Programmers_guide_to_Python VS computer-science

Hello everyone, I have created a website for my ebook Programmer's guide to Python. On github it wasn't easy to read due to the size, so I thought a website could be more convenient. I've considered topics which are important and which should cover most grounds in Python programming and more. My goal was to create a concise and easy to follow guide to Python programming. I am looking forward to add more content like testing and some standard libraries that we use most often. Let me know your thoughts, suggestions or improvements regarding the website or contents, anything that needs to be added or something else. The current plain learning path will stay forever free and will have no ads, the interactive mode is currently slowly under works, and so I am not much sure about it yet. Hope you find it useful, you can access the website here.

You can also use my book to fine tune your learning. It's free and I keep updating it, so I hope it helps.

Try my book once you're done with the basics.

Hello everyone, I have written a e-book named "Programmer's guide to Python", this is the second time I am making a post about it. It is designed to learn python fast by going through concepts with examples, with easy language and straightforward explanations. Only prerequisite is that you should have some basic exposure to programming. It covers most of the hot/necessary topics and more. It's a free book that you access right here on my github. I have recently worked alot and have updated alot inside out, fixing mistakes/errors, adding topics. I think the book is ready to ~90%, probably more, I'll drop the pdf version once ready. The thing is I don't have any reviewer to review it yet, so if anyone with enough experience who would like to collaborate, fix somethings, review or anything let me know, I'll add you to the contribution/reviewer list or maybe as a co-author if you put up enough work. Finally if you'll be reading it, I would like to know your thoughts/suggestions on improvements and maybe something you'd liked to be added in future. That's it, I hope this book helps you in learning python 🙌.

You can try reading my book, let me know your thoughts.

Hello everyone, I hope you're doing fine, I recently wrote Programmer's guide to Python, its a book to learn python fast. If you have prior programming knowledge and are looking to learn python, this will help you kickstart your learning. If you have previously taken basic python courses and want to solidify your learning, this is for you too. It's short, fast and free. It is designed to cover all the important aspects of python, just good enough get you building stuff with Python. I hope it benefits you in learning python. Let me know your thoughts.

Well you can use my Programmer's guide to Python to solidify your learning. I recently wrote it, it's fast and short way to learn python. I also have ml recommendations which I have curated, they are all almost free and not affiliated. Take a look here, happy learning.

You can find some resources here they are all almost free and not affiliated. I recently wrote Programmer's guide to Python which is short and fast way to learn python, also free. Do take a look.

You can use my Programmer's guide to Python to strengthen your python knowledge. Please take a look.

Programmer's guide to Python

Last year I discovered the DEV Community and since then this has been my favorite place to learn, share my learning journey, participate in challenges, and meet new people. I love to spend time in #discussion, debating about something, on "Welcome Thread" and moderating some novices and beginners posts too. On April 1st, @bekahhw from Virtual Coffee made a post inviting anyone in the community to join a challenge of Public Speaking. The main idea was to choose a topic, develop a well-structured and engaging talk, and present it at the end of the month, all the process was guided by the community with tips and tasks for each week. I loved the idea and was so excited about it. For the first week, I've chosen my topic, I'd like to talk a bit about Linux and open-source projects. Things like studying OS, testing a new distro on my desktop, and completely diving into the OSSU (Open Source Society University) influenced my choices directly. Then, I had to face one of my biggest difficulties, writing an outline with an introduction, development, and conclusion. For this presentation, each participant had 5-10 minutes to a lighting talk and I was afraid of writing something so superficial without connection or with big jumps between subtopics. As a non-native English speaker, I made an immersive month to get even more used to the language, listen to more music, watching even more videos (especially with my boyfriend whose have helped me so much with this and our long talks about OS and Kernels). In the last week, the focus was on delivering and I did my best to don't get nervous and just try to face this as a normal talk. I have to admit that I loved to spend time creating a slide presentation like I did a lot in my Physics Bachelor for countless experiments and projects. I have searched a lot about the Virtual Coffee community and I loved the main idea of mutual support and the meeting styles. Also, I'm on the waiting list and I hope to be in the Lightning Talks in the next year and join more and more challengers. As how I promised, here's my presentation video:

There is a Discord server for the OSSU computer science cirriculum that is pretty active. https://github.com/ossu/computer-science

For a well-rounded CS knowledge you might want to look into OSSU, which is designed to meet the requirements for univerisity CS courses.

There’s also a compiled CS curriculum here: https://github.com/ossu/computer-science.

OP I hate to double comment and be "that guy who learned to code without going to college who MUST he did it the correct way" cause fuck "that guy". He's annoying, and he never shuts up, and I try really hard not to be that guy.... But I wanna provide some extra reasons I feel you should stay away from Code Academy. And as I said before, not because they're bad courses, so let me be that guy just for a brief moment. In addition to random Youtubers straight up having high quality courses that are much more update date, they often have supplemental tutorials on niche things that aren't covered in a "101 course". But even then, maybe the idea of a certificate on your resume appeals to you... Well, turns out there's more "academic" courses online you can do to get more of those things that self-taught dumbasses like me aren't as strong with because we skipped the "academic" part of learning..... If that's what makes Code Academy appealing (which I don't think they even go over much.... but still)... then here's 2 things I'd look at before pulling out your wallet. Here's Harvards entire introduction to Computer Science courses provided for anyone to take for free (you can pay for a certificate, but its straight up $0.00 to take the classes) Heres a github repo for an Open Source University that a ton of devs have curated to give a simulated full degree program If you want to focus hardcore on being a Web Developer and are frustrated by there not being tutorials that show you exactly how to handle every step from "there's no website on my computer" to "holy shit I made a website", then here you go The Odin Project is an Open Source answer to your cries of frustration. It has curriculum paths that do exactly that. The goal is to go from zero programming knowledge to fully employable as a web developer (by skill level at least, obviously you'll need to build stuff and build a resume)

That said, I'm a software developer and I don't see any point in the distinction of calling someone a software or computer engineer based on education (with the exception of electronics engineers that work on hardware, but here I'm talking about software). A BSc or BEng in computer science or software development can give you a headstart but nothing that can't be self taught and in hiring I've been shocked by many postgrad engineers that couldn't answer simple questions and were outdone by self taught engineers. Make no mistake though - education is required (e.g. you're not going to learn data structures and algorithms through osmosis), but it doesn't have to be formalised as a degree.

My plan is to follow the training program that the OSSU (Open Source Society University) provides in order to really delve into the topic and learn more. Check out this link for more info: https://github.com/ossu/computer-science

se vc quer literalmente ficar a frente do seu curso, ent é só usar o ossu/computer-science.

If someone's completed CS50X and W any recommendation where to carry on https://github.com/ossu/computer-science I'm thinking from core maths onwards seems reasonable.