#how to learn python language

[gingermintpepper]

There are many things people expect from one called 'God of Blood'. Always, the first thought is the blood of war, the blood of violence, the blood of the weak shed for the goals of the strong. Ares doesn't think of the blood of battle at all. When he thinks of blood, he envisions the many tied knots of blood bonds and bonds forged in the blood of battle. Blood sons and blood daughters, blood brothers and battle sisters, blood oaths and blood vengeance - he watches over them all and keeps close each one of these bonds.

One cannot begrudge his displeasure then when he realises he cannot tell Leto's offspring apart just by looking at them.

It was easier when it was just Artemis. Dark hair curled about her shoulders, a fierce mien whenever Father summons her to the mountain, a scattering of bones and blood shed whenever she was disturbed; the eldest child of Leto was a wild thing, sharp toothed with sharper claws always at the ready. There's whispers of her being a twin, of her other half being made to crawl on their belly as penance for their sin of god-slaying but Ares pays it little mind. What twins look alike among their number? Even dog litters are born distinct with all their unique markings inlaid in their fur. Artemis' twin too would be much more than their sister's mirror image.

Pouring over his list now, he wishes anything about Phoebus Apollo was that simple.

Mirror image did not begin to describe it. The twins were the same height, the same build, had the same colour and texture hair, ate the same raw food and drank the same amount of nectar. There was no difference in how they dressed, no difference in the company they kept, no variance in the weapons they used. There are some days Ares still cannot believe Phoebus will grow into a man and not some nymph with the way his ears have that slender point. He watches them now, sitting together beneath a shady palm and stringing their bows in an uncanny unison and curses because he still cannot tell them apart. What use is his skill in knowing blood when they both have the same damn blood running through their veins? What bond is there to sense when they are tied so tightly together, Ares can scarcely tell brother from sister?

He sighs. Unadorned and completely alone, the only way to know who is who is to speak to them. He'll have to find more ways to tell them apart from a distance. Surely they cannot stay this similar all the rest of their immortal lives.

[education43]

What Are the Qualifications for a Data Scientist?

In today's data-driven world, the role of a data scientist has become one of the most coveted career paths. With businesses relying on data for decision-making, understanding customer behavior, and improving products, the demand for skilled professionals who can analyze, interpret, and extract value from data is at an all-time high. If you're wondering what qualifications are needed to become a successful data scientist, how DataCouncil can help you get there, and why a data science course in Pune is a great option, this blog has the answers.

The Key Qualifications for a Data Scientist

To succeed as a data scientist, a mix of technical skills, education, and hands-on experience is essential. Here are the core qualifications required:

1. Educational Background

A strong foundation in mathematics, statistics, or computer science is typically expected. Most data scientists hold at least a bachelor’s degree in one of these fields, with many pursuing higher education such as a master's or a Ph.D. A data science course in Pune with DataCouncil can bridge this gap, offering the academic and practical knowledge required for a strong start in the industry.

2. Proficiency in Programming Languages

Programming is at the heart of data science. You need to be comfortable with languages like Python, R, and SQL, which are widely used for data analysis, machine learning, and database management. A comprehensive data science course in Pune will teach these programming skills from scratch, ensuring you become proficient in coding for data science tasks.

3. Understanding of Machine Learning

Data scientists must have a solid grasp of machine learning techniques and algorithms such as regression, clustering, and decision trees. By enrolling in a DataCouncil course, you'll learn how to implement machine learning models to analyze data and make predictions, an essential qualification for landing a data science job.

4. Data Wrangling Skills

Raw data is often messy and unstructured, and a good data scientist needs to be adept at cleaning and processing data before it can be analyzed. DataCouncil's data science course in Pune includes practical training in tools like Pandas and Numpy for effective data wrangling, helping you develop a strong skill set in this critical area.

5. Statistical Knowledge

Statistical analysis forms the backbone of data science. Knowledge of probability, hypothesis testing, and statistical modeling allows data scientists to draw meaningful insights from data. A structured data science course in Pune offers the theoretical and practical aspects of statistics required to excel.

6. Communication and Data Visualization Skills

Being able to explain your findings in a clear and concise manner is crucial. Data scientists often need to communicate with non-technical stakeholders, making tools like Tableau, Power BI, and Matplotlib essential for creating insightful visualizations. DataCouncil’s data science course in Pune includes modules on data visualization, which can help you present data in a way that’s easy to understand.

