#python for beginners notes

[blogpreetikatiyar]

Future of AI : Playground OpenAI

Artificial Intelligence 

Artificial intelligence (AI) is a branch of computer science aimed at creating intelligent machines. Applications in areas such as robotics, natural language processing, and image recognition have made it an integral part of the technology industry. AI technology can solve complex problems and automate tasks too tedious for humans.

In Simple Words – 

Artificial Intelligence is the ability of machine to think like humans, solve-real world problems, by improving on their own from past experience, just like as human do. 

Intelligence is composed of :

Reasoning

Learning

Problem Solving

Perception

Linguistic Intelligence

Types of AI -

Reactive Machines: Reactive machines are AI structures that depend upon modern enter in place of counting on beyond experience. Examples of reactive machines consist of Deep Blue, an AI device for gambling chess, and AlphaGo, a device for gambling the Chinese board sport Go.

Limited Memory: AI systems with limited memory can use past experience to make current decisions. Examples of AI with limited memory are self-driving cars that remember past roads and obstacles, and AI assistants that remember user preferences.

Theory of Mind: A theoretical AI system should understand and interact with people on an emotional level. These types of AI systems can be used to create virtual assistants or chatbots that understand natural language and provide personalized responses.

Self-Aware: Self-aware AI systems are designed to understand their enviroment and make decisions based on that understanding. Such AI systems can be used for things like autonomous robots and virtual agents.

Learn more about Artificial Intelligence in detail – Click here 

Why do we need Artificial Intelligence?

Increased efficiency: AI can automate tasks and processes, allowing humans to focus on more important or higher-value work. This can lead to increased productivity and efficiency

Increased productivity: AI can automate routine tasks and free up human workers to focus on more complex and creative work.

Enhanced decision-making: AI can analyze data and provide insights that can help humans make more informed decisions.

Improved accuracy: AI systems can often perform tasks with a higher degree of accuracy than humans, especially when it comes to tasks that involve large amounts of data or that are repetitive.

Automating routine tasks: AI can be used to automate routine tasks, freeing up humans to focus on more complex and creative work.

Overall, the use of AI has the potential to improve efficiency, increase productivity, and enhance decision-making in many different fields.

Application of Artificial Intelligence – 

Artificial intelligence (AI) has a wide range of applications and is being used in many different industries. Here are a few examples of how AI is being used today:

Healthcare: AI can be used to analyze medical records, make diagnoses, and recommend treatment options.

Education: AI can be used to personalize learning, provide tutoring and feedback, and assess student progress.

Customer service: AI can be used to provide assistance and support to customers through chatbots and virtual assistants.

Agriculture: AI can be used to optimize irrigation, predict crop yields, and monitor livestock health.

These are just a few examples of how AI is being used today. AI has the potential to revolutionize many industries and improve our daily lives in a variety of ways.

Future of AI – 

The future of AI is difficult to predict, but many experts predict that AI will have a major impact on our lives over the next few years. AI technology will continue to evolve and applications of AI will become more prevalent in our daily lives, from medicine to transportation. AI is used to automate and streamline many everyday processes, making them more efficient and accurate. AI is also being used to improve human-machine communication and make decisions more accurately and quickly. Advances in AI will enable machines to understand, learn and adapt more and more, allowing them to interact more naturally with humans. Ultimately, AI will continue to be a powerful tool for improving our lives, but its potential is only just beginning to be explored.

The future of AI is still unknown, but it will be interesting to see how this technology evolves over time.

Artificial Learning is the superset of Machine learning and Deep Learning.  

In order to learn Artificial Intelligence, one should start with the concepts of Deep Learning and Machine Learning, as it one of the most effective ways to learn Artificial Intelligence for beginners.

Know more, What is Machine Learning?

Let’s talk about one such Futuristic AI tool – Playground OpenAI

Playground OpenAI

Playground OpenAI is an interactive web platform developed by OpenAI, a San Francisco-based artificial intelligence lab, that allows developers to experiment with reinforcement learning algorithms and neural networks. The platform provides a virtual environment where users can create and train agents to solve various tasks and challenges. It also allows users to explore the capabilities of reinforcement learning and neural networks and interact with existing his OpenAI models.

“OpenAI's Playground can respond to any prompt”

Playground is a predictive language tool. In other words, it has AI trained to complete or respond to input in the most trustworthy and "human" way possible. Bots like this have been around for years (remember Cleverbot?), but Playground lets you use the best of OpenAI tools to run your tests.

It comes with several different templates to help you get inspired. For example, you can select Chat to have a conversation with your bot, or select Q&A to set up a question-and-answer session with your bot. However, users had the most fun when they were simply asked to write a story or come up with an idea for a new TV show.

There are other modes where you can enter text someone has already written and let the AI ​​insert or edit new text. You can also change things like "Temperature" (response logic) and "Frequency" (number of repetitions).

It is very useful for people from different fields, students, teachers, professionals and many others.

Searching for a question returns an answer. You can also create computer programs using OpenAI tools.

Let’s see an example – 

Also, read – Top Technology Trend to Look out for in 2023

[izicodes]

hi!! do you have any free resources or textbooks for learning python? i’m doing my dissertation and i need a refresher before i start doing it properly. thanks!!

Hiya! 💗

Here you go:

Book

Python Objects and Classes

Roadmap.sh

Random Python Resources

Top 20 Python Projects for Beginners to Master the Language

Free Programming Books

Python Notes and Resources by @trialn1error

Python Official Roadmap

Python Project List

Python 3 Cheat Sheet

Python Cheatsheet for Beginners

These are the ones' I've shared on my blog over the years! Hope their helpful! 🥰👍🏾💗

[is-the-snake-video-cute]

are rosy boas good snakes if you want ones you can just chill with and hold? they've really caught my attention but i really want one i can hang out with and go a little slower than my current corn snake, who is Very Much on the move all the time. otherwise recommendations for good snakes to chill with that are in the beginner/intermediate range are welcome :)

Rosy boas are great for that! They tend to be very slow-moving and easy to hold.

A few other suggestions -

Especially if you've already got some snake experience, ball pythons are, like, the champs of being good snakes to hang out with. They can be very sensitive snakes but they're slow-moving beasts as a rule.

Sand boas are similar! You wouldn't be disappointed with one of these.

