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liliths-missing-pen · 1 year

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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

#🐉 | lilith’s writing’s #idia shroud #twst idia #idia headcanons #idia x yuu #idia x y/n #idia fluff #twisted wonderland idia #idia x reader #idia hcs #idia drabble #idia #disney twisted wonderland #twisted wonderland

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datascienceunicorn · 2 years

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#data science #data scientist #data scientists #machine learning #programming #analytics #data analytics #statistics #coding #data analysis #book #books

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xpc-web-dev · 11 months

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Hi! I have just recently deciding to switch careers and leave the vet industry , go into tech. Have spent past 2 years in tech school to become a vet assistant but after being in my field, I always wondered how it would be like to have a career in tech, ive always thought for so long that being in tech comes w Math and science and i suck at both 🤣🤣🤣. so I’m deciding to enroll myself in a completely online program to become an IT tech yet i have always admired hacking and coding so without getting sooo much into it, which leads me to my question:

- what do I have to do to be in the code career?

- do I have to go to boot camp out of my state or should look into going online completely?

- is coding beginner friendly especially as someone who doesn’t have ABSOLUTE NO IDEA about coding?

Please let me know and I love that I have found a community of women jn the tech industry, it’s pretty inspiring which why I want to go into the tech career.

Hi Stone, first of all welcome to our small and growing community.

I'm glad you're giving yourself this chance to try technology and see if it's for you or go back to vet or even go to art(yes I stalked you UEUHEHUEHUE) and I also thank you for finding my opinion relevant.

As you said that you wanted a career and that you are interested in coding and hacking, here you need to choose which one to prioritize. Because whether back-end, front-end, mobile, fullstack or cybersecurity there will be a lot to study, practice, make mistakes and practice again.

Here I give an addendum that if you don't know what these areas mean in technology, I recommend doing a search, reading and watching videos on youtube about it to see what might please you.

So based on what you've told me, again I think the best first step is to know what you want to prioritize and what you want to make money from.

Because trust me, you won't be able to study everything together at the same time. And if you manage to find an hour, there will be a burnout, so take it easy my friend. (from personal experience)

Even more so if you want a job, it's best to focus on 1 and then move on to others. Then find out what might be best for you / what you most identify with.

I also like hacking, I have books and I have already found courses. But this is something I want to study as a hobby and a safety measure (after all, there's no shortage of motherfuckers doing shit with others with that knowledge). So I put it in the background. Because my priority is money and hacking has work, but not in my country.

Now about entering the code career. Despite being a junior/student, I've seen a lot and I've also learned in these 2 years in the technology community in my country and watching you from the outside, so I can have a more mature view to help you with that.

So let's go:

1) - To know what you need to do to enter your career in code, you need to know how the technology market is in your country.

Because with all these layoffs, we have a lot of professionals with experience and academically well qualified and depending on the country, we currently have more demand for professionals than job offers. (Here in Brazil this is happening, because the layoffs in North America reflected here).

And here I don't want to discourage you, I just want to give you a realistic parameter for you to enter the area without illusions and not get frustrated like me and a bunch of people on the internet. (I wish someone had guided me like that). Because what we have most on social media is people making it seem like programming is easy and getting a job is even easier, or that you're going to earn A LOT since you're just a junior and THAT'S NOT THE REALITY..

BUT all the effort pays off in the end.

Within that, here I think it's cool that you try to observe what vacancies in your country ask for juniors/interns.

From Skills like knowing python to asking college or accepting bootcamp. See what's most in demand out there and within that see if you like what's in demand.

I tell you this, because here in Brazil, for example, we currently have more vacancies for internships (and here you need to be enrolled in a college to do an internship) than for juniors without college and only with bootcamps. So if we want a job around here, the first thing is to go to college and not be completely self-taught. So again, research and study your country's technology market.

In my conception TODAY getting a job in programming without college will be 10x more difficult than in 2020 for example, things have changed. The market now is not lacking developers, quite the contrary, now it has hight demands from developers but not for JOBS.

What the market wants most are senior people (and I've seen seniors I know saying that after layoffs even for them it's more willing to get a job, again supply and demand), but there are still opportunities for us beginners, in some countries there are more and in others less.

Speaking in the sense of the United States from what I observed from the US (content producers and twitter) + my experiences here in Brazil.I don't know the current situation of the technology market in Africa, the rest of Latin America , Asia and Europe.

Of course, you can be lucky and succeed without , but I, for one, got tired of believing that I would be lucky and be one of those people who succeed and changed my strategy to get a job.

Or you could also join a job-guaranteed bootcamp. Check how it works and if you have this type in your country.

And here we come to your second question.

2) The answer is it depends.

For example, will this bootcamp in your state guarantee you a job or is it possible to do an internship at a company or will it connect you with companies after the program?Or is he recognized by technology companies in your state?

If so, I would recommend doing it and dedicating yourself to getting in.

Because look, if they guarantee you an job is even better , you'll just have to study and do what they tell you to get your job.

But if you don't guarantee it, but this training has merit/respect in the market, it also pays off.

Here, I wanted to take the opportunity and talk about apprenticeship.

In our community we have our queen @xiacodes @xiabablog (it's the same person), she did an apprenticeship and today she is a junior developer in UK .