7. Domain Knowledge

Apart from technical skills, understanding the industry you work in is a major asset. Whether it’s healthcare, finance, or e-commerce, knowing how data applies within your industry will set you apart from the competition. DataCouncil's data science course in Pune is designed to offer case studies from multiple industries, helping students gain domain-specific insights.

Why Choose DataCouncil for a Data Science Course in Pune?

If you're looking to build a successful career as a data scientist, enrolling in a data science course in Pune with DataCouncil can be your first step toward reaching your goals. Here’s why DataCouncil is the ideal choice:

Comprehensive Curriculum: The course covers everything from the basics of data science to advanced machine learning techniques.

Hands-On Projects: You'll work on real-world projects that mimic the challenges faced by data scientists in various industries.

Experienced Faculty: Learn from industry professionals who have years of experience in data science and analytics.

100% Placement Support: DataCouncil provides job assistance to help you land a data science job in Pune or anywhere else, making it a great investment in your future.

Flexible Learning Options: With both weekday and weekend batches, DataCouncil ensures that you can learn at your own pace without compromising your current commitments.

Conclusion

Becoming a data scientist requires a combination of technical expertise, analytical skills, and industry knowledge. By enrolling in a data science course in Pune with DataCouncil, you can gain all the qualifications you need to thrive in this exciting field. Whether you're a fresher looking to start your career or a professional wanting to upskill, this course will equip you with the knowledge, skills, and practical experience to succeed as a data scientist.

Explore DataCouncil’s offerings today and take the first step toward unlocking a rewarding career in data science! Looking for the best data science course in Pune? DataCouncil offers comprehensive data science classes in Pune, designed to equip you with the skills to excel in this booming field. Our data science course in Pune covers everything from data analysis to machine learning, with competitive data science course fees in Pune. We provide job-oriented programs, making us the best institute for data science in Pune with placement support. Explore online data science training in Pune and take your career to new heights!

[crescentmp3]

hello! i am not in the harvard course, i was taking a programming class with a local college

ohh that's awesome!! ^^ i asked because the harvard course im taking starts at just about the same place and i've been very into coding recently.

[sidewalk-scrawls]

Fellow game devs who are fleeing Unity, what are your thoughts on Godot vs Unreal for making 2D games? I know Unreal is pretty over-powered for most 2D development, but given I'm used to Unity, how is Godot feature-wise? Are there any features it's noticeably lacking?

[thewelllitweenie]

We'll work it out together

If you have no other option, you will succeed.

[stardecrossed]

>> Also does anyone have a muse interest tracker that doesn't involve Google, Microsoft or AI services?

[the-today-man]

Brain Training for Kids: How to Turn Your Child Into a Mini Einstein

By: Tyler West Facebook Twitter Instagram Pinterest Twitter Early childhood development is crucial for laying the foundation for a child’s future success. The first few years of life are marked by rapid brain growth, with about 90% of a child’s brain developed by age six. This period is not only about physical growth but also encompasses cognitive, emotional, and social development.…

[technicalmanoj]

Python: A Beginner's Best Friend

Python, often praised as the "programming language for everyone," has established itself as a welcoming entry point for beginners venturing into the world of coding. This article delves into why Python is considered easy for beginners and outlines the steps to learn Python development effectively.

Python: A Beginner's Best Friend

Readable and Simple Syntax: Python's primary allure for beginners is its clean and readable syntax. Unlike some programming languages with complex and cryptic code, Python's structure resembles the English language, making it easy for new programmers to understand and write code. The simple syntax eliminates the need for excessive punctuation and curly braces, resulting in concise and easy-to-follow scripts.

Comprehensive Documentation: Python offers a wealth of official documentation and tutorials. The Python community is renowned for its friendliness and willingness to help newcomers, and this extensive documentation serves as a valuable resource for learning and troubleshooting. Whether you're a beginner or an experienced developer, Python's extensive resources are a significant advantage.

Large and Supportive Community: Python's global community is a treasure trove of support for beginners. Online forums, social media groups, and local meetups provide ample opportunities to connect with fellow Python enthusiasts, share knowledge, and seek help. This vibrant community ensures that beginners never feel alone in their coding journey.

