, try finding a moment to sit down or close your eyes, and feel yourself going back to your mind, since in order to contact those inside, you must lightly disconnect from the real world to focus better inwards.

The problem with having aphantasia

As if you heard the noise from the cup, but you're not sure where that sound is coming from nor aware of your surroundings as this condition blinds you visually (can vary from mild to severe, blurry/vague mental images to blank respectively).

Your innerworld is still there, using visualization is one way to immerse in, start relying on your tactile awareness, or your 'radar' that is, since it is possible to detect parts in your proximity. Rely on tangible medias such as texting or notes to keep track of things.

The problem with external noise

Having a comorbid of something, such as ADHD, autism, or OCD can create a mental chatter that exists in the background constantly.. if not most of the time, imagine that the location of the telephone is somewhere bustling, now it is harder to tell which one is intrusive, random chatters, or an alter's voice.

There is not a lot to say except learning how to separate those noises from your people, it is done best by slowing down and voice your messages wide and clear to create a distinction from such background chatter, making it easier to differentiate.

Other conditions like depression and anxiety can also affect the clarity and ease of communicating.

The problem with distinguishing others

For those with comorbids and aphantasia, this can make it much harder, though still possible! One last problem with communication is sometimes not knowing who is who, which creates obstacles in different ways. Imagine that there are multiple cups lined up to you as the receiver, this creates difficulty on pinpointing whose speaking. Thus, having problems on replying back or made sure if the first sentence relate to the second one, or it belonged to someone else.

The only solution there is, has to be a long term one. As you're suggested to slowly collect and recognize different speech pattern, assigned vibes of other parts, when they usually reply or what topics/mentions brings them up, and different accents or tone if any.

It is not required to 'know' physical attributes or what they look like, but this one will help a ton and usually the easiest way in distinguishing who is who. The solution is to go through a trial and error (arrange all the attributes you like/feel connected to, and see what sticks) and document all the findings somewhere, incase you're forgetful/difficulty memorizing.

Special mentions

It is worth knowing that communication is greatly affected by your state of mind + physical health, the conditions you have, the maturity of the alter in communicating skills, and the style you or the collective dominantly have.

That being said, having the same role, or source, or how old or new an alter is doesn't generally affect the ease of exchanging messages.

Lastly, inner communication also obeys similar rules to how conversation works in real life, this can be taken from examples:

The proximity of the talker you're with affects how much you can understand what is being said. It makes sense that you need to focus harder to hear what the mumbles meant when they're further away from you.

Being with people you can vibe along always results in a better and more effective exchange, as you don't have to explain twice for them to get the message. (mutual understanding)

How loud the environment is also affects how focused/undisturbed you are within a conversation, and it takes effort to separate the background noise to catch what they're saying.

People also have their own ways of expressing their message, some are more dominant in body language or etc. This is why it is important to recognize and understand what it means. You will always have your own dominant way of socializing, but this doesn't mean you can't learn other ways, partially.

Now comprehending the concept of system communication does become easier, right? This should serve as a good framework to start building and understanding connections.

One last phone call

I hope everything i have said here has been loud and clear, if there is a problem that has not been mentioned that needs fixing, give this string telephone a tug and i'd answer your call alright?

May this post address all the things you need more than a hotline help centre and leave with full satisfaction.

If you please, i will now indulge in the whole history of telephone strings, join me if you wish! Did you know it's originally made of tin can instead of a plastic cup?

-- The next post that will be out: all about introjection. Stay tuned!

- j

[superlinguo]

New Research Article: From Star Trek to The Hunger Games: Emblem gestures in science fiction and their uptake in popular culture

In this new article I get to bring together three of my favourite things: gesture, science fiction and working with the best collaborators. I teamed up with genre author and creative writing expert Dr Peta Freestone and corpus whiz Jess Kruk to look at the different ways scifi gestures also have lives in the real world. 

We used emoji evidence to look at the ways use of the Vulcan Salute (🖖) on Twitter references Star Trek, as well as nerd culture in general. There’s no emoji for the Three Finger Salute from the Hunger Games (...yet?), so we used a newspaper corpus to see what we could learn about this gesture. It has become a gesture of protest by younger people against a variety of regimes across South and South East Asia, and is becoming untethered from its narrative origins. For this gesture, newspapers provided a good, nuanced understanding of the meaning and function of this gesture.

