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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.
#Best Language for data science#Best programming language for data science#Best data science course in Delhi#Best data science institute in Delhi#Data science courses in Delhi#Data science institutes in Delhi#Learn data science#Data scientist course in Delhi#Data scientist institute in Delhi#machine learning
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Computer Coder is a leading Summer & Industrial IT Training Institute located in Jaipur, India. The institute provides comprehensive training programs in various IT domains, including software development, web development, data science, digital marketing, and more.
Computer Coder has a team of experienced and certified trainers who provide hands-on training to students, making them industry-ready. The training programs are designed to equip students with the latest technologies and tools used in the IT industry.
The institute offers flexible training schedules and customized courses that cater to the unique requirements of students. Computer Coder also provides placement assistance to students and has tie-ups with several top IT companies in India.
With its state-of-the-art infrastructure, modern teaching methodologies, and industry-oriented training programs, Computer Coder has established itself as one of the best IT training institutes in Jaipur.
visit our website : https://www.computercoder.in/
#computer coder near me#best programming languages#software development#coding challenges#algorithm design#best Summer & Industrial Training Institute in Jaipur#best It Institute#computer coder#debugging#version control#syntax#code libraries#integrated development environments (IDEs)#code optimization#web development#mobile app development#artificial intelligence (AI)#machine learning (ML)#data science#cybersecurity#cloud computing#open-source software#software engineering
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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.
#python for data science#top python course training#python programmiing#python for data science in ncr#top python course training institute in ncr#deep python course training institute in ncr#python course#best python training course institute in ncr#python programming#python for data science inncr#python language
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Python For Data Science Course,Best Python For Data Science,Basics Of Python For Data Science,Data Science Using Python,Best Programming Language For Data Science,Python Programming For Data Science,Python For Data Science Course With Certificate,Programming For Data Science With Python
#Python For Data Science Course#Best Python For Data Science#Basics Of Python For Data Science#Data Science Using Python#Best Programming Language For Data Science#Python Programming For Data Science#Python For Data Science Course With Certificate#Programming For Data Science With Python
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YESS I HOPE YOU MAKE MORE PAPI MEGATRONUS 🫶
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Give It Up Pt 4
Megatronus Prime x Reader
• Bored since your giant is staring at his weird alien tablet, you amuse yourself with trying to look up under his mask. Helmet. Whatever it is he has going on. Trying to decide if that’s his actual face or if there’s something underneath. Watch him remove a little thing from the tablet and hold it up grumbling nonsense at you while you lean to try and look under his mask and he taps you on your helmet hard enough with a servo to send you staggering back before handing you your display. Growling some more at you while you reattach it and he lifts his hand with the little thing he’d removed to touch the back of his helm.
• Fiddling with your primitive tech and chirping softly at him while he syncs the partially decoded language file, he shudders slightly as it integrates. “-twenty percent already? That can’t be right,” you’re mumbling as you swipe a gloved finger on your display. Helmet bent over the tiny screen, you make a soft noise. “How bad a way to go is suffocation?” Suffocation? Reaching out a servo, he hooks it around you and turns you. “Whoa, hey. Easy big guy.” Optics narrowing at the tank on the back of your suit, he vents. What exactly are you breathing?
• “What gasses are you breathing?” He asks and you freeze. Because he asked. In actual words instead of just growling at you. Gaping up at him, you’re silent. “Can you understand me, little one?” Reaching out he taps your oxygen tank and you stumble away, afraid he’s going to damage it without meaning to. How is he speaking your language? Is that what he wanted your console for? To learn your language?
• “I can understand you,” you say, shadowy features upturned to stare at him. “I need air, I’m running out. My tank might have a leak.” Rumbling softly, he knows the translation files are rough at best. Needing more data from you, from interacting with you to be complete. Needs you to keep talking. “Really wish I’d paid more attention in my science classes. Maybe if I could remember the molecule I could draw it.” Watches you lift your little hands, laying them on your helmet. Scared and alone in a strange place. Maybe one of his other Primes can help figure out your air?