If you like the vibes of colubrids but want a slower snake, hognoses are actually really wonderful here. They're very small snakes but they move like bigger ones; they're slow-moving and much easier to just hang with than a lot of other colubrids (who are, as you note, typically very active).

[trialn1error]

Python Notes and Resources

Hey! I made a bunch of Python notes a bit ago and decided to share them. They're really beginner friendly, and include a bunch of external sources that I used and continue using at the end. Hope this helps someone!

Notion Notes

[flowersandfigtrees]

Epithets, Explained

Introduction

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I’m just making this post to help explain exactly what epithets are, how they’re used, and the different types. I know that for beginners, getting a hold of all the terms used in relation to deity worship and/or work can be tough, and I’ve seen this subject trip people up in the past when they read about certain deities or translations of ancient texts.

For a quick definition, epithets are “an adjective or descriptive phrase expressing a quality characteristic of the person or thing mentioned”. In relation to epithets of deities, you might also see them called ‘surnames’ and they're basically nicknames or bynames to refer to specific aspects or forms of a deity. Typically, they’re used alongside the actual name of the deity but there’s also plenty of times where only the epithet is used, such as calling Apollo by simply “Phoebus” and not “Phoebus Apollo” or calling Athena by only saying “Pallas”. This happens a lot in texts like the Iliad or the Aeneid where using the full name paired with the epithet every time would eventually end up sounding too repetitive but also, to ancient people, certain epithets would have been easily recognizable on their own and they wouldn’t need to have the actual name given. They can come before or after a deity’s actual name, order doesn’t really matter, it’s just whatever grammar rules you’re following.

Types & Examples

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Generally speaking, there are four main types of epithets used in polytheistic religions: regional, functional, syncretic/fusion, and poetic. And just as a note; most of my religious experience is with Greek, Roman, and Gaulish religions so that’s where I’m gonna be getting most, if not all, of the examples used below.

The categories are, for the most part, arbirtrary but can be helpful when understanding epithets in a general sense when you come across them. Some types overlap with each other, for example, Dionysos Melanaigis (lit. Dionysos of the black goatskin) refers jointly to a functional/cultic role his worship played in a ritual during the Apaturia festival in Athens AND to a story in myth where he wears a black goat skin and comes to the aid of a guy named Melanthus (which is the mythic explanation for why he’s worshipped during Apaturia) but it makes Melanaigis a regional epithet (only used in Athens), a functional cult epithet (was only during rites to him for a specific event) and a mythic epithet (as it refers to a specific mythic event). Similarly, there's examples with Apollo; Delphios Apollo refers to both the form of Apollo specifically in Delphi (regional epithet) AND to Apollo in his function as an oracular deity of prophecy (functional), and Pythian Apollo refers to Apollo around the area where he slayed the mythical Python (so both a reference to myth as well as regional, in this case referring to the area around Delphi) and also functional, since it can refer to his oracular function.

Additionally, epithets can be shared by multiple deities, “Phoebus” was used to refer to both Apollo and Helios, “Antheia” was both the name of a standalone deity as well as an epithet to Hera and Aphrodite, “Bacchus” was an epithet for the Etruscan god Fufluns and to Dionysus and would eventually become to go-to byname for Dionysos in Rome. There are also epithets such as “Aetnaeus” which refers to any number of deities associated with Mount Etna, including Zeus and Hephaestus, and “Eleutherios” which could refer to Dionysos, Zeus, or Eros.

i. Regional Epithets

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The first type is regional or locative/toponymic epithets. These are used when referencing a form of a deity that is unique to a certain place for whatever reason or originated there. Sometimes deities will have unique local forms because of the inevitable variations of religion in any given culture (no religion is or was a monolith) and there may or may not be pseudo-historical/mythical reasons for the specific local variation. But it's pretty much just saying “the form of this deity that resides in Town A” or “the form of this deity representing a specific thing they did at this site”, examples include:

➻ Diana Nemorensis — literally: “Diana of Nemi”, used specifically to refer to her cult at Lake Nemi and was the form of Diana celebrated there during Nemoralia.

➻ Apollo Palatinus and Apollo Delphios — literally: “Apollo on the Palatine” referring to the temple built to him on the Palatine Hill in Rome by Augustus, this form of Apollo was also Augustus’ personal protector. Apollo Delphios was mentioned earlier but it refers to the oracular-centric form of Apollo in Delphi.

➻ Artemis Ephesus — literally: “Artemis of Ephesus”, refers to a form of Artemis unique to the city of Ephesus who had a very different representation to the other forms of Artemis. This manifestation of her was transported to multiple other cities such as Massalia and it was a form that was a sort of mother-goddess.

➻ Zeus & Hephaestus Aetnaeus — literally: “of Mount Etna”, for Zeus it refers to the form of him which has a small shrine and festival there and for Hephaestus, it refers to where he has his workshop.

ii. Functional Epithets

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These epithets are ones that reference a specific (often cultic) function of the god. Many deities have multiple roles or concepts they embody and have domain over, so epithets can be used to zero-in on just the side of a deity relevant to why you’re praying to them or giving offerings. There are also festival-specific epithets which can be used on specific festivals in honor of that aspect of the given deity. Some examples include:

➻ Hercules Olivarius & Hercules Augusti — literally: “Hercules of the Olive Merchants”, referring specifically to his ability to guard the olive industry in Rome and also “Hercules of the Emperor” which was used to refer to the aspect of Hercules that guarded Roman emperors. (Gotta say, if I had to choose, it's Olive-Merchant Hercules every time for me)

➻ Hermes & Apollo Theoxenios — literally: “of the Theoxenia festival” and was the name used to invoke both Hermes and Apollo during that specific festival.

➻ Aphrodite Areia — literally: “Warlike Aphrodite” or “Aphrodite of War”, used to call specifically on Aphrodite’s war function.

➻ Apollo Acestor & Apollo Kataibates — literally: “Apollo the Healer”, was used when calling on Apollo to aid in healing, and Apollo Kataibatês literally meant “Apollo, Protector of Travelers” (also used for for Hermes) and was used by people to thank him for a safe journey or to ask for protection on a journey they were about to take.

➻ Poseidon Isthmia — literally: “Poseidon of the Isthmian Games” which was used only to call on him during this athletic festival.