This article partially started out of a blog post where I was pondering fictional gestures in scifi and fantasy. The article is part of a special issue of Linguistic Vanguard on the linguistics of scifi, with a special focus on corpus methods, which was edited bySofia Rüdiger and Claudia Lange. It’s fun that this article stands alongside lots of great articles including work on the sociolinguistics of Firefly, the lexical influence of Star Wars and changing gender dynamics on Star Trek.

Abstract

Research on emblems to date has not drawn on corpus methods that use public data. In this paper, we use corpus methods to explore the use of original fictional gestures in the real world. We look at two examples from popular science fiction, the Vulcan salute from Star Trek and the three-finger salute from The Hunger Games. Firstly, a Twitter corpus of the Vulcan salute emoji shows that it is used to represent Star Trek fandom and wider nerd culture, alongside its use as a greeting. Secondly, a global news corpus shows the three-finger salute has come to be used as a pro-democracy protest gesture across political and cultural boundaries in South East Asia. These corpus studies show different trajectories for the two gestures, with the three-finger salute escaping the confines of its fictional world, while the Vulcan salute has come to stand in as a reference to the media it originated from. We conclude with a reflection on the opportunities, challenges and limitations of bringing corpus methods to gesture studies.

Reference

Freestone, P., J. Kruk & L. Gawne. 2023. From Star Trek to The Hunger Games: emblem gestures in science fiction and their uptake in popular culture. Linguistic Vanguard. doi: 10.1515/lingvan-2023-0006

See also

Fictional gestures in scifi and fantasy

How I made the Aramteskan language for P.M. Freestone’s Shadowscent

Gesture emoji: contributing to the Unicode standard

[estbenas]

BEST PROGRAMMING LANGUAGE FOR DATA SCIENCE IN CHENNAI

Introduction to Data Science and its Significance in Chennai

Data Science is one of the most important fields in the era of information. By analyzing large amounts of data, data scientists can provide useful insights and solutions. In the city of Chennai, which is renowned for its technological progress, data science has become more and more important. From financial, healthcare, e-commerce, government, and research institutes, the need for skilled data scientist in Chennai is growing day by day. In this article, we will discuss the Best Programming Languages for Data Science in Chennai, which are suitable, popular, and applicable in the data science field in Chennai.

Introduction to Data Science and its Significance in Chennai

Defining Data Science

What is Data Science? Data science is the science and practice of using statistical, mathematical, computational, and domain-specific methods and algorithms to gain valuable insights and understanding from large and intricate data sets.

The Growing Importance of Data Science in Chennai

Chennai is one of the fastest growing cities in Southern India. With the growth of technology and a huge amount of data across different sectors, businesses in Chennai are realizing the importance of using data to get a competitive advantage. In Chennai, data science is redefining industries such as Finance, Healthcare, Retail, and Manufacturing. Data helps businesses to make better decisions, optimise their operations, and create innovative products & services. As Chennai becomes a data-driven city, the importance of data science is increasing day by day.

Overview of Programming Languages in Data Science

Understanding the Role of Programming Languages in Data Science

Programming languages are at the heart of data science because they give data scientists the tools and enablers they need to work with data, analyze it, and visualize it. Programming languages help data scientists write code, build algorithms, and create models to extract information from data.

Commonly Used Programming Languages in Data Science

There are several types of programming languages used in data science. Each has its own advantages and uses. Python, R and SQL are the most popular. Python is well-known for its ease of use and versatility. R is better suited for statistical analysis and SQL is a must-have when working with databases.

Evaluating the Top Programming Languages for Data Science in Chennai

Criteria for Evaluating Programming Languages

There are a few things to consider when selecting a data science programming language in Chennai. These are: Ease of use Performance Libraries and resources Industry adoption Community support.

Importance of Choosing the Right Language for Data Science in Chennai

Selecting the right programming language can have a significant impact on the efficiency and productivity of your data science projects. Your chosen language should match the needs of your industry and organization while also providing a strong set of tools and resources.