• “Don’t worry, little one. You won’t suffocate,” he says and you want to believe him. Need to. Because you have much less oxygen than you’d initially thought. It was never meant to last long, though. You weren’t supposed to be on this side of the gate for more than five minutes tops. The suits meant to withstand radiation and hostile environments. For a short period of time. But there wasn’t supposed to be giant, sentient alien life on the other side either. Air, water, and food. If you can’t get access to all three, you’re dead.
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Writing Notes: Philosophy
Philosophy - aims to ascertain basic existentialist truths of the world around us.
The term comes from “philosophia,” a word that has Greek and Latin origins.
Philosophers examine the nature of reality by posing philosophical questions or problems that they then attempt to solve through critical thinking.
Branches of Philosophy
Much of the value of philosophy lies in the specialization and categorization of philosophical questions that cannot be easily answered with empirical data or scientific knowledge.
Scholars organize such questions into different branches of thought, although there are perhaps as many ways of categorizing the different branches as there are scholars.
Here are just 3 of the potentially dozens of branches of philosophy:
Epistemology: Also called the theory of knowledge, this analytic philosophy studies the scope, validity, and extent of human knowledge—in other words, concepts surrounding how we can confirm what we think we know is true. Immanuel Kant’s Critique of Pure Reason is an example of epistemology. In this work, Kant disagrees with philosopher David Hume, that our experiences and perceptions of things are subjective—therefore, our knowledge of things is not universal. Epistemology overlaps with many other branches of philosophy since human knowledge is relevant in other areas, such as the philosophy of language and the philosophy of mind.
Ethics: The moral philosophy of ethics is one of the oldest and broadest branches of philosophy. Ethics works to debate values of good and evil and questions where human actions fall on that spectrum. The ancient Greeks struggled with these questions as they developed their societies along two schools of thought—Stoicism and Epicureanism. Although these two schools, established in 300 BC, shared several tenets, they differed in describing the best way to live. Stoics believed that living a just and virtuous life was paramount, while Epicureans believed the search for pleasure should be the highest priority. Due to its broad nature, ethics is pervasive in nearly every academic discipline and overlaps within several other areas of thought, including the philosophy of history, the philosophy of law, and the philosophy of religion.
Metaphysics: The principles of metaphysics question our place in the world and the meaning of life and human existence. Metaphysics, like ethics, began as one of the main branches of philosophy in ancient Greece. One of the premier philosophical works that established the branch was Aristotle’s Physics. In exploring the working mechanics of our reality, Aristotle created foundations of thought that became important to western institutions and religions, like Christianity. Aristotle’s work greatly influenced the thirteenth-century Italian priest Thomas Aquinas, who utilized aspects of Aristotle’s philosophy of nature to confirm the existence of God as the omnipotent architect of the universe. Metaphysics often encompasses or overlaps with the philosophy of science—for example, as scientists grapple with questions related to humanity’s literal and figurative place in the universe.
Historical Figures of Eastern Philosophy
Learn how these notable eastern philosophers shaped their cultures with religion and philosophical breakthroughs throughout the history of philosophy:
Laozi (born circa 570 BCE): The historical existence of Laozi, or Lao Tzu, is disputed, but some believe the Chinese philosopher is the author of the Tao Te Ching, a manuscript central to the philosophical religion known as Daoism (or Taoism). The metaphysical and ethical philosophy promotes living in harmony with nature and doing no harm to others.
Confucius (551–479 BCE): The teachings of this Chinese philosopher and politician formulated the basic tenets of East Asian societies. Known as Confucianism, the Chinese philosophy encouraged family loyalty, ancestral appreciation, and education—concepts that remain important to modern Chinese traditions.
Siddhartha Gautama (born in fifth century BCE): Historians and academics dispute the facts of the life of Siddhartha Gautama, also known as the Buddha. By some traditions, he was born into an aristocratic family and enjoyed an entitled life until he decided to pursue a nomadic and ascetic lifestyle. Over time, people attributed teachings to him on self-restraint, meditation, and mindfulness—ideas that grew into a popular world religion.
Jalāl ad-Dīn Mohammad Rūmī (1207–1273): A thirteenth-century Persian poet, Jalāl ad-Dīn Mohammad Rūmī wrote Quranic verses and Sufi poems that scholars still translate and publish today. A large part of philosophy in Rumi’s poetry is his set of values around love and religion. His philosophy of life focused on using art and self-expression to bring humans closer to God.
