materials

Bonus materials, exercises, and example projects for our Python tutorials (by realpython)
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materials reviews and mentions

Posts with mentions or reviews of materials. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-23.
  • How to manage procrastination and lack of focus during learning?
    3 projects | /r/learnprogramming | 23 May 2023
  • Other programing options?
    3 projects | /r/learnprogramming | 4 May 2023
    Real Python (https://realpython.com/)
  • Whats the best way to learn python for free?
    4 projects | /r/learnpython | 3 May 2023
  • Best free sites to learn Python Courses
    3 projects | /r/learnpython | 30 Apr 2023
    https://realpython.com are very good in my opinion.
  • Recommended learning resources for rust
    2 projects | /r/rust | 12 Apr 2023
    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.
  • How do I get started with ML?
    2 projects | /r/ChatGPT | 17 Mar 2023
    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.
  • FLOSSing for Lent 12/40 - Python
    2 projects | /r/opensource | 7 Mar 2023
    Real Python - A great place to learn python
  • Donde aprender Python POSTA?
    4 projects | /r/devsarg | 24 Feb 2023
  • Best websites to give me tasks?
    2 projects | /r/Python | 23 Feb 2023
    There's many popular Python educational blogs out there. You can check out RealPython, PythonAlgos, LearnPython, and many more.
  • GitHub - antedoro/arberia: Arberia Theme is a fully responsive tech-blogger theme for Hugo with 4 single post layout!
    2 projects | /r/gohugo | 30 Jan 2023
    Question - Was this theme created by/for realpython.com and they've decided to open source it?
  • A note from our sponsor - SonarLint
    www.sonarlint.org | 8 Jun 2023
    Up your coding game and discover issues early. SonarLint is a free plugin that helps you find & fix bugs and security issues from the moment you start writing code. Install from your favorite IDE marketplace today. Learn more →

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Basic materials repo stats
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5.8
7 days ago

realpython/materials is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of materials is HTML.

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