Python: The Dominant Choice for Data Science in Chennai

Python's Versatility and Ease of Use for Data Science

Python is the most popular data science language in Chennai. Python’s ease of use and ease-of-reading make it a go-to language for beginners who want to learn and get up to speed quickly. It offers a vast array of libraries and frameworks like Python, Python, Pandas, Scikit-learn and many more, which are crucial for data handling, analysis and machine learning.

Availability of Python Resources and Libraries in Chennai

Python resources and libraries are readily available in Chennai. The city is home to several training institutes and online courses, as well as user groups that offer extensive training and guidance to data scientists. Chennai is also home to a vibrant Python community. This community actively contributes to Open Source projects and develops useful resources.

R: An Alternative Programming Language for Data Science in Chennai

Overview of R and its Relevance in Data Science

R is one of the most popular open-source statistics programming languages in Chennai. It is known as the ‘quirky friend’ of data science because it always has a different point of view. R is the most popular statistical programming language in Chennai due to its wide range of statistics and graphical techniques. It is used as a data manipulation language, visualization language, and analysis language in data science. With its wide range of packages and library, R helps data scientists to solve complex data problems easily.

R's Application and Adoption in Chennai's Data Science Industry

Chennai’s data science industry has adopted R as its preferred programming language. R is used by many companies and professionals in Chennai for various purposes, including predictive modeling, Machine Learning, Data Mining, and Statistical Analysis. R’s versatility and adaptability enable data scientists to deal with different data formats and carry out sophisticated statistical calculations. With an active and supportive community in Chennai, R users have access to a wide range of resources and knowledge to improve their data science efforts.

Comparing Python and R for Data Science Applications in Chennai

Comparing Syntax and Features of Python and R in Data Science

Python and R are two popular programming languages that are widely used in data science. Python is well-known for its ease of use and ease of readability. It comes with a wide range of libraries like Python, NumPy, and Pandas that make it easy to manipulate and analyze data. R, on the other hand, has a syntax that is specially designed for statistical computing. This syntax makes it easier to understand and perform statistical operations. Each language has its own strengths and weaknesses. Ultimately, the choice between Python and R will depend on the specific requirements and preferences of Chennai’s data scientists.

Performance and Scalability of Python and R in Chennai's Data Science Projects

Python outperforms R in terms of performance and scalability. Python is the preferred language for Chennai’s data science projects due to its ease of execution and compatibility with popular big data processing frameworks such as Apache Spark. R, on the other hand, has been improving its performance over the years. With the help of extra packages such as data.table, R is able to handle large datasets reasonably well. When deciding between Python and R for data science projects in Chennai, it is important to consider the size and complexity of the project.

Other Prominent Programming Languages for Data Science in Chennai

Overview of Additional Programming Languages for Data Science

Python and R are the most popular programming languages in Chennai’s data science ecosystem, but there are many other languages worth exploring, such as Julia, Scala, SAS, etc. Each of these languages has its own unique features and uses in data science. For example, Julia is a high-performance language that excels in numerical computing and scientific computing. It integrates well with Apache Spark, making it an ideal language for distributed data processing applications. SAS, a commercially available language, provides a wide range of analytical tools for business applications.

Use Cases and Considerations for Other Languages in Chennai

Additional programming languages in Chennai depend on the specific use cases and needs. Julia Julia’s speed and parallel computing make it suitable for high-performance applications such as optimization and simulations. Scala Scala is a combination of functional and Object-oriented programming. It is well-suited for data processing and analysis on large datasets. SAS SAS is a commercial language, but it has a significant presence in Chennai’s corporate sector. It is often used in industries that require strict compliance and governance.

Conclusion: Choosing the Best Programming Language for Data Science in Chennai

Key Factors to Consider when Selecting a Programming Language

There are several factors to consider when selecting the best programming language in Chennai for data science. These include your specific data science needs, the size and intricacy of your data, library and package availability, language community support and resources, and your personal skills and preferences.