Historical Figures of Western Philosophy
Ancient Greek philosophers established western philosophy as early as the sixth century BCE. Here are a handful of Greek philosophy figures who created theoretical foundations and frameworks that future generations could use to question their own complex societies:
Socrates (470–399 BCE): The Athenian philosopher Socrates is credited as the founding father of western philosophy and the Socratic method—a form of questioning that scholars in multiple areas of philosophy use to pinpoint shortcomings in logic or beliefs. His teachings were never published but lived on through the work of his student, Plato.
Plato (428/427–348/347 BCE): An influential thinker of the classical Greek period, Plato is famous for his theory of forms, which questions the connection between our minds and reality. He is also remembered for his several published works, like The Republic, which communicated his social and political philosophy.
Aristotle (384–322 BCE): The philosopher Aristotle was a star pupil of Plato’s (another ancient philosopher) and went on to found his own school, called Lyceum. During his career, Aristotle collected and simplified the philosophies of his predecessors and contributed to philosophical work in nearly every aspect of classical Greek culture. He was the first ancient philosopher to analyze the concept of free will.
René Descartes (1596–1650): A French mathematician and philosopher, René Descartes is best known for the existentialism theories he put forth in Discourse on the Method and his statement: “I think, therefore I am.” Descartes’ natural philosophy and metaphysical inquiries, as well as his thoughts on the existence of God, established him as a pioneer of modern philosophy.
Georg Wilhelm Friedrich Hegel (1770–1831): German philosopher Georg Hegel is best known for his metaphysical concept known as idealism. The concept dictates that the perceptions of a self-conscious mind result in the most accurate interpretations of concrete objects. His work had a dramatic impact on western philosophy in the twentieth century and influenced the works of philosophers Karl Marx and Friedrich Nietzsche.
Source ⚜ More: Notes & References ⚜ Writing Resources PDFs
#philosophy#writing notes#studyblr#writeblr#dark academia#writing reference#writing inspiration#worldbuilding#literature#writers on tumblr#writing prompt#spilled ink#history#creative writing#writing ideas#light academia#ivan kramskoy#writing resources
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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.
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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'
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Author's Note - I love this guy. What a fella, what an enjoyable cocky fella!!!! Thank you for requesting!
#aiko writez#transformers#mtmte#headcanons#idw#x reader#transformers x reader#lost light#reader insert#transformer headcanons#mtmte perceptor#perceptor x reader
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“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.
#cretaceous island if#interactive fiction#interactive game#interactive novel#if game#if wip#twine game#twine wip#twine if
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ੈ✩ Habits for your academic life
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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.
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☆ 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.
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ੈ✩‧₊˚
good luck lovelies
~winter
ଘ(੭ˊᵕˋ)੭* ੈ✩‧₊˚
#university student#self concept#studyblr#study#studygram#study motivation#student life#student#studying#university#uniblr#education#personal growth#personal development#glow up#college#college student#aesthetic#college life#assignment#science#study techniques#study aesthetic#overachiever#divine feminine#manifestation#successmindset#it girl#pink pilates girl#high value mindset
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This is a good starting point but its not exhaustive by any means...
#Research 101: Part 1
## How to find a good research topic?
It’s best to familiarize yourself with a discipline or topic as broadly as possible by looking beyond academia
Tips:
Be enthusiastic, but not unrealistic. For example, you might be tempted to throw yourself into finding out to what extent an entire economy has become circular, but it may already be challenging and tricky enough to find out which building materials are being recycled in the construction sector, and in what ways.
Be open-minded but beware of cul-de-sacs. You should always find out first whether enough is known about a topic already, or you might find yourself wasting a lot of time on it.
Be creative but stay close to the assignment. This starts with the topic itself; if one learning objective of the assignment is to carry out a survey, it isn’t helpful to choose a topic for which you need to find respondents on the other side of the world. One place where you can look for inspiration is current events.
Although professors and lecturers tend to be extremely busy, they are often enthusiastic about motivated and smart students who are interested in their research field. You do need to approach them with focused questions, though, and not just general talk such as: ‘Do you know of a good topic for me?’ In many cases, a good starting point is the scholar themselves. Do a search on them in a search engine, take a look at their university web page, read recent publications,
In most university towns, you’ll come across organizations that hold regular lectures, debates, and thematic evenings, often in partnership with or organized by university lecturers and professors. If you’re interested in transdisciplinary research where academic knowledge and practical knowledge come together, this is certainly a useful place to start your search.