She shared her journey on her blog and is also the most engaged and resource sharing person in our community.

Here I would like to say that FOR ME Apprenticeship is one of the smartest strategies today to get into the technology market.

I myself will start on a Monday and it was my solution to get a job in code by the end of the year. (I'll talk about this in another post too)

So I recommend looking for apprenticeship in your country / state and how they work there.

And obviously observe and read the rules of the program to see if there are any catches that put you in absurd debt or contractual fines.

And see if you can handle it if you have the possibility.

Here I give an addendum that if you find an apprenticeship but that you will earn little in the beginning, for you to analyze well before saying no. Because salary we can evolve after we have experience, the important thing for us juniors/students is to get the first experience and the rest later becomes easier. (At least that's what the Mid /seniors I know say)

Now if in your country you don't have this kind of opportunity, I would recommend trying to see if it would be possible to do bootcamp/online courses + college to get an internship.

And you don't even have to start with paid courses, in my opinion if the bootcamp won't guarantee you a job, it's not worth paying for it. We have a lot of free resources on the internt (youtube biggest school) .

But it's up to you.

Free Courses:

-Freecodecamp

-Odin project (And it has both fullstack with ruby and with node.js. )

For me, paying will only pay off when you don't find quality resources for what you want to study. So I would advise you to always think about whether it pays off or not.

Accessible paid courses:

- Codecademy

- Udemy (there are good courses there and there are always promotions)

+++ Here I also wanted to talk about knowing that public colleges (100% free) are not possible in all countries or when they are, they are very elective and difficult to get into for poor people as it is here in Brazil.

But here despite that, studying A LOT to pass the exams and having worked to save money and support yourself until you get scholarships to support yourself (and if you do), you manage to get into the best colleges that are free and that is more viable than being poor and being able to pay for college in the US, for example.

So I know that it might not be very viable depending on where you live and whether or not you are a resident of the country.

So I don't know if college can be an affordable thing for you, but if not that you can find the best strategy to achieve your financial prosperity in technology!

But if you are from the United States for example, this week I discovered this spotify program: https://fellowship.spotify.com/

The one where they only hire people with bootcamps and not colleges and open in the summer there.

And despite the layoffs, I still think there are more entry level openings there than here HUEHUEEHEU.

3) What do you mean by friendly?

If you mean easy, no, she probably won't be friendly to you at all AND THAT'S OKAY.

As you yourself said that you know absolutely nothing, it will be natural for you to have difficulty, to think about giving up and to make a lot of mistakes to get it right.

It's going to be a process of failing and trying again and again.

NOTHING IS EASY. And since you've already taken a veterinary course, I think you already know that things are really difficult. So this is another reminder that it won't be any different here.

BUT it will end well because EVERYTHING IS LEARNED.

And that also goes for math, if you ever have to deal with it (and if you go to cs college you will) you will make a lot of mistakes, but you will succeed, because EVERYTHING IS LEARNED based on trial and error.

And that doesn't mean you're bad or stupid, just that you're learning something completely from scratch. It won't be overnight that you will understand, it may take months or years, but persisting you will succeed. THIS IS NORMAL.

I cried (literally) to do conditional algorithms in 2021, I banged my head in books, said I would never make it and felt like the biggest dumbass in the world and today 2023 are the easiest things for me. I have no problem making them.

And that was only possible because I didn't give up.

Here I wanted to advise you to start your programming studies with low expectations, to help you manage your frustrations and maybe burnouts. It won't be overnight that you will become the best programmer and do many projects at the level of a senior developer or the people who do tutorials on youtube.

They will be small steps that lead you to your goals in studies. Again, constants.

There are people who could get their ek code jobs in 3 to 6 months of study.

BUT FOR ME, currently having a plan to get an opportunity between 2 years and 4 years (if you actually go to college) study is the healthiest way to pursue your studies and goals. If you get it sooner, even better for you, but if not, you'll be fine with yourself because it's within the period you stipulated.

Finally, I ask you not to take anything I say as absolute truth.

Question what you read Take what I said, analyze it and see how it works in your reality.

I also recommend trying to find women in technology from your country on linkedin and see if they can help you with tips and so on. I feel very good knowing so many Brazilian women in tech since I did this, my network there is composed only of them precisely to create a place without judgment but of welcome and inspiration.

Well, I invested about 3 hours answering the best way I can, I hope you read it and that it helps you.

Anything, if you want to talk more, you can call me in the chat, I'll take a while but I'll answer.

I wish you good studies, discernment to see which is the best path for you and that you stay well! Lots of protection in studies and career.

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zorlok-if · 2 years

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Coding Tip: Books & Libraries

Was just looking at this post and thought of some new advice for learning to code. Check out books from your local library.