➻ Ceres Legifera — literally: “Ceres, Keeper of the Laws (of marriage)”, was used to invoke her in marriage processions and during the confarreatio (a type of Roman marriage ritual where the couple eats a cake made with sacred wheat)

iii. Syncretic Epithets

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Another form of epithets are those that serve to equate or combine deities. Oftentimes, foreign deities from one culture may transform into epithets of deities from other cultures or two deities within a single culture might be combined into one. This was especially common with Iron-Age Celtic deities in places that adopted aspects of Roman and Greek religion due to being governed by or just from existing in close proximity to them. Within Greek religion, it was common for more “archaic” or minor deities to become epithets of deities that held more cultural prominence. Some examples include:

➻ Apollo Grannus, Apollo Maponos, & Apollo Belenos — Grannus, Maponos, and Belenos were all standalone deities in Gaulish culture that became associated with Apollo once Roman religious influence spread. Each has their own unique nuance but all seem to be related to Apollo’s healing function

➻ Mars Condatis & Mars Toutatis — Both Condatis and Toutatis are also independently attested Celtic gods and both were interpreted to be a form of Mars. Through some of his Celtic epithets, Mars gained a traditionally uncharacteristic healing function.

➻ Sulis Minerva — Sulis is a Brythonic healing goddess and through her identification with Minerva, enjoyed a pretty large cult in Roman Britain.

➻ Poseidon Erechtheus — a fusion of Poseidon and a mythical king of Athens who was most likely a minor deity at some point. It would go on to be used as a name for Poseidon when in relation to Athens.

➻ Dionysos Zagreus — This is an equation that happened mostly in Orphism and other mystic cults but the earliest evidence suggests that Zagreus was originally a standalone deity or an aspect of Hades which later became an aspect of Dionysos.

➻ Mars Quirinus — Quirinus simultaneously became an epithet to Mars and also maintained an independent presence in Roman religion. It’s partly through his identification with Mars that the latter started to be more warlike as opposed to an agricultural deity.

➻ Pallas Athena — In some tellings, notably in pseudo-Apollodorus’ “Bibliotheca”, this name is the result of Athena taking the name of a Titaness named Pallas, daughter of Triton. Could also be a fusion of Athena and the giant named Pallas.

➻ Serapis/Osorapis/Userhapi — Userhapi and Oserapis are transliterations of the coptic name for Osiris-Apis which became Hellenized as “Serapis” under the Ptolemaic dynasty. It is the result of identifying Apis (a sacred bull turned deity during the Second Dynasty) and the Egyptian god Osiris.

iv. Poetic Epithets

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Poetic (or literary) epithets are, well, epithets just used poetically in ancient literature. They don’t refer to cult or ritual functions and usually either are physical descriptors, compliments, or mythic achievements. It can also include any epithets used to describe mythic standing in relation to other gods, such Ovid calling Aurora “Pallantias” to signify that in his telling, she’s the daughter of the titan Pallas. They can be used in a devotional sense and in a more solely creative one to evoke a certain feeling from the reader and set a scene and they may be referred to as “Homeric epithets” as well since many come from Homeric works. Another function of Homeric epithets can be to help a line of poetry satisfy the line/format requirements of dactylic hexameter. Here's a nifty overview of the grammatical and descriptive purposes for various epithets in the Iliad and Odyssey. If you’ve ever read ancient epic poetry then you’ve encountered loads of poetic epithets, examples including:

➻ Eos Rhododactylos: literally “Rosy-Fingered Eos”, Eos Erigenia: literally “Early-Born Eos”

➻ Aphrodite Philommeides: literally “Laughter-Loving Aphrodite”, Aphrodite Eustephanos: literally “Richly-Crowned Aphrodite”

➻ Artemis Khrysenios: literally “Artemis Who Holds Golden Reins”, Artemis Keladeinos: literally “Strong-Voiced Artemis”

➻ Hermes Argeiphontes: literally “Hermes, Slayer of Argos” (a shepherd he killed in myth), Hermes Kharidotes: literally “Hermes, Giver of Joy”

➻ Hades Polysemantor: literally “Hades, Ruler of Many”, Hades Nekron Soter: literally “Hades, the Savior of the Dead"

Using Epithets

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When it comes to using epithets in your practice, it's largely a personal choice. By no means is it something that you MUST do but, it's also not something that doesn't have a place in modern polytheism. I, for one, tend to find that it can connect my worship to a certain form/aspect of a deity (for instance, Apollo) more quickly or serve to "set the mood" more effectively. I tend to pray to epithets of him for his healing/protective/oracular roles, however, I'm not as personally connected to his musical/artistic roles so on the relatively rare occasions that I find myself wanting to invoke those aspects, using epithets related to that makes me feel closer to them. They can also be used to enhance prayers if you're someone who enjoys having very artistic wording or just wants to glorify the deity you're praying to.

Another way I like to use epithets is to create my own to use in prayers or as a devotional activity. This could mean creating new poetic epithets as compliments to a deity, creating an epithet to invoke them at a local place, or even making an epithet for a role they have in your UPG but do not traditionally have. I usually try to make them in various forms of Ancient Greek, Latin, Gaulish, or in English but you could utilize any language you feel like, it doesn't need to be the language of the ancient culture(s) where the deity was worshipped. And importantly, it doesn't need to perfect. I am certainly not fluent in any form of Ancient Greek or in Latin so it can take a while to get the correct (or even just loosely acceptable) grammatical set-up and lots of comparison with actual ancient epithets. Just for some examples, here's some epithets I've created for various deities:

➻ Dionysos Tautoteus: literally "Dionysus of Identity" but I made it to refer to him as a protector/affirmer of self-identification in relation to sexuality and/or gender.

➻ Eos Dendrokhoria & Eos Anthestephanos: literally "Eos who Dances in the Trees" to refer to when the sunrise is barely visible above the tree line (I usually pray to her at dawn and there's a forest in that direction from my house lol) and the second is literally "Flower-Crowned Eos", just a reference to her being traditionally described as wearing flowers.

➻ Sirona Lindaia: literally "Sirona of the Lake" which I made to use when praying or giving offering to her at lakes, pretty self-explanatory but I also have made a bunch of others for her such as Sirona Nantaia (Sirona of the Stream), Sirona Natrix (Sirona of the Snake), and Sirona Dumnorigana (Sirona, the Queen of the Depths).