Versatile and Cross-Platform: Python's versatility is a significant asset for beginners. It can be used for a wide range of applications, from web development and data analysis to artificial intelligence and scientific computing. The ability to explore different domains allows beginners to find their niche in the programming world.

Immediate Gratification: Python's interpreted nature allows beginners to see the immediate results of their code without the need for complex compilation steps. This instant feedback helps learners understand their mistakes and progress quickly.

How to Learn Python Development

If you're a beginner eager to start your Python journey, here are some steps to effectively learn Python development:

Choose Your Learning Path: Decide on your primary motivation for learning Python. Do you want to become a web developer, data scientist, or automate repetitive tasks? Understanding your goals will guide your learning path.

Set Up Your Development Environment: Install Python on your computer. You can use Python's official website (python.org) or popular Python distributions like Anaconda. You'll also need a code editor or integrated development environment (IDE) to write and run Python code. Editors like Visual Studio Code and PyCharm are excellent choices.

Start with the Basics: Begin with the fundamentals, such as variables, data types, loops, and conditional statements. Online tutorials, courses, and textbooks are valuable resources for learning these basics.

Work on Projects: Hands-on practice is essential. Start small by working on simple projects that interest you, such as building a to-do list app, a basic website, or a data analysis task. Projects not only reinforce your knowledge but also provide you with a portfolio to showcase your skills.

Learn from Others: Join coding communities and online forums to learn from others. Participate in open-source projects or collaborate with peers on coding challenges.

Seek Specialized Knowledge: As you progress, explore specialized areas of Python development, such as web development (using frameworks like Django or Flask), data analysis (utilizing libraries like NumPy and Pandas), or machine learning (using libraries like TensorFlow or PyTorch).

Stay Consistent: Consistency is key. Allocate dedicated time to practice and learn Python regularly. Set achievable goals and milestones to track your progress.

[utopicwork]

Trying this again:

I'll do programming odd jobs for cheap. $10/hour. You'll be given an estimate of how long it'll take to complete upfront.

Languages I can program in without prep:

Python

Java

Javascript

CSS

HTML

Lua

C++

C#

Rust

Ruby

Processing

Languages I know just a bit of but could learn more easily

R

Matlab

C

PHP

I can pick up other languages for $100/language

I can also do light remote sysadmin, so like setting up a Mastodon instance, setting up an nginx server for web hosting, stuff like that

Email: me@agie.gay

Samples of my work below

[not-terezi-pyrope]

AI continues to be useful, annoying everyone

Okay, look - as much as I've been fairly on the side of "this is actually a pretty incredible technology that does have lots of actual practical uses if used correctly and with knowledge of its shortfalls" throughout the ongoing "AI era", I must admit - I don't use it as a tool too much myself.

I am all too aware of how small errors can slip in here and there, even in output that seems above the level, and, perhaps more importantly, I still have a bit of that personal pride in being able to do things myself! I like the feeling that I have learned a skill, done research on how to do a thing and then deployed that knowledge to get the result I want. It's the bread and butter of working in tech, after all.

But here's the thing, once you move beyond beginner level Python courses and well-documented windows applications. There will often be times when you will want to achieve a very particular thing, which involves working with a specialist application. This will usually be an application written for domain experts of this specialization, and so it will not be user-friendly, and it will certainly not be "outsider-friendly".

So you will download the application. Maybe it's on the command line, has some light scripting involved in a language you've never used, or just has a byzantine shorthand command structure. There is a reference document - thankfully the authors are not that insane - but there are very few examples, and none doing exactly what you want. In order to do the useful thing you want to do, they expect you to understand how the application/platform/scripting language works, to the extent that you can apply it in a novel context.

Which is all fine and well, and normally I would not recommend anybody use a tool at length unless they have taken the time to understand it to the degree at which they know what they are doing. Except I do not wish to use the tool at length, I wish to do one, singular operation, as part of a larger project, and then never touch it again. It is unfortunately not worth my time for me to sink a few hours into learning a technology that you will use once for twenty seconds and then never again.

So you spend time scouring the specialist forums, pulling up a few syntax examples you find randomly of their code and trying to string together the example commands in the docs. If you're lucky, and the syntax has enough in common with something you're familiar with, you should be able to bodge together something that works in 15-20 minutes.