This may seem a little counter-intuitive or strange for learning about computers, but it's extremely helpful. As someone who has ADHD and would get overwhelmed trying to find the correct/exact answer I was looking for when I knew very little about coding terminology, books are fantastic. There are so many different options that explain (in plain language) how to code for beginners in addition to easily-readable compendiums that have all the essential information you need about a programming language (so there's no frantic searching online). Here's some that I've been using recently: ( * = my favorites)

CSS(/HTML)

CSS, The Definitive Guide: Visual Presentation for the Web (4th Edition) by Eric A. Meyer & Estele Weyl

CSS: The Missing Manual (4th Edition) by David Sawyer McFarland *

JavaScript

Sams Teach Yourself JavaScript in 24 Hours (7th Edition) by Phil Ballard *

Learning JavaScript: Add Sparkle and Life to your Web Pages (3rd Edition) by Ethan Brown

Other

An Artist's Guide to Programming: A Graphical Introduction by Jim Parker (this one is part of a series of "no-nonsense books" from No Starch Press with books aimed at teaching code visually for visual artists, I know the series has several books for learning Python—what Ren'Py uses—too)

Speaking from my experience with American public libraries, you can go online to your library's digital catalog, see what's available, and reserve books (or whatever else) to pick up. In addition to picking materials up in person, libraries may also have books lockers, drive-up windows, or curbside options if you want to minimize exposure or just avoid interacting with humans (in general I recommend looking into what your library offers for accessibility services too, both on and off-site).

In the library, if they use the Dewey Decimal System, then the coding books will be in the early 000s (around 005-006). If not or if you want help, librarians will happily show you where to look, what's available, and (if necessary) can use inter-library loans to order in books from other libraries so you can pick them up and check out from there.

Note I: This is also helpful for writing books (like how to craft intriguing plots, how to stay motivated, prompt books, improving creative writing/thinking, etc.). Creative writing and screenwriting books will be shelved around 808 in the DDS. Game writing/design is around 794 (and try checking the children's section if you don't find any in the main one).

Note II: This is helpful for learning widely-used languages like JavaScript, CSS, Python, etc., not for coding with Twine specifically (I don't think there are any books that have been written about Twine). For Twine, it's best to stick to online tutorials/templates. You can find a list of the resources I've used to learn Twine by running this template and clicking the link in the menu called "Credits + Resources". I'll also be streaming a tutorial on Twitch this Friday (July 29th) about beginning Twine and plan on uploading that/future video tutorials to this Youtube channel.

#libraries are the best #like seriously #if you haven't been to or looked into your library in a while #go check it out #you won't regret it #coding #resources #on writing

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hayacode · 6 months

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Hey! Absolute beginner here- I’ve been wanting to learn python but I’ve been holding it off for the longestttt time - I already got myself an online course and a book or two on how to code, but nothing seems to work??? I genuinely want to learn, but I can’t seem to stick for long. What do u recommend???

This is going to be so long please bear with me.

Do you have a goal in mind? Why do you choose Python specifically?

You need a reason to keep going.

And even if you have a goal in your mind or a reason to do it, the fact that nothing works no matter how much you try means it’s not strong enough.

And maybe it’s not really the thing you want to do, not now at least and that’s okay.

Don’t force yourself! Sit and think why this should be important to you.

At first try to set only 15 mins in your day to study python.

Then if you start to get the hang of it and you finally have it as an important part of your routine, increase the time and make it 25 mins or 30 mins.

Think of ideas you want to build in the future.

You can’t build anything now but write whatever comes to your mind.

Join a community (like our community here), talk with us and ask and we will do our best to help.

Share your progress, it will motivate you and us.

But remember again, the motivation to keep going is what's gonna make you reach your goal.

Side story, I have a friend who wanted to study programming with me.

She talked about her ideas of the future so passionately but suddenly stopped.

Her reasons weren’t enough, her goal wasn’t that important to her enough.

She has many important things to do, coding and programming weren’t.

And that’s okay, at least she knows.

She chooses to focus on what’s important to her right now.

And in the future, if she has time, she will give coding a second chance.

#ask me anything

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omg-snakes · 2 years

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hello!!! so sorry to bother you with questions, but what is your opinion on the best pet snake for an absolute beginner? i've loved snakes since i was a kid but never had the possibility of owning one, but I might in a little while. i've heard that corn snakes are easy and cute? sorry if this is weird!!

Hello!

That's not a weird question, that's a great question!

The answer is that the best pet snake for an absolute beginner to reptiles is the one you have researched fully and love the most. While it's true that some snakes are more forgiving in terms of husbandry and may be easier to keep in captivity, with proper preparation most snakes in the hobby can be suitable for a first-time keeper.

Corn snakes are not the first snake species I ever kept, but they were the snake that fit me best, and by coincidence are also one of the easiest to keep. I know other folks for whom boa constrictors were their true best match, or ball pythons, or sand boas, or king snakes. Even more challenging snakes like rainbow boas or old-world rat snakes can be a fine first snake if you are fully prepared.

I guess the questions you should ask yourself are: Why do I want a pet snake? What appeals to me most about having a snake? When I picture myself with a pet snake, what does it look like? How big should my snake be? What should their enclosure look like? How important is interaction with my snake, and how often will we interact? What sorts of activities will my snake and I partake in? Should my snake be more active or more snuggly? What will my snake eat? How much space, time, and money can I reasonably devote to this snake's enclosure and long-term husbandry? How likely is that to change within a snake's lifetime?

There are no wrong answers to these questions. Sit down and really think about it. When you have your answers, write a list of pros and cons for species that match what you're wanting and weigh them against one-another. Price out enclosures and supplies and compare them for an "easier" snake that tolerates your local climate better versus a more challenging species that needs more specific humidity and temperature ranges.