Making an Informed Decision for Data Science Language in Chennai

In Chennai’s ever-growing data science community, choosing the right programming language depends on personal preferences, project needs, and trade-offs between languages. Python is still one of the most widely used and versatile programming languages in Chennai, while R provides robust statistical capabilities. Examining and learning the unique features and benefits of other languages such as Julia, Scala, or SAS can also open new doors for data scientist in Chennai. So, choose the language that best suits your skillset and project requirements, and remember that there is no “one size fits all” when it comes to choosing programming languages in Chennai.

Conclusion: Choosing the Best Programming Language for Data Science in Chennai

Choosing the Right Programming Language for Data Science in Chennai Python is the most popular programming language in Chennai due to its versatility, large library ecosystem, and widespread usage in the data science industry. However, there are alternative programming languages such as R that have their own advantages and disadvantages depending on the specific use case. Ultimately, the decision to choose a programming language for Chennai data science depends on the project requirements, your personal preference, and the resources and support available in Chennai. Understanding the advantages and disadvantages of different programming languages will help data scientists make better decisions and use the power of the programming language to gain valuable insights from the data in Chennai’s vibrant data science environment.

Visit : https://cognitec.in/

[data-patrons]

Python Course Training Institute in NCR: Unlock Your Full Potential

The ability to code has become an essential talent for people seeking success in today's technologically driven environment. Python, an advanced and adaptable programming language, has grown in popularity due to its ease of use, readability, and broad range of applications. Python is quickly becoming the language of choice for aspiring developers and tech aficionados, and with good reason. We will discuss the significance of technical brilliance and how Python course training institute can help students realize the full potential of this amazing language.

Recognising the Importance of Technical Excellence

Any successful programming endeavour requires technical proficiency. It entails a wide range of talents and traits, such as programming language expertise, problem-solving abilities, and a thorough understanding of coding principles. Technical competence allows developers to build efficient and robust solutions to complicated challenges, increasing productivity and allowing them to stand out in a competitive employment market.

Python's Strength

Python has quickly become one of the most popular programming languages due to its ease of use and versatility. Its simple syntax and readability make it a good choice for beginners, while its extensive library and framework collection caters to the needs of experienced developers. Python is widely utilised in a variety of fields such as web development, data analysis, machine learning, artificial intelligence, and automation. Its adaptability enables developers to seamlessly migrate between projects and adapt to changing industry trends.

Student Empowerment through Python Course Training

Deep Python course training institute is critical in enabling students to fully utilise the language's capabilities. Such training programmes offer a structured learning environment in which students can master the skills and information required to become successful Python developers. Let's look at how Python course instruction helps students:

Extensive Curriculum

Python course training normally includes a complete curriculum that covers programming basics, Python syntax, data structures, algorithms, and other topics. Students receive a strong foundation in programming fundamentals, allowing them to easily tackle complicated coding challenges.

Practical Experience

When it comes to mastering Python, practical experience is essential. Hands-on activities, coding projects, and real-world examples are common features of training programmes, allowing students to apply their skills in a practical situation. This hands-on approach promotes a deeper understanding of Python and increases students' confidence in their programming talents.

Expert Advice

Python training is frequently taught by professional instructors who are fluent in the language. These experts provide students with useful insights, assistance, and comments, allowing them to improve their coding skills and adopt best practises. Mentorship and assistance provided during training contribute considerably to students' growth as Python developers.

Collaborative Education

Through group projects and conversations, many Python training programmes emphasise collaborative learning. This encourages teamwork and allows pupils to learn from their peers. Collaborative learning improves problem-solving abilities, fosters creativity, and introduces students to other programming ideas and methodologies.

Why Should You Go for Deep Python Course Training Institute in NCR?

The curriculum at the institute has been rigorously crafted to cover all elements of Python programming, ensuring that students obtain a well-rounded education.

Expertise and Experience: Data Patrons is well-known for its highly talented and experienced instructors who are well-versed in Python programming. With their knowledge, they give students with essential insights and support, establishing a solid foundation in Python.

Customised Curriculum: Data Patrons provides a professionally tailored curriculum that adapts to the industry's changing needs. The courses are designed to cover fundamental principles, advanced subjects, and hands-on projects, giving students hands-on experience with Python development.

