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materials
- Think Python, 3rd Edition
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Collection of resources to get started on your programming journey
Python - Python.org - Official Python website with documentation and tutorials. - Codecademy Python Course - Real Python - Python tutorials and articles for all skill levels.
- I have started my Python self Learning Journey - Is one source enough?
- How to manage procrastination and lack of focus during learning?
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Other programing options?
Real Python (https://realpython.com/)
- Whats the best way to learn python for free?
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Best free sites to learn Python Courses
https://realpython.com are very good in my opinion.
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Recommended learning resources for rust
I know the official sites/books but am looking for something a bit more convenient and guided, similar to https://realpython.com/ which has really good text articles and also video courses covering specific topics.
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How do I get started with ML?
Learn Python: Python is the most popular language for ML and AI projects. Start by learning the basics of Python, then move on to more advanced topics. Some great resources for learning Python include: Codecademy's Python course: https://www.codecademy.com/learn/learn-python Real Python: https://realpython.com/ Mathematics: A solid understanding of mathematics, particularly linear algebra, calculus, probability, and statistics, is essential for ML. Here are some resources to help you learn: Khan Academy courses: Linear Algebra: https://www.khanacademy.org/math/linear-algebra Calculus: https://www.khanacademy.org/math/calculus-1 Probability and Statistics: https://www.khanacademy.org/math/statistics-probability 3Blue1Brown's YouTube series on Linear Algebra: https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab Data processing and manipulation: Familiarize yourself with popular Python libraries for data manipulation and analysis, such as NumPy, pandas, and matplotlib: NumPy: https://numpy.org/doc/stable/user/quickstart.html pandas: https://pandas.pydata.org/pandas-docs/stable/getting_started/intro_tutorials/index.html matplotlib: https://matplotlib.org/stable/tutorials/index.html Machine learning concepts: Learn about the basic concepts of ML, including supervised learning, unsupervised learning, and reinforcement learning. Some great resources include: Coursera's Machine Learning course by Andrew Ng: https://www.coursera.org/learn/machine-learning Google's Machine Learning Crash Course: https://developers.google.com/machine-learning/crash-course Fast.ai's Practical Deep Learning for Coders course: https://course.fast.ai/ Deep learning libraries: Get familiar with popular deep learning libraries such as TensorFlow and PyTorch: TensorFlow: https://www.tensorflow.org/tutorials PyTorch: https://pytorch.org/tutorials/ Specialize and work on projects: Choose an area of interest (such as natural language processing, computer vision, or reinforcement learning), and start working on projects to apply your skills. You can find datasets and project ideas from sources like: Kaggle: https://www.kaggle.com/ Papers With Code: https://paperswithcode.com/ Stay up-to-date and join the community: Follow ML blogs, podcasts, and conferences to stay current with the latest developments. Join ML communities and forums like r/MachineLearning on Reddit, AI Stack Exchange, or specialized Discord and Slack groups.
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FLOSSing for Lent 12/40 - Python
Real Python - A great place to learn python
computer-science
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Final project took me longer than expected, but I got there in the end.
For a well-rounded CS knowledge you might want to look into OSSU, which is designed to meet the requirements for univerisity CS courses.
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Is codecademy worth it and where else can I learn
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)
- What is the best low level programming language to learn for someone who knows only python?
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I want to be a software engineer?
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.
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What path is the best way to get a software engineering role by the summer if my major isn't in software/cs?
https://github.com/ossu/computer-science Quite comprehensive but will take much longer then 8 months. Would only do it if anyone who did do it thinks they where ready for applying to jobs after studying 1/4 of the course.
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Advice / Resources from a "Seasoned Beginner"
Link to Open CS Degree (a four year plan with links to free material that parallels a degree path)
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Seeking Advice for Building a Self-Study Programming Curriculum After Dropping Out of College
Take the subjects and course/book recommendations in https://teachyourselfcs.com or https://github.com/ossu/computer-science.
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best sites for learn programming... [ part1 ]
URL | https://github.com/ossu/computer-science
- Besplatni linkovi za učenje
What are some alternatives?
developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.
p1xt-guides - Programming curricula
coding-interview-university - A complete computer science study plan to become a software engineer.
CS50x-2021 - 🎓 HarvardX: CS50 Introduction to Computer Science (CS50x)
missing-semester - The Missing Semester of Your CS Education 📚
open-source-cs - Video discussing this curriculum:
cs-topics - My personal curriculum covering basic CS topics. This might be useful for self-taught developers... A work in development! This might take a very long time to get finished!
learnxinyminutes-docs - Code documentation written as code! How novel and totally my idea!
build-your-own-x - 🤓 Build your own (insert technology here) [Moved to: https://github.com/codecrafters-io/build-your-own-x]
data-science - :bar_chart: Path to a free self-taught education in Data Science!
build-your-own-x - Master programming by recreating your favorite technologies from scratch.