Finally, listen to your heart... but act logically. If your heart-song happens to be playing to the tune of a more challenging species, then follow it! Regardless of the species you choose, be ready to read a ton, find peer-reviewed scientific articles about the snake species you've selected, see if books on their keeping are available and read those, join online communities for that species, learn their husbandry inside and out and backwards, talk to breeders of that species, understand their natural history and their native habitat and be prepared to recreate it in captivity before you bring that snake home.

It's a process, but at the end of it you'll have exactly what you wanted and nothing less.

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jambeegoatson · 1 year

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Step-by-Step Guide to Coding for Beginners

Coding is a valuable skill in today's digital world, and it's never too late to start learning. Whether you're looking to switch careers, build websites, or create apps, coding is a great place to start. This guide will help you get started on your coding journey, covering the basics of coding and providing a roadmap for further learning.

What is coding, and why is it important?

Coding is the process of writing instructions for computers to follow. It's the language that computers use to communicate with each other and with humans. Coding is important because it's a fundamental part of the technology that drives our daily lives. From websites and apps to software and automation, coding plays a crucial role in nearly every aspect of our digital world.

What do you need to get started?

To start coding, you'll need a few things: a computer, an internet connection, and a text editor. A text editor is a program that allows you to write and save code. There are many free text editors available, including Sublime Text, Visual Studio Code, and Notepad++.

Once you have your tools set up, it's time to start learning!

Getting started with coding

The first step in your coding journey is to learn a programming language and learn what are do's and don'ts of coding. There are many programming languages to choose from, but some of the most popular and widely used include HTML, CSS, JavaScript, Python, and Java. HTML (HyperText Markup Language) is used to create the structure of websites. CSS (Cascading Style Sheets) is used to add styling and design to HTML pages. JavaScript is used to create interactive elements on websites. Python is a versatile programming language that can be used for a wide range of tasks, from data analysis to machine learning. Java is a popular language for developing Android apps and building enterprise-level applications.

Once you have chosen a programming language, it's time to start learning! There are many resources available to help you get started, including online courses, books, and tutorials. Some popular resources for learning HTML, CSS, and JavaScript include Aspire Coding, Codecademy, W3Schools, and Udemy. For learning Python, try Codecademy, Udemy, or Coursera. And for learning Java, check out Udemy, Coursera, or Oracle's Java tutorials.

Practice, practice, practice

The best way to learn coding for beginners is by doing. As you learn the basics of your chosen programming language, start experimenting with small projects. Try creating a simple website, building a calculator app, or writing a program to automate a task. The more you practice, the better you'll get, and you'll soon find that coding becomes second nature.

Take your learning to the next level

Once you have a solid understanding of the basics, it's time to take your learning to the next level. Consider taking an online course or enrolling in a bootcamp to learn more advanced concepts and skills. You can also participate in coding challenges and hackathons to put your skills to the test and learn from other coders.

Final thoughts

Coding is a valuable skill that can open up a world of opportunities. Whether you're looking to switch careers, build websites, or create apps, coding is a great place to start. With this guide and the resources available, you'll be well on your way to becoming a coding pro. Remember to practice regularly, take advantage of online resources, and never stop learning!

#coding #aspire coding #coding for kids #coding for beginners #python #codecademy #w3school #programming

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vivekavicky12 · 6 months

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Hands-On Data Science: Practical Steps for Aspiring Data Scientists

Embarking on the journey to study data science may initially seem like a complex and challenging task, but with a strategic approach, it can become a rewarding and accessible endeavor. Choosing the Best Data Science Institute can further accelerate your journey into this thriving industry. Let's explore a roadmap that can make your data science learning experience smoother and more manageable, breaking down the process into actionable steps.

1. Start with the Basics: Lay a Solid Foundation in Mathematics and Statistics

Commence your data science journey by establishing a robust foundation in the essentials of mathematics and statistics. Grasp fundamental concepts such as linear algebra and probability, which serve as the bedrock for advanced data science algorithms.

2. Learn a Programming Language: Begin Your Coding Journey with Python or R

Acquire proficiency in a programming language widely used in data science, such as Python or R. These languages are renowned for their user-friendliness and come equipped with extensive libraries and resources tailored for data science enthusiasts.

3. Explore Online Learning Platforms: Enroll in Accessible and Structured Courses

Embark on your learning adventure by enrolling in online courses specifically designed for beginners. Platforms like Coursera, edX, and ACTE Technologies offer a plethora of courses crafted by top universities and industry experts, covering fundamental topics like "Introduction to Data Science."

4. Hands-On Projects: Apply Theoretical Knowledge Through Real-world Applications

Translate theoretical knowledge into practical skills through hands-on projects. Platforms like Kaggle provide datasets and challenges that allow you to apply and implement what you've learned, solidifying your understanding through real-world applications.

5. Utilize Data Science Libraries: Master Essential Tools

Familiarize yourself with popular data science libraries in Python, such as Pandas, NumPy, and Scikit-Learn. These libraries simplify complex tasks and are widely adopted in the industry, making them indispensable tools in your data science toolkit.

6. Read Widely: Supplement Learning with In-Depth Resources

Enhance your online learning by delving into books on data science. Resources like "The Data Science Handbook" and "Python for Data Analysis" offer valuable insights into best practices and real-world applications. Follow reputable data science blogs to stay informed on emerging industry trends.