Relevance to Industry: The institute maintains close relationships with the industry, keeping its curriculum current with the newest trends and innovations. Data Patrons guarantees that students gain the skills required by businesses by combining industry-relevant projects and case studies.

seasoned Instructors: The institute has a team of seasoned instructors that are passionate about developing potential and have substantial industry knowledge.

Modern Infrastructure: The institute provides a comfortable study atmosphere with modern facilities such as computer labs and a library.

Hands-on Projects: Emphasis is placed on practical learning, with students working on real-world projects that mirror industrial circumstances.

Placement support: The Python for Data Science in NCR provides placement support to students to help them launch their careers in the technology field.

Data Patrons offers a wide range of learning resources, including textbooks, online materials, and access to necessary software and tools. These resources improve the learning experience and allow students to fully utilise Python's capabilities.

Practical Training: A fundamental component of Data Patrons' training strategy is practical application. Students acquire significant experience in tackling complicated problems with Python through hands-on projects and real-world simulations, preparing them for real-world challenges.

Data Patrons provides a vibrant learning environment where students can network and cooperate with like-minded individuals. The institute hosts events, workshops, and seminars that allow students to network with industry experts and fellow students.

Conclusion

Choosing Data Patrons for the Deep Python Course Training Institute in NCR means that you will have access to skilled professors, a comprehensive curriculum, industry relevance, practical training, networking opportunities, placement assistance, flexible learning options, continual support, and a good reputation. Students can embark on a fulfilling journey of acquiring Python and realising their full potential in the realm of technology with Data Patrons. For budding programmers, the Deep Python Course Training Institute in NCR is an icon of technological brilliance and empowerment. Students can start on a transformative journey that unlocks their entire potential in Python programming by enrolling in their courses. Whether you want to be a web developer, data scientist, or AI specialist, the institute's comprehensive training will provide you the skills and knowledge you need to succeed.

So, if you're seeking for a deep Python course training institute in NCR that provides technical brilliance while also empowering students to fully use Python's capabilities, go no further than the Deep Python Course Training Institute.

[mariacallous]

It’s now well understood that generative AI will increase the spread of disinformation on the internet. From deepfakes to fake news articles to bots, AI will generate not only more disinformation, but more convincing disinformation. But what people are only starting to understand is how disinformation will become more targeted and better able to engage with people and sway their opinions.

When Russia tried to influence the 2016 US presidential election via the now disbanded Internet Research Agency, the operation was run by humans who often had little cultural fluency or even fluency in the English language and so were not always able to relate to the groups they were targeting. With generative AI tools, those waging disinformation campaigns will be able to finely tune their approach by profiling individuals and groups. These operatives can produce content that seems legitimate and relatable to the people on the other end and even target individuals with personalized disinformation based on data they’ve collected. Generative AI will also make it much easier to produce disinformation and will thus increase the amount of disinformation that’s freely flowing on the internet, experts say.

“Generative AI lowers the financial barrier for creating content that’s tailored to certain audiences,” says Kate Starbird, an associate professor in the Department of Human Centered Design & Engineering at the University of Washington. “You can tailor it to audiences and make sure the narrative hits on the values and beliefs of those audiences, as well as the strategic part of the narrative.”

Rather than producing just a handful of articles a day,  Starbird adds, “You can actually write one article and tailor it to 12 different audiences. It takes five minutes for each one of them.”

Considering how much content people post to social media and other platforms, it’s very easy to collect data to build a disinformation campaign. Once operatives are able to profile different groups of people throughout a country, they can teach the generative AI system they’re using to create content that manipulates those targets in highly sophisticated ways.

“You’re going to see that capacity to fine-tune. You’re going to see that precision increase. You’re going to see the relevancy increase,” says Renee Diresta, the technical research manager at Stanford Internet Observatory.

Hany Farid, a professor of computer science at the University of California, Berkeley, says this kind of customized disinformation is going to be “everywhere.” Though bad actors will probably target people by groups when waging a large-scale disinformation campaign, they could also use generative AI to target individuals.