Some Useful Resources for Epithets

For most Greek deities, you can find lists of epithets to them online on places such as Theoi.com, within classical texts such as various Homeric Hymns, epics, histories, etc. Theoi is a great site in general, however it can occasionally lack further explanation and context for epithets so if you find that one isn't clarified enough, try searching it up independently.

Wiktionary.com is actually a really great free resource for looking up etymology and the ways different words are/were used in various languages.

For other languages, check things such as epigraphy [for example, CIL databases (Latin) or this EDH CIL database (across the Roman sphere), RIB databases (Roman Britain), IG databases (Greek)], curse tablets, papyri, etymological dictionaries or regular dictionaries. These can be really useful for obvious reasons. For non-Latin Italic languages and ancient Celtic languages, I tend to use etymological/reconstructed dictionaries this for Celtic languages and this for Etruscan. But again, you can make epithets just in the language you already speak, there's no need for them to be in some ancient or reconstructed one. Its literally whatever you want.

This was originally a blogpost of mine on the P&W Amino but has been reformatted for (and reshared) here since amino is heading towards its inevitable end... rip

[malarvizhi]

மலர்விழி || eyes like flowers || codeblr & studyblr

malar -she/her - minor

✰ substack ✰

✰ looking to be in the computer science field

✰ very much a beginner </3

✰ tamil nri (living in the united states)

✰ self-determinism is a human right

projects:

✰ language

- start up language journal - translate a song

✰ html & css:

- personal blog (neocities)

✰ python

N/A

✰ javascript

N/A

✰ miscellaneous

- set up obsidian - visual novel story boarding - read & take notes on 'The Argumentative Indian' - read & take notes on 'White Tears/Brown Scars'

[liliths-missing-pen]

Idia With Yuu Who Wants To Learn How to Program Games

Not gonna lie this is a very self indulgent piece because my computer programming class is making me want to code but I also want to write 💀 This is my compromise here.

Notes/Warnings: Reader is Yuu, I am in the English server and wish to not know what happens in Book 6 till it comes out so artistic liberties will be taken. Also, Idia might seem a little ooc but when checking the wiki it says he gets excited and talkative when stuff he likes gets brought up so I took it and ran with it. Enjoy!

Masterlist

Before you came to Twisted Wonderland you already known how to code. Mostly just from camps that your family made you do or just out of general interest. Nonetheless you only knew the minimal to basic things, like HTML, CSS, a little bit of Javascript and Python as well C++. So to say the least there wasn’t that much you could do especially as a beginner. You’ve always seen video games or visual novels and wished you’d be able to do something like that one day but yet, you never got around to polishing skills or making yourself actually do anything to get yourself to that goal.

Jump skip to know that you are in Twisted Wonderland. You didn’t know much about this world at all, lots of things were different than your own world. The way things were done, school expectations, slang, magic. So to say, you just expected that anything you knew would be just thrown out the window one way or another. Once you met Idia though you felt more secure in your knowledge. Idia was someone who you can imagine to be the most normal in your world. He was one of those kids in your class at the back of the room, typically not speaking to anyone unless prompted. Now you may wonder, “How did the Ramshackle prefect become associated with the shut-in hermit?” Well like any other instance, Ortho.

Ortho was extremely persistent that once you expressed interest or made an off-handed comment that you knew some code and loved visual novel games, you should meet his brother. Honestly, the issue wasn’t to convince you, it was Idia that needed convincing.

Since it wasn't Idia who invited you to his dorm, he was flipping out when Ortho told him to expect you. He's heard about the notorious Ramshackle prefect who dealt with Overbolts even though they're magicless. He couldn't lie and say that he wasn't interested in you though. Not everyone was able to do that. He just wasn't sure if he could do this right now.

Once you did arrive, Ortho carried most of the conversation. Idia was trying his best to try to make conversation as well but he couldn't bring himself. It was hard to talk to a normie okay?!

Well, that's what he kept thinking after each of his failed attempts. Ortho knew what to do though, he knew his brother would have issues so he hacked into your Magicam account to learn more about you till he ran upon all the gaming and anime accounts you followed. He put to and to together and this was Ortho's plan to make you two talk normally. Once he mentioned a game he knew both you and Idia played it was the start of something great.

Idia's attitude towards you changed completely once you talked about video games and anything else he was into. Which dragged into how the game was coded and whatnot. Once you mentioned how you wanted to program your own game and your vision he was just like an over-excited child he ushered you over to his game, asking how much you knew about code and how fun it would be to create a game.

But basically, once he dragged you in it'll be very hard to leave. Your whole friendship with Idia from then on was built on the game y'all were creating together, anime and gaming. Not that you'd complain it was very to have Idia around. Just that you'd always have to start up the conversion since Idia will always second guess himself

Even once you two finish creating your game Idia would still keep you around. He'd even start being the one to invite you instead of just showing up! After helping you learn and sharpen your skills in programming by working on a game together, you'd start to help him out too! If you know anything about programming, especially C++ you know how picky it is with its writing. Whilst he's off typing quickly you start to point out to him certain things he's missing, like a semicolon on something that'll screw the whole code up.

Wholeheartedly once you make friends with Idiai from one of his special interests it's going to be hard to pull him away from you <3

[wh40kdr]

Beginnings (13/06/2024)

Okay story-time. Last summer, sometime in late July, I (Sam) started playing Warhammer 40k, as part of a large group of people who all started playing at my pub. My faction of choice was Orks, because frankly, they are simple to play, fun to run, have awesome minis, and (if you're as dreadful at painting as I am) easy to paint for beginners, because small mistakes fit the aesthetic.

Now many people who play 40k derive a lot of fun out of the process of rolling dice (myself included), but when you run lots of models with a variety of weapons, rolling all the dice, and counting the results can be very tedious and very time consuming, especially for high volume attacks that aren't very effective or consequential.

Luckily for me, in my spare time (Note: read as what I actually do) I moonlight as an undergraduate Physics student in the UK, and as part of my course I learn coding, probably with the intention of eventually having a career that relies on my coding skills. So I thought, rather than using one of the many fully-functional, and probably much better made Dice Rolling apps available on the Google Play Store, I would instead test my coding skills this summer (and probably into the foreseeable year to be honest), along the way possibly teaching some basic coding and statistics, and showing how the development of anything is a series of f*ck ups that eventually lead to the right result as I move from Python 3, to whatever software seems most suitable for basic app development.