If you want to do interdisciplinary research, it is essential to understand and work with concepts and theories from different research fields, so that you are able to draw links between them (see Menken and Keestra (2016) on why theory is important for this). With an eye to your ‘interdisciplinary’ academic training, it is therefore a good idea to start your first steps in research with concepts and theories.
##How to do Lit Review:
Although texts in different academic disciplines can differ significantly in terms of structure, form, and length, almost all academic articles (research articles and literature reports) share a number of characteristics:
They are published in scholarly journals with expert editorial boards
These journals are peer-reviewed
These articles are written by authors who have no direct commercial or political interest in the topic on which they are writing
There are also non-academic research reports such as UN reports, data from statistics institutes, and government reports. Although these are not, strictly speaking, peer-reviewed, the reliability of these sources means that their contents can be assumed to be valid
You can usually include grey literature in your research bibliography, but if you’re not sure, you can ask your lecturer or supervisor whether the source you’ve found meets the requirements.
Google and Wikipedia are unreliable: the former due to its commercial interests, the latter because anyone, in principle, can adjust the information and few checks are made on the content.
disciplinary and interdisciplinary search machines with extensive search functions for specialized databases, such as the Web of Science, Pubmed, Science Direct, and Scopus
Search methods All of these search engines allow you to search for scholarly sources in different ways. You can search by topic, author, year of publication, and journal name. Some tips for searching for literature: 1. Use a combination of search terms that accurately describes your topic. 2. You should use mainly English search terms, given that English is the main language of communication in academia. 3. Try multiple search terms to unearth the sources you need. a. Ensure that you know a number of synonyms for your main topic b. Use the search engine’s thesaurus function (if available) to map out related concepts.
During your search, it is advisable to keep track of the keywords and search combinations you use. This will allow you to check for blind spots in your search strategy, and you can get feedback on improving the search combinations. Some search engines automatically keep a record of this.
Exploratory reading How do you make a selection from the enormous number of articles that are often available on a topic? Keep the following four questions in mind, and use them to guide your literature review: ■■ What is already known about my topic and in which discipline is the topic discussed? ■■ Which theories and concepts are used and discussed within the scope of my topic, and how are they defined? ■■ How is my topic researched and what different research methods are there? ■■ Which questions remain unanswered and what has yet to be researched?
$$ Speed reading:
Run through the titles, abstracts, and keywords of the articles at the top of your list and work out which ideas (concepts) keep coming back.
Next, use the abstract to figure out what these concepts mean, and also try to see whether they are connected and whether this differs for each study.
If you are unable to work out what the concepts mean, based on the context, don’t hesitate to use dictionaries or search engines.
Make a list of the concepts that occur most frequently in these texts and try to draw links between them.
A good way to do this is to use a concept map, which sets out the links between the concepts in a visual way.
All being well, by now you will have found a list of articles and used them to identify several concepts and theories. From these, try to select the theories and concepts that you want to explore further. Selecting at this stage will help you to frame and focus your research. The next step is to discover to what extent these articles deal with these concepts and theories in similar or different ways, and how combining these concepts and theories leads to different outcomes. In order to do this, you will need to read more thoroughly and make a detailed record of what you’ve learned.
next: part 2
part 3
part 4
last part
#studyblr#women in stem#stem academia#study blog#study motivation#post grad life#grad student#graduate school#grad school#gradblr#postgraduate#programming#study space#studyspo#100 days of productivity#research#studyabroad#study tips#studying#realistic studyblr#study notes#study with me#studyblr community#university#student life#student#studyinspo#study inspiration#study aesthetic
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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.
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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.
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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".
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Superlinguo 2024 in review
I returned to full time work after a year of parental leave. That, alone, would have been enough for this year. Unfortunately, it turned into a terrible year at my university, with key senior colleagues in my department losing their jobs.
I like these reviews most year, but looking back on last year it feels even more important than usual to remember that there were some good things that happened in spite of everything going on with my university.