But if you're not lucky, the next step would have been signing up to that forum, or making a post on that subreddit, creating a thread called "Hey, newbie here, needing help with..." and then waiting 24-48 hours to hear back from somebody probably some years-deep veteran looking down on you with scorn for not having put in the effort to learn their Thing, setting aside the fact that you have no reason to normally. It's annoying, disruptive, and takes time.

Now I can ask ChatGPT, and it will have ingested all those docs, all those forums, and it will give you a correct answer in 20 seconds about what you were doing wrong. Because friends, this is where a powerful attention model excels, because you are not asking it to manage a complex system, but to collate complex sources into a simple synthesis. The LLM has already trained in this inference, and it can reproduce it in the blink of an eye, and then deliver information about this inference in the form of a user dialog.

When people say that AI is the future of tutoring, this is what it means. Instead of waiting days to get a reply from a bored human expert, the machine knowledge blender has already got it ready to retrieve via a natural language query, with all the followup Q&A to expand your own knowledge you could desire. And the great thing about applying this to code or scripting syntax is that you can immediately verify whether the output is correct but running it and seeing if it performs as expected, so a lot of the danger is reduced (not that any modern mainstream attention model is likely to make a mistake on something as simple a single line command unless it's something barely documented online, that is).

It's incredibly useful, and it outdoes the capacity of any individual human researcher, as well as the latency of existing human experts. That's something you can't argue we've ever had better before, in any context, and it's something you can actively make use of today. And I will, because it's too good not to - despite my pride.

[foone]

Should I learn to make games with Löve or godot?

Disclaimer: I'm not super familiar with either, but I have done a couple days work in each

Probably Godot if you know programming already. Godot kinda drops you in GDScript and doesn't really explain how it works.

If you don't know how to program yet*, Love2d** might be easier to get started with, since you can just learn Lua, which is a very simple and easy language to learn. GDScript is basically Python, which is a little harder to learn. (not too much, it's also a very simple programming language... But compared to Lua, which is specifically designed to be easy to teach kids & non-programmers?).

This answer might change as the Godot documents and tutorial-landscape changes. It just feels like it'd currently be a bit of roadblock learning GDScript as your first programming language.

* my brain has so much trouble with the idea that "never learns to program" is a class of human that exists. I can't imagine. I imagine that seems pretty weird if you're not a programmer.

** as a person with a serious case of unicode perfectionism, it pains me that my current mobile keyboard can't type the ö***.

*** o with umlat or o with diaeresis? I think the answer is diaeresis, because Swedish.

[flameshadowconjuring]

Physics is to math as Python is to Haskell.

In physics, everything is typed dynamically. Sure, the codomain, i.e. the units of a function or quantity is usually static, but the domain, i.e. the dependent variable are whatever they need to be.

Meanwhile in math, we specify what our objects are. They are statically typed. Even if I have no clue what a Haskell function does, I can at least look at its type signature to get a rough idea.

I wish physics were statically typed with explicit type annotations because it is driving me up a wall that, for instance, both the force between two points and the net force of a single point are referred as 'the force'. They have different type signatures!

That, and energy. 'Energy' is not conserved. The total energy of an isolated system is, but the energy at a point given by the potential energy field can of course change. This ambiguous use of language makes it really difficult for idiots like me to learn physics. I am not good with wishy-washyness. If you input ambiguous language into my brain, I can regurgitate grammatical connections between vocabulary words (you know, the stuff even an LLM can do), but you can't expect genuine insight from me. For that, I need clear, bright lines. How can you have theorems if you don't spell out your assumptions!

[deadtwinksdetectiveagency]

I have been inspired by all the other wonderful minds doing gender swaps, so here is Charles with my take on f!Charles aka Charlotte. Close-up and headcanons under the cut!