7. Engage with the Community: Join Forums and Discussions to Foster Connections

Immerse yourself in the vibrant data science community through platforms like Stack Overflow and Reddit. Actively participate in discussions, pose questions, and learn from the experiences of fellow enthusiasts. Networking is a valuable component of the learning process, offering diverse perspectives and insights.

8. Specialize Based on Interest: Explore and Deepen Your Understanding

As you advance in your studies, explore different areas within data science based on your interests. Whether it's machine learning, data engineering, or natural language processing, find a niche that resonates with your passion and curiosity.

9. Continuous Learning: Cultivate a Lifelong Learning Mindset

Recognize that data science is an ever-evolving field. Cultivate a mindset of continuous learning. Stay curious, explore advanced topics, and keep yourself updated on the latest industry developments to remain at the forefront of the field.

10. Practice Regularly: Consistency is Key to Mastery

Consistency is paramount in mastering data science. Dedicate regular time to your studies, practice coding, and engage in projects consistently. Building a habit ensures steady progress and reinforces your skills over time, enabling you to tackle increasingly complex challenges.

In conclusion, mastering data science is a journey that involves a combination of theoretical understanding, practical application, and a commitment to continuous learning. By following this roadmap and breaking down the learning process into manageable steps, you can navigate the world of data science with confidence and ease. Remember that the key to success lies not only in the destination but in the learning and growth that happens along the way. Choosing the best Data Science Courses in Chennai is a crucial step in acquiring the necessary expertise for a successful career in the evolving landscape of data science.

#data science certification #data science course #data science training #datascience #technology

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deepak-garhwal · 1 year

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#best python book for beginners #python programming book #best book for python programming #python programming book for beginners #book for python programming #best book for python programming pdf #latest Python books #free python books #Python Crash Course #Head First Python #Learn Python the Hard Way #Python Programming: An Introduction to Computer Science #Automate the Boring Stuff with Python #best python book for beginners in India

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cbirt · 1 year

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Hi. I'm am early biology student and I was wondering how to learn bioinformatics. I've started learning python, but then I don't know where to go from there.

Hi, thanks for reaching out. There is a comprehensive list of resources for beginners to learn bioinformatics at our website: https://cbirt.net/

Please check it out! and enjoy learning!

#bioinformatics #freecourse #bookshelf

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shalu620 · 7 days

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Elevate Your Python Skills: A Detailed Guide to Becoming Proficient

Python is a versatile and widely-used programming language that powers everything from web applications to data analysis. Whether you're a novice or an experienced developer, there are always ways to enhance your Python skills. Considering the kind support of Learn Python Course in Hyderabad, Whatever your level of experience or reason for switching from another programming language, learning Python gets much more fun.

This guide provides a strategic approach to mastering Python and advancing your programming abilities.

Laying a Strong Foundation

Before tackling complex topics, it’s crucial to have a solid grasp of Python basics. Start with understanding the fundamental syntax, data types, control structures, functions, and error handling. Numerous resources are available to help you get started. Online platforms such as Codecademy, Coursera, and Udemy offer comprehensive beginner courses. Books like "Python Crash Course" by Eric Matthes and "Automate the Boring Stuff with Python" by Al Sweigart are excellent for foundational learning. Additionally, Python’s official documentation is a great resource for understanding the language’s features and libraries.

Consistent Practice

The key to mastering Python is consistent practice. Make coding a daily or weekly habit to reinforce your learning and improve your skills. Regular practice solidifies your understanding and enhances your problem-solving abilities. Websites like LeetCode, HackerRank, and CodeSignal provide a wide range of coding challenges that cater to different skill levels, offering an excellent way to practice and apply your knowledge.

Building Practical Projects

One of the most effective ways to learn Python is by working on real-world projects. Projects help you understand code structure, debugging, and problem-solving in practical scenarios. Start with simple projects, like creating a to-do list app, a web scraper, or a basic calculator. As you gain confidence, move on to more complex projects such as a personal finance tracker, a blog using Django, or a weather forecasting app. Eventually, challenge yourself with advanced projects like developing machine learning models, RESTful APIs, or e-commerce websites.

Diving into Books and Documentation

Beyond courses and tutorials, reading books can provide deeper insights into Python. For beginners, "Automate the Boring Stuff with Python" by Al Sweigart and "Python Crash Course" by Eric Matthes are excellent resources. For advanced learners, "Fluent Python" by Luciano Ramalho and "Effective Python" by Brett Slatkin offer valuable knowledge. Regularly reading Python’s official documentation keeps you updated with the language’s capabilities and standard libraries. Enrolling in the Best Python Certification Online can help people realise Python's full potential and gain a deeper understanding of its complexities.

Engaging with the Community

Joining Python communities and forums is a great way to learn, share knowledge, and stay motivated. Participate in discussions on the Python subreddit, Stack Overflow, or specialized forums like Real Python. Attend local Python meetups or join user groups to network with other developers and gain insights from their experiences. Additionally, attending Python conferences like PyCon can provide exposure to industry experts and hands-on workshops.