I also might occasionally post some pictures of Warhammer things I've painted (badly) but who knows. For know this is Sam signing-off.

[raomarketingpro]

Free AI Tools

Artificial Intelligence (AI) has revolutionized the way we work, learn, and create. With an ever-growing number of tools, it’s now easier than ever to integrate AI into your personal and professional life without spending a dime. Below, we’ll explore some of the best free AI tools across various categories, helping you boost productivity, enhance creativity, and automate mundane tasks.

Wanna know about free ai tools

1. Content Creation Tools

ChatGPT (OpenAI)

One of the most popular AI chatbots, ChatGPT, offers a free plan that allows users to generate ideas, write content, answer questions, and more. Its user-friendly interface makes it accessible for beginners and professionals alike.

Best For:

Writing articles, emails, and brainstorming ideas.

Limitations:

Free tier usage is capped; may require upgrading for heavy use.

Copy.ai

Copy.ai focuses on helping users craft engaging marketing copy, blog posts, and social media captions.

2. Image Generation Tools

DALL·EOpenAI’s DALL·E can generate stunning, AI-created artwork from text prompts. The free tier allows users to explore creative possibilities, from surreal art to photo-realistic images.

Craiyon (formerly DALL·E Mini)This free AI image generator is great for creating quick, fun illustrations. It’s entirely free but may not match the quality of professional tools.

3. Video Editing and Creation

Runway MLRunway ML offers free tools for video editing, including AI-based background removal, video enhancement, and even text-to-video capabilities.

Pictory.aiTurn scripts or blog posts into short, engaging videos with this free AI-powered tool. Pictory automates video creation, saving time for marketers and educators.

4. Productivity Tools

Notion AINotion's AI integration enhances the already powerful productivity app. It can help generate meeting notes, summarize documents, or draft content directly within your workspace.

Otter.aiOtter.ai is a fantastic tool for transcribing meetings, interviews, or lectures. It offers a free plan that covers up to 300 minutes of transcription monthly.

5. Coding and Data Analysis

GitHub Copilot (Free for Students)GitHub Copilot, powered by OpenAI, assists developers by suggesting code and speeding up development workflows. It’s free for students with GitHub’s education pack.

Google ColabGoogle’s free cloud-based platform for coding supports Python and is perfect for data science projects and machine learning experimentation.

6. Design and Presentation

Canva AICanva’s free tier includes AI-powered tools like Magic Resize and text-to-image generation, making it a top choice for creating professional presentations and graphics.

Beautiful.aiThis AI presentation tool helps users create visually appealing slides effortlessly, ideal for professionals preparing pitch decks or educational slides.

7. AI for Learning

Duolingo AIDuolingo now integrates AI to provide personalized feedback and adaptive lessons for language learners.

Khanmigo (from Khan Academy)This AI-powered tutor helps students with math problems and concepts in an interactive way. While still in limited rollout, it’s free for Khan Academy users.

Why Use Free AI Tools?

Free AI tools are perfect for testing the waters without financial commitments. They’re particularly valuable for:

Conclusion

AI tools are democratizing access to technology, allowing anyone to leverage advanced capabilities at no cost. Whether you’re a writer, designer, developer, or educator, there’s a free AI tool out there for you. Start experimenting today and unlock new possibilities!

4o

[king-fae]

6/100 days of code.

1.3.24

happy new year! im late, but it still applies

this is not a personal blog, so ill keep this brief: life happened, and c++ took a backburner. im not abandoning this project! in searching for inspiration to do this challenge before i started, i noticed that not many got very far- so ive decided in this time between the last post and now that i need to go at my own, albeit weird, pace. aka: do days as i can, and not do the catch-up thing i was doing. adhd can do that to ya. once im back on a schedule with school ill be able to incorporate c++ into my routine, whereas aside from my new job im flying solo which makes it historically difficult for me to get stuff done xP

where i left off a week ago, doing W3schools's C++ tutorial, i finished the function section, and today i began the classes section, which peaking at the section headers, made me excited. object-oriented programming is not something i learned in my intro to cs class with Python, and i know C++ does it well, so im pumped to be able to start programming with this.

unfortunately, though, the problem of it being a fairly informal educational resource does rear its head in this section, as im reading and studying this stuff, but can feel it not retaining. this website is better used as a reference resource, rather than a study one, but it is still worth studying imo as it breaks down concepts very simply. thus: im now beginning the C++ beginner course from exercism (an open source resource!!!!), which has a built in compiler, course material, and ability to get support on their discord. cool stuff! it took a minute for me to get acquainted with how it works, as i assumed the instructions were solely a repeat of the lesson, but there were. actual. instructions. beneath that lol so once i got that figured out i was able to properly solve the first exercise without issue.

the lesson material moves fast in its examples, but that is not reflected in the exercises, which was a relief as that impacted my first run, over-complicated tinkering i did before i realized there were actual values given i was supposed to input. theyre complicated but not too difficult to parse, which is a good show of what ill be learning to create as i progress.

final note though, as this is getting long: having W3schools as a resource while doing exercises material is very good, as while the first exercise i did went easily, the second one is jumping into if statements before ive had the chance to learn them from the website, so being able to refer to what they operate like was very helpful. this below is what saved me from error hell, as i had forgotten how to format them already:

im a goof and overcomplicate shit, so was not supposed to use if statements. oh well. this still helped to make it accurate lol

int myAge = 25;

int votingAge = 18;

.

if (myAge >= votingAge) {

.....cout << "Old enough to vote!";

} else {

.....cout << "Not old enough to vote.";

}

[animehouse-moe]

Shangri-La Frontier Episode 2: A Peculiar One

Worldbuilding. Incredibly important, hard to pull off sometimes. Shangri-La Frontier seems to have zero problem with it. As it does with action, and comedy, and basically everything. It's an incredibly smooth series through these two episodes, and it gives me a lot to talk about!

So let's talk worldbuilding first. While the wolf does show up in the opening, it's actually featured somewhere else more importantly. Yeah, in the image that I used for the cover of this post.

