materials
Bonus materials, exercises, and example projects for our Python tutorials (by realpython)
adventofcode
Advent of Code solutions of 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 and 2023 in Scala (by sim642)
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materials | adventofcode | |
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199 | 718 | |
4,603 | 65 | |
1.1% | - | |
9.5 | 9.0 | |
6 days ago | 3 months ago | |
HTML | Scala | |
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.
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.
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
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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
adventofcode
Posts with mentions or reviews of adventofcode.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-06.
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-❄️- 2023 Day 6 Solutions -❄️-
On GitHub.
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-🎄- 2022 Day 21 Solutions -🎄-
My Scala solution – to be cleaned up.
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-🎄- 2022 Day 18 Solutions -🎄-
My Scala solution.
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Advent of Code (in MiniScript), Day 17
Welcome back to my series of Advent of Code solutions in MiniScript! In Day 17 we got to (sort of) play Tetris. Five different Tetris-like shapes fall into a pit, moved left or right on each step according to the input. The first task is to see how high this stack will grow after 2022 blocks have been dropped in.
- The Empty List
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Advent of Code (in MiniScript), Day 16
Welcome back to my series of Advent of Code solutions in MiniScript! Day 16 was... how to put this?
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Parsing in nom (AOC day 16)
During this year's Advent of Code I'm trying to improve my Rust skills, especially parsing using nom.
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-🎄- 2022 Day 16 Solutions -🎄-
My Scala solution, not yet cleaned up at all.
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Could someone give me an intermediate python challenge for me to test my knowledge?
If you're self taught I'm sure you'll find something you're not familiar with here: https://adventofcode.com/
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-🎄- 2022 Day 15 Solutions -🎄-
My Scala solution.
What are some alternatives?
When comparing materials and adventofcode you can also consider the following projects:
learnxinyminutes-docs - Code documentation written as code! How novel and totally my idea!
codewars.com - Issue tracker for Codewars
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.
bitburner - Bitburner Game
Exercism - Scala Exercises - Crowd-sourced code mentorship. Practice having thoughtful conversations about code.
LeetCode - This is my LeetCode solutions for all 2000+ problems, mainly written in C++ or Python.
sdk - The Dart SDK, including the VM, dart2js, core libraries, and more.
Advent-of-Code - Advent of Code
flexboxfroggy - A game for learning CSS flexbox 🐸