Learning from Others’ Code

Studying code written by experienced developers can introduce you to new techniques and best practices. Explore well-documented repositories on GitHub to see how others solve problems and structure their code. This practice can inspire you and help you improve your coding style and efficiency.

Exploring Advanced Topics

After mastering the basics, delve into more advanced Python topics. This includes studying algorithms and data structures, understanding object-oriented programming, and exploring specialized fields like web development, data science, and machine learning. Learn common algorithms and data structures such as sorting algorithms, linked lists, and binary trees. Understand the principles of object-oriented programming, including classes, inheritance, and polymorphism. Explore frameworks like Django and Flask for web development. Use libraries like Pandas, NumPy, and Scikit-Learn to analyze data and build machine learning models.

Participating in Competitions

Coding competitions are a fun and challenging way to test your skills and learn new techniques. Platforms like Kaggle, Codewars, and Google Code Jam offer unique problems that require innovative solutions. Kaggle focuses on data science and machine learning competitions. Codewars provides a variety of coding challenges to sharpen your problem-solving skills. Google Code Jam presents complex algorithmic problems that push your coding abilities to the limit.

Continuous Learning Through Courses

Staying updated and enhancing your skills requires ongoing education. Enroll in advanced courses on platforms like Coursera, Udacity, edX, or Pluralsight. These platforms offer specialized tracks in areas such as data science, web development, and artificial intelligence, allowing you to tailor your learning to your career goals.

Review and Improve

Regularly reviewing your own code and projects is essential for growth. Refactor your code to make it cleaner and more efficient. Seek feedback from peers to gain different perspectives. Continuous reflection and iteration on your work is crucial for long-term improvement.

Conclusion

Mastering Python is a continuous journey of learning and practice. By following these strategies and staying committed to your growth, you can become proficient and confident in your Python programming abilities. Start today, maintain your curiosity, and keep challenging yourself to unlock the full potential of Python.

#python course #python training #python #technology #tech #python programming #python online training

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elevatepython · 16 days

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Table of ContentsHere is the reason this site is for YOU.Who is Benjamin Britcliffe?Why Python?And don't just take my word for it!ConclusionWant more information or just a chat?Credits My name is Benjamin Britcliffe and I am the sole founder of ElevatePython. ElevatePython has been created for all future budding developers who are interested in learning more about Python. Here is the reason this site is for YOU. I want to share a few tips and tricks for getting people into Python Programming. Because the future is going to become an automated paradise. I want to help you go from a beginner programmer to a pro without having to break the bank on expensive courses and useless books. I will provide you with interactive examples, code snippets and resources to help you when you are in trouble. Think of them as templates! No need to worry, take your time. My most important advice is DON'T PANIC. I will do my best to help you get to where you want to be, with detailed tutorials, blueprints and ideas. . Who is Benjamin Britcliffe? That would be me. Living in the UK, not far from Manchester. I studied computer science at a graduate level and discovered a passion for programming. Throughout my career as a data analyst, I learned that I liked to teach programming to others, hence why I decided to create this blog to share my knowledge. Why Python? Because I love it! —No, not only that! Though this is true! It's one of the fastest-growing programming languagesPython is versatile and can be used for several purposes.Has many additional tools and modules which makes python flexible. Many companies use it, and there is a demand for Python programmers.A fantastic community makes it easy to read, write and learn. And on top of that, Python developers earn plenty of money. And don't just take my word for it! GitHub publishes a "State of the Octoverse" that traces the most popular languages and projects on the website. Moving from 4th position in 2014 to 2nd in 2020. https://octoverse.github.com/ And thank you Coding Nomads for the weight of the above claims! https://codingnomads.co/why-learn-python/ Conclusion The future holds promise for all, and I want you to succeed! So grab a coffee and turn it into code! Photo by Peter Scherbatykh on Unsplash In my next post, I would like to introduce you to "My Blog Structure" and my unique way to help people learn Python programming quicker and easier. Want more information or just a chat? You can find me on Twitter, Facebook and LinkedIn or send me a mail! Head to the next post as we begin our programming adventure. Credits https://octoverse.github.com/ https://codingnomads.co/why-learn-python/ https://statisticstimes.com/tech/top-computer-languages.php https://www.teepublic.com/en-gb/t-shirt/12133382-programmer-computer-convert-caffeine-to-code?feed_sku=12133382D1V I also like my grammar and spelling to be in check. https://www.grammarcheck.net/editor/ I like to make sure my blogs are easy to read Flesch Kincaid Calculator | Good Calculators

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divyaramu874 · 17 days

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Exploring Python: A Detailed Guide for New Programmers

Venturing into Python programming offers a thrilling and valuable experience in the tech sphere. For those new to coding, sifting through Python’s syntax, extensive libraries, and recommended practices might appear daunting. My comprehensive Python Course in Hyderabad equips you to produce outputs, deliver explanations, and guide on Python and a variety of other subjects, as it's grounded in the patterns and data I was trained on. Nevertheless, with the appropriate methodology and tools, achieving competencies in Python is well within reach. In this detailed guide, we will explore vital approaches and tips that can aid beginners in effectively learning Python and advancing toward skilled coder status.

Grasping Core Principles:

Kicking off your Python education involves mastering key programming principles. Comprehending variables, data types, loops, conditional statements, and functions is foundational in Python coding. Establishing a thorough comprehension of these principles sets the stage for crafting more intricate software.

