advent-of-code-jq VS materials

Compare advent-of-code-jq vs materials and see what are their differences.

materials

Bonus materials, exercises, and example projects for our Python tutorials (by realpython)
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advent-of-code-jq materials
231 199
203 4,632
- 1.1%
7.8 9.5
4 months ago 1 day ago
jq HTML
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

advent-of-code-jq

Posts with mentions or reviews of advent-of-code-jq. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-29.

materials

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 2024-02-15.
  • Think Python, 3rd Edition
    3 projects | news.ycombinator.com | 15 Feb 2024
  • Collection of resources to get started on your programming journey
    8 projects | /r/TeenDevsIndia | 10 Dec 2023
    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?
    2 projects | /r/learnpython | 9 Dec 2023
  • 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

What are some alternatives?

When comparing advent-of-code-jq and materials you can also consider the following projects:

learnxinyminutes-docs - Code documentation written as code! How novel and totally my idea!

missing-semester - The Missing Semester of Your CS Education 📚

developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.

codewars.com - Issue tracker for Codewars

sdk - The Dart SDK, including the VM, dart2js, core libraries, and more.

flexboxfroggy - A game for learning CSS flexbox 🐸

peps - Python Enhancement Proposals

futurecoder - 100% free and interactive Python course for beginners

W3Schools - W3Schools Full Offline Version

awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.

LeetCode - This is my LeetCode solutions for all 2000+ problems, mainly written in C++ or Python.

computer-science - :mortar_board: Path to a free self-taught education in Computer Science!