“You could say something like, ‘Here’s a bunch of tweets from this user. Please write me something that will be engaging to them.’ That’ll get automated. I think that’s probably coming,” Farid says.

Purveyors of disinformation will try all sorts of tactics until they find what works best, Farid says, and much of what’s happening with these disinformation campaigns likely won’t be fully understood until after they’ve been in operation for some time. Plus, they only need to be somewhat effective to achieve their aims.

“If I want to launch a disinformation campaign, I can fail 99 percent of the time. You fail all the time, but it doesn’t matter,” Farid says. “Every once in a while, the QAnon gets through. Most of your campaigns can fail, but the ones that don’t can wreak havoc.”

Farid says we saw during the 2016 election cycle how the recommendation algorithms on platforms like Facebook radicalized people and helped spread disinformation and conspiracy theories. In the lead-up to the 2024 US election, Facebook’s algorithm—itself a form of AI—will likely be recommending some AI-generated posts instead of only pushing content created entirely by human actors. We’ve reached the point where AI will be used to create disinformation that another AI then recommends to you.

“We’ve been pretty well tricked by very low-quality content. We are entering a period where we’re going to get higher-quality disinformation and propaganda,” Starbird says. “It’s going to be much easier to produce content that’s tailored for specific audiences than it ever was before. I think we’re just going to have to be aware that that’s here now.”

What can be done about this problem? Unfortunately, only so much. Diresta says people need to be made aware of these potential threats and be more careful about what content they engage with. She says you’ll want to check whether your source is a website or social media profile that was created very recently, for example. Farid says AI companies also need to be pressured to implement safeguards so there’s less disinformation being created overall.

The Biden administration recently struck a deal with some of the largest AI companies—ChatGPT maker OpenAI, Google, Amazon, Microsoft, and Meta—that encourages them to create specific guardrails for their AI tools, including external testing of AI tools and watermarking of content created by AI. These AI companies have also created a group focused on developing safety standards for AI tools, and Congress is debating how to regulate AI.

Despite such efforts, AI is accelerating faster than it’s being reined in, and Silicon Valley often fails to keep promises to only release safe, tested products. And even if some companies behave responsibly, that doesn’t mean all of the players in this space will act accordingly.

“This is the classic story of the last 20 years: Unleash technology, invade everybody’s privacy, wreak havoc, become trillion-dollar-valuation companies, and then say, ‘Well, yeah, some bad stuff happened,’” Farid says. “We’re sort of repeating the same mistakes, but now it’s supercharged because we’re releasing this stuff on the back of mobile devices, social media, and a mess that already exists.”

[altin-studies]

Hey there! I want to go into statistical analysis and comms/data analysis, and I have a pretty good plan in place already and know what I'm doing, but was wondering if there are any tips you could give as I see in your bio you're studying data science?

Anything I should do for prep/classes to take to get me a leg up would be amazing, thank you in advance!

Hey there! Thanks for the ask!

If you're going into stat, the first thing I'd suggest is get a good grip on your maths.(Rhyme not intended lol) You should take courses on Derivatives, Integrals, Linear Algebra. We are also taught Real analysis pretty intensively.

For programming languages, I'd say Python is more than enough. But R, SQL are good to have on your CV. Open up a kaggle account and start doing some work there. It will take you a long way.

The best tip I can give you is to take care of your health. It's a pretty taxing subject once you get into it. But prioritise yourself first. Our coursework is intense and while it might not be the same for you, doing mathematics all day is always difficult.

Good luck on your journey. Hope I was of help.

[hollis-art]

Your taste in fics seems amazing. For the life of me I can't find any star trek fanfictions. Care to share some of your favorites? I would love to hear it :3

heck yeah! sure!

I always save the ones I really like right after I read them, but I can't seem to find the DaForge one I was talking about.

The descriptions I will put after the recs are how I described them to remind myself what they were about (I don't think they help though, because I can't remember them that well,,,) Either way, I'm sure the actual description of the fics are better than the ones I put !!