Consistent Coding Practice:

The age-old adage that practice leads to perfection holds true. Regular practice is critical for solidifying your grasp of concepts and polishing coding abilities. Platforms like LeetCode, HackerRank, and Codewars present numerous challenges and exercises tailored to novices, which are excellent for refining skills and deepening Python syntax and semantic knowledge.

Hands-On Projects:

Theoretical knowledge is a partial aspect of learning Python. Initiating hands-on projects and real-world applications allows beginners to embed Python principles effectively. Start with straightforward tasks like creating a simple calculator or to-do list app to apply the theoretical knowledge practically. With growing confidence, scaling project complexity will enhance your grasp and skillfulness in Python.

Educational Books and Materials:

The abundance of Python learning materials accessible is astounding. Titles such as “Automate the Boring Stuff with Python” by Al Sweigart, “Python Crash Course” by Eric Matthes, and “Learning Python” by Mark Lutz are crafted for beginners and offer clear explanations, actionable examples, and engaging exercises, steering new programmers on their Python path.

Digital Courses and Video Tutorials:

In the digital era, online courses and video tutorials are indispensable for learners. Platforms like ACTE Technologies provide Python online courses optimized for beginners, featuring structured courses, insightful videos, interactive quizzes, and projects that navigate learners through Python’s complexities. These digital resources allow flexible learning tailored to your schedule and availability from any internet-enabled location.

Joining the Community:

The Python community is notorious for its welcoming nature and readiness to support novices. Involvement with forums like Stack Overflow and Reddit’s r/learnpython, or local Python gatherings, opens doors for beginners to network with fellow enthusiasts, get advice, and exchange learnings. Entering into discussions, posting inquiries, and assisting peers enhances learning and aids in quicker assimilation of Python nuances.

Soliciting Constructive Criticism:

For novices, it is vital to seek out and apply feedback on their code. Sharing your work with fellow learners or mentors can pinpoint where enhancement is needed and elucidate best coding practices. Peer reviews in coding serve as an invaluable learning mechanism and assist novices in refining their coding strategies.

Ongoing Education:

The journey to Python mastery is continuous, with the language offering an ever-evolving palette of tools and concepts. Aspiring programmers must dedicate themselves to perpetually expanding their knowledge, discovering novel libraries, frameworks, and complex features. Staying abreast of industry shifts and new technologies places beginners at the cutting edge of Python development.

By adopting an attitude of persistent practice, learning, and discovery, new programmers can undertake a rewarding path to Python proficiency. With hard work, patience, and the right set of resources, Python’s programming domain is ripe for exploration. Hence, it’s time to delve in and start unraveling the engaging realm of Python!

#python #python course #python programming #python training #programming #coding

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educationtech · 28 days

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18 Best Resources to Learn Data Science Online in 2024

The best free resources to learn Data Scienceand Data Analysis include a variety of platforms and courses that offer comprehensive learning materials and practical exercises. Here are some notable free resources from the provided sources:

1. FreeCode Camp: This online learning platform offers free lessons on statistics for Data Science, computer science concepts, Python fundamentals, Pandas, Python Matplotlib, and provides a guide to building a good Data Science portfolio.

2. Khan Academy: Known for its free lessons, Khan Academy explains various Data Science concepts such as SQL, data analysis, finding patterns in datasets, statistics, and probability, accompanied by practice sets to test knowledge.

3. Google Cloud: Google Cloud provides a free Machine Learning crash course with video lectures, practice exercises, and case studies for learners, allowing customization in the learning experience through consolidated videos, tutorials, sample codes, courses, documentation, labs, and interactive sessions.

4. Intellipaat:Intellipaat offers a Data Science tutorial on their website and several video tutorials on their YouTube channel, covering a wide range of topics in detail, making it a valuable resource for systematic learning of Data Science.

5. NobleDesktop: Noble Desktop offers hands-on training in data analytics through courses like Data Analytics Certificate, SQL Bootcamp, and Tableau Bootcamp, designed for beginners and advanced learners alike, providing a practical approach to learning data analytics.

6. CareerFoundry:CareerFoundry's Data Analytics Short Course is a series of five beginner-friendly classes that provide a brief introduction to data analytics, offering interactive exercises and a free participation certificate at the end, making it a valuable resource for beginners.

7. EliteDataScience:EliteDataScience provides 65 free data science resources hand-picked and annotated for beginners, covering foundational skills, programming, statistics, technical skills, data collection, SQL, data visualization, applied machine learning, business skills, and supplementary skills, offering a comprehensive guide for aspiring data scientists.

These free resources offer a wealth ofknowledge, practical exercises, and tutorials to help individuals learn Data Science and Data Analysis effectively, making them valuable assets for anyone looking to enter the field or enhance their skills in these domains.