One of the new players actually points out the emblem that adorns this massive suit of armor. That emblem being a wolf holding a sword. Hmm, interesting choice for what's noted as an "achievement focused clan". To put two and two together, the clan's chasing after the unique monster that appeared to Sunraku at the end of the episode. Mostly because after we're treated to its appearance, we've learned that zero unique monsters have been defeated.

What about sneaky boss mechanics then? Ravenous Python is the area boss that blocks beginners from making it to the second town. Forcing them into parties is a great way to foster communication and interaction in this big world, so it's a great idea for a starter boss. Even better than that though is its design, with hair/fur on the head and the tail.

Like me, Sunraku didn't really think it anything important, but we find out that the python can spew poison from its tail. Immediately, the pieces fall into place, it's a little hint/giveaway at the fact that the tail is also a weapon/danger. Very very neat detail.

Some more boss details! While it's not officially stated, while Sunraku is stacking crits on the Python, it looks like it's potentially being staggered? That is, being hit with a critical temporarily stuns/staggers an enemy which provides an additional opening. Of course, being able to stack crits means that the stagger would be overpowered, so the python recovers rather quickly.

After the python dies we finally make our way to the first (though really second) town of the series, where we get some time with different players before seeing Sunraku. Not anything crazy, but the fact that they're telling us about what denotes a PKer is pretty interesting. What they don't say though is if there's any debuffs or real purpose to killing players, and where you can do it. They're only just outside the town so there's most likely not a safe area, but is it possible for them to fight in the town? Just some random thoughts I got from the episode.

So, Sunraku's in the second town now, and because he's died and has a skill penalty, he's decided to do some shopping. Really plain and simple idea, but they show off the armor he purchases as being from Mud Frog's, which are a rather simple/passive mob with a gimmick in the area. Really great idea for starter items, since they're easy to farm and only provide specific/simple defenses. Also, Mud Frog's another monster name from FFXII (though it doesn't bare any resemblance). Starting to think that the author might have a favorite game.

And this is where things start to get interesting with the world. When the NPC blacksmith says that nighttime's dangerous, they mean it. I love this idea and how they execute on it, starting with a Redcap Goblin. It might not have the iron greaves that typically denote a Redcap (though Overlord's do have them), it's still undeniably inspired by the D&D monster.

Even more interesting is the approach. It wears more complicated clothing than the beginner Goblin, sporting a necklace even as decoration. Further, it has a proper metal axe, a weapon even nicer than the blades of the Vorpal Bunnies in terms of quality.

The icing on the cake though is its intelligence. It's got a fighting style that can resemble the reckless abandon of the original goblin, but has far more refinement and a much more intense attack pattern, featuring things like even throwing their axe.

One step above that is how they treat the creatures of the night. This thing is clearly intelligent as it summons allies to its side. Like Sunraku says, this is typically a weak monster's trait, but when applied to a high level one makes them even more dangerous, essentially enforcing a time limit on the fight for viability. Really really cool stuff that doesn't just use overpowered monsters to make the night difficult. It ups the intelligence of them in several ways, arguably the most notable being the fact that these monsters roam at night when there's less people (making it safer for the monsters). Really really cool ideas.

Anyways, the episode itself is really really impressive in a lot of ways like I said before. The humor hits well and is balanced with the game talk and interaction, the story builds slowly and surely about the norms in regards to partying up and interaction (which is something Sunraku doesn't get in their experience with other games), the action is impeccably paced and the choreography is truly impressive, and the camera work is just insane, the tricks and ideas they implement in its movement are really really great. C2C is standing tall on all fronts with Shangri-La Frontier, poised to make it a remarkable and memorable experience.

[shemsuji432]

Exploring Python - A Perfect Easy Language Choice for Beginners

Python is a popular programming language, and it's particularly known for being easy to grasp. But why is Python a common recommendation, especially for people who are new to programming?

1. Language That Reads Like English:

Python stands out because when you read Python code, it looks a lot like the English language. It doesn't use complex symbols or strange commands. Instead, Python uses words and phrases that you're already familiar with.

2. Emphasis on Easy Reading:

Python places a strong emphasis on making code easy to read. This means that not only is your code easy for you to understand, but it's also simple for others who might work on your code. This focus on readability is like having a friendly guide that helps everyone who deals with the code.

3. Plenty of Learning Help:

Starting something new can often be intimidating, but Python makes the learning process more accessible. There's a wealth of resources available to help you learn Python. These resources include official documentation, tutorials, online courses, and forums. It's like having guidebooks, teachers, and fellow learners who are ready to assist you. Python's vast learning support network ensures you're never alone on your learning journey.

4. Super Flexible:

Python is an incredibly versatile programming language used in various domains. It's employed in web development, data analysis, artificial intelligence, and more. Learning Python opens doors to a wide range of career opportunities, just like a master key unlocks many doors.

5. A Library of Shortcuts:

Python boasts an extensive standard library that includes pre-written code for various common tasks. This is like having a collection of shortcuts to simplify everyday coding tasks. These pre-written pieces of code can save you a great deal of time and effort when you're building applications.

6. A Crowd of Friends:

Python has a vast and active community of developers. These Python enthusiasts hang out online, answering questions, sharing tips, and making sure you're never stranded for too long when you encounter programming challenges. It's like being part of a giant, friendly classroom where help is always at hand.

7. Costs You Nothing:

Learning Python doesn't come with a price tag. Python is open-source, which means it's entirely free to use. You can download and install Python on your computer without spending any money, similar to finding a cool toy without having to make a purchase.

8. Tools Made for Newbies:

Python also offers beginner-friendly integrated development environments (IDEs) like IDLE and user-friendly code editors like Visual Studio Code. These tools are designed to make the coding process simpler and less intimidating for beginners, much like having training wheels on your first bicycle.

9. Learning by Doing:

Python strongly encourages hands-on learning. It's similar to learning to cook by actually cooking. With Python, you can start writing and executing code right away, gaining practical experience that accelerates your progress.

10. The Power of Practice:

While Python's simplicity is a significant advantage for beginners, mastering any programming language still requires practice. It's comparable to learning to play a musical instrument. You might hit a few wrong notes at first, but with practice, you'll play beautiful music.

In summary, Python is not tough to learn, especially for beginners. Its user-friendly syntax, readability, extensive resources, and supportive community make it an excellent choice for those starting their programming journey. Remember, with dedication and practice, you can master Python and open doors to a world of coding possibilities.