Data/Geordi:

Flowers- by astraa (hauntedpunk) General data is trying to understand his emotions, he grows flowers and he talks to spot

no emotion that's worth having- orcamermaid Teen and Up data is trying to understand his emotions and how love works. geordi is helping (REALLY CUTE)

every dream i have is sweeter- orcamermaid General, Community (TV) crossover TROY AND ABED GEORDI AND DATA AU???? WHAT! ITS SO CUTE SO GOOD HKJDSAHGDSKJGHDSKJ THEMMMMM

Expectation- justabrain General geordi and data's relationship seen by outsiders, very cute, wedding at the end

all the everything that ever was- squilf Teen and Up picard and Q are soulmates, riker was told not to tell anyone about it (he failed) data and la forge are soulmates too !!! in the background but its still there

Garak/Bashir:

pouring just a hint- susiecarter Teen and Up garak always drinks from bashir's cup before giving it to him, and bashir assumed it was just a quirk of his, but it is actually a cardassian sign of love and trust :)

The 50/50 Consensus- TheoMiller General julian notices that garak is lonlier and stuff is too bright for him so that all gets changed :)

Designs and Alterations- AuroraNova, ConceptaDecency Teen and Up garak has been giving julian coupons, it took a while for him to realize that no one else has been getting them

Balloon Buddies- almaasi General garak and bashir get turned into animals, very silly

The Cupid Computer- almaasi Teen and Up bashir is feeling lonely, so he took a quiz that takes up personal information to show you who your best match/soulmate is

Tell Me You Love Me (Or Tell Me a Lie)- almaasi Teen and Up garak gets a message that he's due to be sent home, (to die, literally or symolically) so he tells jullian his deepest secrets as tradition

Quark/Odo:

your accent mixing with mine- spacebubble Teen and Up the universal language translator is down, odo realizes that quark has his accent when pronouncing words. they kiss

More Forsaken Than Usual- NervousAsexual General instead of being stuck in the elevator with lwaxana troi, odo is stuck with quark

Breathe- Paratale General odo is upset, quark helps him learn how to cry

play it again- nepetrel Teen and Up ((this one is better without knowing the twist, but this involves time travel and kissing :) ))

Conflicts with Interest- katiemariie Teen and Up quark and odo bicker. they're in an established relationship, im putting this here because i really like the fluidity they gave to odo

put down your sword and crown- spacebubble Teen and Up quark is drunk so odo tries to figure out why

Spock/Kirk:

Ten Things I (Love) About You- ItinerantAvthor General this is based on a merther fic of the same premise. spock accidently finds a list that kirk made about him, but there is a space torn out of the top. "10 things i ___e about spock". spock thinks that the logical conclusion is that the word is 'hate'. he proceeds to try his best to not do any of the things listed :) this is the fic that got me into star trek, actually

The prominence of a simple word- Exploding_Space General kirk just keeps calling spock 'sweetheart'

Science Blues- museaway Teen and Up mccoy and spock body swap on accident. they don't tell kirk.

Textual Beginnings- iknewaman Teen and Up wrong number fic!!! Academy era!! kirk finds spock's number on the bathroom wall and decides to text it, its really cute

Of Coffee Beans and Green Tea Leaves- Se7en_devils Teen and Up spock goes to a cafe that kirk works at, kirk keeps flirting with him and using words of different dialects to do it because he learned that spock is a language professor. very adorable

Letters From Across the Universe- Starlighter_Varda General spock and kirk are pen pals from across the universe. temporary character death (sorta) cried over this, very good. there's a cat named leonard, love him

Something Smart to Do- kianspo Mature (i don't remember what's mature about it. i don't think it was anything bad, if it was, i wouldn't have saved it, or i would've made a note of it) all of the times kirk and spock are 'married' for a mission. very adorable

Miscommunication- sinestrated Teen and Up kirk gets his brain all goofed up, making him call people by whatever nickname he thinks of them by. he tries to avoid spock, knowing full well the word was going to be something sweet (it was)

Pirates, Spies, and Bedtime Stories- lallyloo General spock and kirk get into a transporter accident that turns them 5 years old. mccoy takes care of them

ok i think that's all of the ones I have written down!! (for now) i hope this helps!! :) they're all ship fics because i honestly find star trek kind of boring if you don't watch it for them,,,