Lingthusiasm in 2024
Lingthusiasm turned 8! We maintained our regular pace, posting a dozen main episodes as well as our monthly bonus episodes for patrons. We plotted our vowels and covered a wide range of topics, including some great interviews with guests.
We launched our perfectly calibrated, Very Serious ‘Which Lingthusiasm episode are you?’ quiz guide you!
We were also reviewed in the New York Times, were featured in Lauren Passell’s Podcast the Newsletter, and conducted our final survey in the trilogy we planned.
We released a new sticker/badge that says "Ask Me About Linguistics", new merch that says "more people have read the text on this shirt than I have" and a range of merch with a very elegant Gavagai from Lucy Maddox, which are both available alongside merch for all kinds of linguists and language fans.
Main episodes
A politeness episode, if you please (transcript)
Helping computers decode sentences - Interview with Emily M. Bender (transcript)
OooOooh~~ our possession episode oOooOOoohh 👻 (transcript)
Welcome back aboard the metaphor train! (transcript)
Lo! An undetached collection of meaning-parts! (transcript)
The perfectly imperfect aspect episode (transcript)
How nonbinary and binary people talk - Interview with Jacq Jones (transcript)
Brunch, gonna, and fozzle - The smooshing episode (transcript)
Scoping out the scope of scope (transcript)
What visualizing our vowels tells us about who we are (transcript)
Connecting with oral culture (transcript)
No such thing as the oldest language (transcript)
Bonus episodes
Crochet vocal tract, grammar is a team sport, gifs, and soy sauce - Deleted scenes from Jacq Jones, Emily M. Bender, and Tom Scott team interviews
Metaphors be with you! Lingthusiasm x Let’s Learn Everything crossover episode
Linguistic Travel - Estonia, Mundolingua, and Martha’s Vineyard
Xenolinguistics 👽
Behind the Scenes on the Tom Scott Language Files
Don’t you love to do a “do” episode?
The best and worst comparatives episode
Linguistic mixups - spoonerisms, mondegreens, and eggcorns
Secret codes and the joy of cryptic word puzzles
Inner voice, mental pictures, and other shapes for thoughts
How we made vowel plots with Bethany Gardner
Are thumbs fingers and which episode of Lingthusiasm are you? Survey results and a new personality quiz
Themself, Basque ergativity cartoons, and bad swearing ideas - Deleted scenes from Kirby Conrod, Itxaso Rodriguez-Ordoñez, and Jo Walton and Ada Palmer
Top Superlinguo posts in 2024
I honestly expected to have nothing to post here, so it's lovely to know that I do still get small changes to blog throughout the year.
General posts
Research Data Management. Or, How I made multiple backups and still almost lost my honours thesis.
Thinking With Your Hands, Susan Goldin-Meadow (Review)
How to Talk Language Science with Everybody, Laura Wagner & Cecile McKee (Review)
Himalayan Linguistics turns 20: Celebrating two decades of Diamond Open Access publish
Himalayan Linguistics, Linguistics Vanguard and the Australian Journal of Linguistics - my three journal editorial hats
2024 LingComm Grants – Small Grants for Communicating Linguistics to Wider Audiences
2024 LingComm Grantees: New linguistics projects for you to follow
New gesture Emoji in Unicode 15.1: Head Shaking Horizontally and Head Shaking Vertically (aka shake and nod!), and (finally) right facing emoji
Academic articles in 2024
Four publications this year, across lingcomm, gesture and emoji. I also spent a lot of this year finishing Gesture: A Slim Guide, which will be out with OUP in 2025.
McCulloch, G. & L. Gawne. 2024. Towards a theory of linguistic curiosity: applying linguistic frameworks to lingcomm and scicomm. Linguistics Vanguard 10(s3): 181-189. DOI: 10.1515/lingvan-2024-0073 [OA published version][blog summary]
Gawne, L., & Cooperrider, K. (2024). Emblems: Meaning at the interface of language and gesture. Glossa: a journal of general linguistics. doi: 10.16995/glossa.9705 [OA published version][blog summary]
Cabraal, A. & L. Gawne. 2024. Using emoji as a creative tool for data analysis. In H. Kara, D. Mannay & A. Roy (Eds), The Handbook of Creative Data Analysis, 201-212. Bristol: Polity Press.