What are the best free online books for dataanalysis and data science

Some of the best free online books for DataAnalysis and Data Science include:

1. AnIntroduction to Data Science by Jeffrey Stanton

2. Schoolof Data Handbook by School of Data

3. DataJujitsu: The Art of Turning Data into Product by DJ Patil

4. Artof Data Science by Roger D. Peng & Elizabeth Matsui

5. TheData Science Handbook by Carl Shan, Henry Wang, William Chen, & Max Song

6. TheData Analytics Handbook by Brian Liou, Tristan Tao, & Declan Shener

7. DataDriven: Creating a Data Culture by Hilary Mason & DJ Patil

8. BuildingData Science Teams by DJ Patil

9. Understandingthe Chief Data Officer by Julie Steele

10. TheElements of Data Analytic Style by Jeff Leek

These books cover a wide range of topics inData Analysis and Data Science, providing valuable insights and knowledge for learners interested in these fields and the same are taught in Top Engineering College in Jaipur Rajasthan which is Arya college of Engineering & I.T.

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vivekavicky12 · 6 months

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Cracking the Code: A Beginner's Roadmap to Mastering Data Science

Embarking on the journey into data science as a complete novice is an exciting venture. While the world of data science may seem daunting at first, breaking down the learning process into manageable steps can make the endeavor both enjoyable and rewarding. Choosing the best Data Science Institute can further accelerate your journey into this thriving industry.

In this comprehensive guide, we'll outline a roadmap for beginners to get started with data science, from understanding the basics to building a portfolio of projects.

1. Understanding the Basics: Laying the Foundation

The journey begins with a solid understanding of the fundamentals of data science. Start by familiarizing yourself with key concepts such as data types, variables, and basic statistics. Platforms like Khan Academy, Coursera, and edX offer introductory courses in statistics and data science, providing a solid foundation for your learning journey.

2. Learn Programming Languages: The Language of Data Science

Programming is a crucial skill in data science, and Python is one of the most widely used languages in the field. Platforms like Codecademy, DataCamp, and freeCodeCamp offer interactive lessons and projects to help beginners get hands-on experience with Python. Additionally, learning R, another popular language in data science, can broaden your skill set.

3. Explore Data Visualization: Bringing Data to Life

Data visualization is a powerful tool for understanding and communicating data. Explore tools like Tableau for creating interactive visualizations or dive into Python libraries like Matplotlib and Seaborn. Understanding how to present data visually enhances your ability to derive insights and convey information effectively.

4. Master Data Manipulation: Unlocking Data's Potential

Data manipulation is a fundamental aspect of data science. Learn how to manipulate and analyze data using libraries like Pandas in Python. The official Pandas website provides tutorials and documentation to guide you through the basics of data manipulation, a skill that is essential for any data scientist.

5. Delve into Machine Learning Basics: The Heart of Data Science

Machine learning is a core component of data science. Start exploring the fundamentals of machine learning on platforms like Kaggle, which offers beginner-friendly datasets and competitions. Participating in Kaggle competitions allows you to apply your knowledge, learn from others, and gain practical experience in machine learning.

6. Take Online Courses: Structured Learning Paths

Enroll in online courses that provide structured learning paths in data science. Platforms like Coursera (e.g., "Data Science and Machine Learning Bootcamp with R" or "Applied Data Science with Python") and edX (e.g., "Harvard's Data Science Professional Certificate") offer comprehensive courses taught by experts in the field.

7. Read Books and Blogs: Supplementing Your Knowledge

Books and blogs can provide additional insights and practical tips. "Python for Data Analysis" by Wes McKinney is a highly recommended book, and blogs like Towards Data Science on Medium offer a wealth of articles covering various data science topics. These resources can deepen your understanding and offer different perspectives on the subject.

8. Join Online Communities: Learning Through Connection

Engage with the data science community by joining online platforms like Stack Overflow, Reddit (e.g., r/datascience), and LinkedIn. Participate in discussions, ask questions, and learn from the experiences of others. Being part of a community provides valuable support and insights.

9. Work on Real Projects: Applying Your Skills

Apply your skills by working on real-world projects. Identify a problem or area of interest, find a dataset, and start working on analysis and predictions. Whether it's predicting housing prices, analyzing social media sentiment, or exploring healthcare data, hands-on projects are crucial for developing practical skills.

10. Attend Webinars and Conferences: Staying Updated

Stay updated on the latest trends and advancements in data science by attending webinars and conferences. Platforms like Data Science Central and conferences like the Data Science Conference provide opportunities to learn from experts, discover new technologies, and connect with the wider data science community.

11. Build a Portfolio: Showcasing Your Journey

Create a portfolio showcasing your projects and skills. This can be a GitHub repository or a personal website where you document and present your work. A portfolio is a powerful tool for demonstrating your capabilities to potential employers and collaborators.

12. Practice Regularly: The Path to Mastery

Consistent practice is key to mastering data science. Dedicate regular time to coding, explore new datasets, and challenge yourself with increasingly complex projects. As you progress, you'll find that your skills evolve, and you become more confident in tackling advanced data science challenges.

Embarking on the path of data science as a beginner may seem like a formidable task, but with the right resources and a structured approach, it becomes an exciting and achievable endeavor. From understanding the basics to building a portfolio of real-world projects, each step contributes to your growth as a data scientist. Embrace the learning process, stay curious, and celebrate the milestones along the way. The world of data science is vast and dynamic, and your journey is just beginning. Choosing the best Data Science courses in Chennai is a crucial step in acquiring the necessary expertise for a successful career in the evolving landscape of data science.

#data science certification #data science course #data science training #datascience #technology

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