If you're eager to start your Python learning journey, consider exploring the Python courses and certifications offered by ACTE Technologies. Their expert instructors and comprehensive curriculum can provide you with the guidance and knowledge you need to become proficient in Python.

[izicodes]

hey question!

im currently a data analytics major in uni and currently learning python! i’m currently doing well grasping the concepts with the reading and writing it down. however, i know its better to learn to code by actually..writing code.

I read that I should follow a random code (like a snake game or something) and then copy it and write it code for code but then change some things up etc (i hope that makes sense how im asking this)

is there any websites that show an actual code and then I can just copy and follow that to learn? or how should I go about learning to actually write code and not get stuck in “tutorial hell” ?

thank you!! sorry if this is a lot :)

Hiya!

When I was learning back 3 years ago, I did more the "watching videos + replicate the code" method to learning how to plan, build and deploy projects, even with the very beginner project videos! I didn't do much searching online for projects in maybe articles, blog posts, etc and replicate it. However, that was because I learn more in seeing than reading - that's why I'm bad at reading documentation(!) (I would search for video explainations to the documentations...).

I know on my blog I promote "don't idly watch tutorial videos all the time and actually start coding" kind of mindset but I'm not completely disregarding the benefits of watching such tutoiral videos. Seeing how other people's approach to a project idea is great! One project idea, hundreds of approaches to it!

: ̗̀➛ Tips:

Take notes while following tutorials. Write down what you learn and how you solve problems in your project. This will solidify your understanding and serve as a reference later.

Once you grasp the basics from a tutorial, experiment within your version of the project. Try modifying the code, adding features, and see what happens. This is where the real learning happens. LITERALLY HOW I LEARNED.

: ̗̀➛ Best places I can think of from the top of my head is to find projects on GitHub and maybe Dev.To by searching the project idea and someone must of done it or something similar and uploaded the project/talked about it in a blog post!

[is-the-snake-video-cute]

do you have any tips for a beginner raising a baby snake?

Sure! These are tips that work for pretty much all baby snakes. :)

Keep handling sessions short and calm to start off with. Baby snakes are often much more nervous than adults (they're babies! Everything is scary and new!), so need extra patience. Don't be alarmed if your baby snake is flighty or squirmy. Stay calm and show them lots of patience! About five-minute-long sessions are a good rule, and be sure to end on a high note!

Help your baby's enclosure feel calm. Make sure they have lots of hides, and draping a blanket over the enclosure can help keep it calm and dark inside.

Baby snakes benefit from a lot of clutter in their enclosures. It helps their space feel less exposed. If you run out of things to put inside, crumpled up balls of paper towel are good for filling the space.

Sometimes, you'll need to take things slow when you're moving your snake up to bigger food items. Some babies feel intimidated by larger prey items, and that's okay! There's nothing wrong with keeping your snake on smaller prey until they feel ready to move up. I see this a lot with young ball pythons especially.

Snakes do have teenager phases! As they're growing, they can have periods of irritibility, where they'll suddenly be a little hissy or unusually defensive. Especially hognoses - every hognose I've ever known had a sassy teenager phase. Keep an eye on them to make sure they calm down and aren't showing signs of illness, but know that these phases do pass!

Take things at your snake's pace! They might seem like they're being slow to feel comfortable with you, but just be patient and calm with them. Try to understand how scary the world can be from their perspective - baby snakes are so little! One day, you'll go to take them out and realize they react to you with nothing but curiousity and alert enagement, and you'll wonder why you were ever worried!

Good luck! It's so much fun to raise a snake from a baby because you really get to grow and learn so much together. :)

[techvibehub]

Open Source Tools for Data Science: A Beginner’s Toolkit

Data science is a powerful tool used by companies and organizations to make smart decisions, improve operations, and discover new opportunities. As more people realize the potential of data science, the need for easy-to-use and affordable tools has grown. Thankfully, the open-source community provides many resources that are both powerful and free. In this blog post, we will explore a beginner-friendly toolkit of open-source tools that are perfect for getting started in data science.

Why Use Open Source Tools for Data Science?

Before we dive into the tools, it’s helpful to understand why using open-source software for data science is a good idea:

1. Cost-Effective: Open-source tools are free, making them ideal for students, startups, and anyone on a tight budget.

2. Community Support: These tools often have strong communities where people share knowledge, help solve problems, and contribute to improving the tools.

3. Flexible and Customizable: You can change and adapt open-source tools to fit your needs, which is very useful in data science, where every project is different.

4. Transparent: Since the code is open for anyone to see, you can understand exactly how the tools work, which builds trust.

Essential Open Source Tools for Data Science Beginners

Let’s explore some of the most popular and easy-to-use open-source tools that cover every step in the data science process.

 1. Python

The most often used programming language for data science is Python. It's highly adaptable and simple to learn.

Why Python?

  - Simple to Read: Python’s syntax is straightforward, making it a great choice for beginners.

  - Many Libraries: Python has a lot of libraries specifically designed for data science tasks, from working with data to building machine learning models.

  - Large Community: Python’s community is huge, meaning there are lots of tutorials, forums, and resources to help you learn.

Key Libraries for Data Science:

  - NumPy: Handles numerical calculations and array data.

  - Pandas: Helps you organize and analyze data, especially in tables.

  - Matplotlib and Seaborn: Used to create graphs and charts to visualize data.

  - Scikit-learn: A powerful tool for machine learning, offering easy-to-use tools for data analysis.

 2. Jupyter Notebook

Jupyter Notebook is a web application where you can write and run code, see the results, and add notes—all in one place.

Why Jupyter Notebook?

  - Interactive Coding: You can write and test code in small chunks, making it easier to learn and troubleshoot.

  - Great for Documentation: You can write explanations alongside your code, which helps keep your work organized.

  - Built-In Visualization: Jupyter works well with visualization libraries like Matplotlib, so you can see your data in graphs right in your notebook.

 3. R Programming Language

R is another popular language in data science, especially known for its strength in statistical analysis and data visualization.

Why R?

  - Strong in Statistics: R is built specifically for statistical analysis, making it very powerful in this area.

  - Excellent Visualization: R has great tools for making beautiful, detailed graphs.