Gawne, L., G. McCulloch, N. Sweeney, R. Alatalo, H. Bodenhausen, C. Riley & J. Grieser. 2024. Creating Inclusive Linguistics Communication: Crash Course Linguistics. In A. Charity Hudley, C. Mallinson, and M. Bucholtz (Eds), Inclusion in Linguistics, 383-396. Oxford University Press. [Open Access PDF][blog post summary]
The year ahead
After a year of upheaval, next year will be a time of rebuilding. There will be a new team, a new curriculum, and I'm not silly enough to assume that also means a new, manageable pace of work. I'll still be sharing work here and recording Lingthusiasm. I've also been spending more time on Bluesky, perhaps I'll see you there?
Browsing old Superlinguo content?
I have a welcome page on the blog that points you to aggregate posts, and series of posts I've done over the years, as well as themed collections of posts that have appeared on the blog in the last twelve years.
Previous years
Superlinguo 2023 in review
Superlinguo 2022 in review
Superlinguo 2021 in review
Superlinguo 2020 in review
Superlinguo 2020 (2019 in review)
Superlinguo 2019 (2018 in review)
Superlinguo 2018 (2017 in review)
Superlinguo 2017 (2016 in review)
Superlinguo 2015 highlights
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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
#did#actually did#did community#did osdd#did system#dissociative identity disorder#sysblr#plural#system stuff#jeducates
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Get to know your mutuals!!!
Thank you for the tag @b1uetrees 💚
What's the origin of your blog title? Once in university I misspelled my own surname and submitted that essay with the part of my surname containing Zozo instead of Kozo. It kind of became a joke and a nickname my bf uses for me. I'm a Spanish language and literature student and I like the word zozobra, but to be less obvious I added bruh so it's zozobruh lol
OTP(s) Shipname: kinnporsche 4ever, JWDS from Beyond Evil, Victuuri, lately I'm on Gelphie train, many more 😂
Favourite colour: green (emerald and sage greens especially)
Favourite game: Animal Crossing :D
Song stuck in your head: Basic being basic, I'm excited for the Djo new music!
Weirdest habit/trait? If I have a receipt or a piece of paper in my pocket, I will shred it with my thumb and index finger. Idk if that's weird, but I can't think of anything weirder rn
Hobbies: writing, playing cozy games, journaling, watching TV shows and anime, reading, learning languages (currently I'm looking to get into Thai!)
If you work, what's your profession? I used to work as an IT support specialist, but I realized it wasn't for me and the three shifts (morning, afternoon and night) were killing my health so I quit. This gives me time to finally complete my master's studies, I hope I will be done soon!!!
If you could have any job you wish, what would it be? During university my favorite classes were data science classes so I for sure want to work with data, I would love a data analyst job.
Something you're good at: learning languages
Something you're bad at: singing :D
Something you love: sitting in my armchair with a cup of tea and a book on a rainy day
Something you could talk about for hours off the cuff: whatever piece of media I'm into and linguistics
Something you hate: rude and inconsiderate people
Something you collect: stickers and washii tape
Something you forget: to take my pills (I swear I'm taking one after this)
What's your love language? I give physical touch (and quality time), I like to receive quality time!
Favourite movie/show: everything everywhere all at once
Favourite food: potato salad my beloved
Favourite animal: TOO HARD. I love cats, frogs, ducks, turtles, dolphins, bears, dogs, lizards and wombats (AND MANY MORE)
What were you like as a child? Bubbly social butterfly
Favourite subject at school? English, Spanish and Croatian
Least favourite subject: Chemistry
What's your best character trait? I'd say that I'm easy to talk to
What's your worst character trait? I can get nervous easily
If you could change any detail of your life right now, what would it be? I just want my degree already so that I can hunt for jobs more easily!!!
If you could travel in time, who would you like to meet? Marija Jurić Zagorka (Croatian writer, queen, girlboss!)
No pressure tags: @dummerjan @vanillalipstick66 @longswordlesbians and any mutuals who feel like it :D
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Learn the best programming language for data science
When it comes to data science, learning the best programming language is essential. Learn which language is widely recognized as the top choice for data scientists. If you're looking to embark on a data science journey in Delhi, enrolling in a reputable data science course can help you master skills and unlock the potential of this versatile language in your data-driven career.
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