My thoughts on Charlotte/this art:

still a punk, still the brawn

took dance classes until age 11

still called 'Charlie' - spelled Charley in her case - by her "friends" at school

didn't play cricket at school—her dad didn't think girls weren't should play it—but she did play it with other neighborhood kids during summers

more of a movie buff than Charles, with a preference for action movies (see: the nunchucks)

spent more time learning "women's work" like cooking, sewing, etc from her mom (she's passable at sewing on buttons or fixing a ripped seam) (unlike Charles, who really misses food, what Charlotte misses more is the cooking)

still got abused by her dad, but was not beaten as viscerally (more slaps than punches, never pushed down the stairs)

at 11, spent sixteen extremely harrowing days in a youth psychiatric ward for "behavioral difficulties" after a series of tantrums at home, at which point she was pulled from most of her extracurriculars (including dance)

because of extra time spent with her mom, speaks more of her mother's native language than Charles

somehow, and no I don't know how, she saw Monty Python and the Holy Grail (see: the holy hand grenade)

[nixcraft]

The Union of Software Developers

Alright, alright, settle down everyone! So, the software developers are trying to unionize, right? But first, they're stuck in this endless meeting.

"Okay, so for our official documents, are we going with Python?"

"Python? Are you kidding? It's dynamically typed! We need the rigor of Java!"

"Java? That's so verbose! We should use Rust, for its memory safety!"

"Rust? What about the learning curve? Let's keep it simple with JavaScript!"

"JavaScript? That's... well, JavaScript. We need something functional, like Haskell!"

"Haskell? You want to write a union contract in a purely functional language? Good luck with that! How about C++?"

"C++? Are you trying to make this negotiation take longer?"

A lone voice from the back: "Anyone considered... COBOL?"

The room erupts in chaos.

"Okay, okay, how about we just write it in pseudocode?"

Another voice: "But... which pseudocode standard?"

[lord-kyle-yann]

My thoughts on Animation Vs. Coding

Spoiler under the cut

I LOVE it !

I like how it shows the different uses of coding with the uses of different libraries. I also like how it's in Python, the most used programming language. And how it can be used to do incredibly complex things at the end of the episode.

However I do think this is the weakest of the Animation Vs Education episode we got so far.

The first reason for this is the time. It's only 8:28 minutes, it's litteraly shorter than Animation VS Geometry ! Now don't get me wrong I don't think the longer is the better, far from it. But with a topic as vast as coding is, I think it's kinda sad we didn't get more.

The second reason is because of the narrative structure of the episode : It's Animation Vs Math, but worse.

Let me explain : Act 1 Yellow/Orange explore their new environnement while learning the base knowledge they'll need in this new world. Act 2 an inhabitant of this world interrupts them and a fight ensue, while fighting they learn more and more complex knowledge but still quite simple. Act 3 They're now fighting with really complicated concepts and in their conflict, they'll end up destroying the world with a nuke/a big laser. And in act 4 they discover they've gone too far and become friends with the episodes antagonist.

Of course there's difference, but essentially it's basically the same

With near half the time AvMath had, this episode is really fast. There's no pause between the fight to let Yellow truly learn the intermediate knowledge. Why is Yellow capable of what they're doing in the end ? When did they learned how a function or a class worked ? The computer (we need a name for this lil guy) was the one coding all the time when Yellow was just Interrupting it or doing minor adjustements. How did Yellow went from playing with a print and two variables to doing a whole neural network ? ("but you see there's a time lapse between when they started and finished the neural network, they learned during that time" No they didn't, they immediatly started like they knew exactly what to do and not experimenting. Yellow didn't learn there, they already knew)

And with these two reasons combined, I think that's why Animation Vs Coding feels less mastered than the previous AvE episodes.

I still love this episode as someone who loves coding, but with previous episodes being such bangers it's normal that this one was gonna have some flaws. As I said, coding is a big of a topic to choose, so of course things would've been missing and all.

Plus the music is cool (It's from the same guy who made AvGeometry's. What a banger)

[solus-official]

PROGRAMMING QUESTION

hey i got a question about programming languages that i feel like is a very stupid question but i wanna ask it anyway is there a reason besides "easier to learn/more classes available/ect" that most consumer programs/devices/games tend to be written in JS, Python or likewise? Like, I don't know what the actual amounts are for how many things are programmed in what languages, I just feel like most things are programmed in "The Popular Langauges" I feel like I never see a software or device or anything that's just programmed in C (or children) and I've definitely not seen something programmed in Rust in a very long time Maybe i'm just dumb and I don't know how things outside my very limited perspective get coded and I just need a reality check but theoretically nothing is stopping a big company from programming their next touch-screen control panel thing in C, right?