  - Lots of Packages: CRAN, R’s package repository, has thousands of packages that extend R’s capabilities.

Key Packages for Data Science:

  - ggplot2: Creates high-quality graphs and charts.

  - dplyr: Helps manipulate and clean data.

  - caret: Simplifies the process of building predictive models.

 4. TensorFlow and Keras

TensorFlow is a library developed by Google for numerical calculations and machine learning. Keras is a simpler interface that runs on top of TensorFlow, making it easier to build neural networks.

Why TensorFlow and Keras?

  - Deep Learning: TensorFlow is excellent for deep learning, a type of machine learning that mimics the human brain.

  - Flexible: TensorFlow is highly flexible, allowing for complex tasks.

  - User-Friendly with Keras: Keras makes it easier for beginners to get started with TensorFlow by simplifying the process of building models.

 5. Apache Spark

Apache Spark is an engine used for processing large amounts of data quickly. It’s great for big data projects.

Why Apache Spark?

  - Speed: Spark processes data in memory, making it much faster than traditional tools.

  - Handles Big Data: Spark can work with large datasets, making it a good choice for big data projects.

  - Supports Multiple Languages: You can use Spark with Python, R, Scala, and more.

 6. Git and GitHub

Git is a version control system that tracks changes to your code, while GitHub is a platform for hosting and sharing Git repositories.

Why Git and GitHub?

  - Teamwork: GitHub makes it easy to work with others on the same project.

  - Track Changes: Git keeps track of every change you make to your code, so you can always go back to an earlier version if needed.

  - Organize Projects: GitHub offers tools for managing and documenting your work.

 7. KNIME

KNIME (Konstanz Information Miner) is a data analytics platform that lets you create visual workflows for data science without writing code.

Why KNIME?

  - Easy to Use: KNIME’s drag-and-drop interface is great for beginners who want to perform complex tasks without coding.

  - Flexible: KNIME works with many other tools and languages, including Python, R, and Java.

  - Good for Visualization: KNIME offers many options for visualizing your data.

 8. OpenRefine

OpenRefine (formerly Google Refine) is a tool for cleaning and organizing messy data.

Why OpenRefine?

  - Data Cleaning: OpenRefine is great for fixing and organizing large datasets, which is a crucial step in data science.

  - Simple Interface: You can clean data using an easy-to-understand interface without writing complex code.

  - Track Changes: You can see all the changes you’ve made to your data, making it easy to reproduce your results.

 9. Orange

Orange is a tool for data visualization and analysis that’s easy to use, even for beginners.

Why Orange?

  - Visual Programming: Orange lets you perform data analysis tasks through a visual interface, no coding required.

  - Data Mining: It offers powerful tools for digging deeper into your data, including machine learning algorithms.

  - Interactive Exploration: Orange’s tools make it easier to explore and present your data interactively.

 10. D3.js

D3.js (Data-Driven Documents) is a JavaScript library used to create dynamic, interactive data visualizations on websites.

Why D3.js?

  - Highly Customizable: D3.js allows for custom-made visualizations that can be tailored to your needs.

  - Interactive: You can create charts and graphs that users can interact with, making data more engaging.

  - Web Integration: D3.js works well with web technologies, making it ideal for creating data visualizations for websites.

How to Get Started with These Tools

Starting out in data science can feel overwhelming with so many tools to choose from. Here’s a simple guide to help you begin:

1. Begin with Python and Jupyter Notebook: These are essential tools in data science. Start by learning Python basics and practice writing and running code in Jupyter Notebook.

2. Learn Data Visualization: Once you're comfortable with Python, try creating charts and graphs using Matplotlib, Seaborn, or R’s ggplot2. Visualizing data is key to understanding it.

3. Master Version Control with Git: As your projects become more complex, using version control will help you keep track of changes. Learn Git basics and use GitHub to save your work.

4. Explore Machine Learning: Tools like Scikit-learn, TensorFlow, and Keras are great for beginners interested in machine learning. Start with simple models and build up to more complex ones.

5. Clean and Organize Data: Use Pandas and OpenRefine to tidy up your data. Data preparation is a vital step that can greatly affect your results.

6. Try Big Data with Apache Spark: If you’re working with large datasets, learn how to use Apache Spark. It’s a powerful tool for processing big data.

7. Create Interactive Visualizations: If you’re interested in web development or interactive data displays, explore D3.js. It’s a fantastic tool for making custom data visualizations for websites.

Conclusion

Data science offers a wide range of open-source tools that can help you at every step of your data journey. Whether you're just starting out or looking to deepen your skills, these tools provide everything you need to succeed in data science. By starting with the basics and gradually exploring more advanced tools, you can build a strong foundation in data science and unlock the power of your data.

[eagletflysolutions]

Certified Data Science Course

Data Science is marking its graph on a high note by expanding its width in creating great career opportunities currently. It is one of the most happening fields in business today. We offer the Data Science Training program on wide range of aspects. The certifications are accredited which is a global certification. The course is designed for both beginners and professionals) to enhance their skill basket and achieve their career goals. The course includes different key branches that would hold data science tight together, such as, Certified Data Science course, Statistics for Data Science course, Python for Data Science course, Data Scientist with R course and Diploma in Data Science. The mentioned courses’ details can be looked into on their respective tabs - data science and data analytics course.

This program is specifically designed for managers who want to gain insights into the tools and techniques used in Data Science. It covers topics such as Data Science Foundation, Statistics for Data Science, Building and Optimizing Models, Predictive Analysis and Regression, Decision Making, Visual Analytics, and Tableau.

We provide monthly Data Science Courses with both Data Science Online Training and Data Science Classroom Training that would be imparted within a three-phase learning method. We provide monthly Data Science Courses with both Data Science Online Training and Data Science Classroom Training that would be imparted within a three-phase learning method. We offer a diverse range of courses in Data Science to cater to different skill levels and interests - data science course for beginners.

The course is tailored to provide the perfect starting point. It delves into the fundamentals of Data Science while also shedding light on the distinctions between Data Science, Business Analytics, and Big Data. Gain a comprehensive understanding of different classifications of Business Analytics, explore the workflow of Data Science projects, familiarize yourself with various roles in the field, and uncover the practical applications of Data Science across industries. For more information, please visit our site https://eagletflysolutions.com/