missing-semester VS materials

Compare missing-semester vs materials and see what are their differences.


The Missing Semester of Your CS Education 📚 (by missing-semester)


Bonus materials, exercises, and example projects for our Python tutorials (by realpython)
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missing-semester materials
320 175
3,800 4,176
5.2% 1.9%
3.1 7.7
2 days ago 6 days ago
GNU General Public License v3.0 or later 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.


Posts with mentions or reviews of missing-semester. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-16.
  • Speak English to me, The secret World of Programmers
    7 projects | news.ycombinator.com | 16 Mar 2023
    > The realization came a few weeks ago when someone shared The Missing Semester of Comp Sci on HN. It’s full of basic things you’d expect any programmer to somehow magically know … but they don’t learn this anymore. https://missing.csail.mit.edu/

    I do feel somewhat jealous though that these resources are now available for students to learn in a structured, borderline spoon-fed way when this stuff took me a number of years and hacking around to build up and gain muscle memory over. Still, I think the knowledge you struggle to learn yourself sticks around a lot longer than knowledge that was fed to you from school. :shrug: I could see it either way.

    7 projects | news.ycombinator.com | 16 Mar 2023
    > "Why does it have to be so complicated? I just want to install a program"

    > "Why would you do that in the command line? It's way easier using $Program"

    A concerning observation that’s slowly dawning on me is that more and more programmers don’t know how computers work. They can write code, build software, and do lots of useful things. But they have no idea how computers work. They’re more akin to lusers as we used to call them than they are to hackers of old.

    Fantastic at their specialty and the tools they use. But move a button to an unfamiliar place or throw them into a new (but fundamentally same) environment and they’re lost.

    The realization came a few weeks ago when someone shared The Missing Semester of Comp Sci on HN. It’s full of basic things you’d expect any programmer to somehow magically know … but they don’t learn this anymore. https://missing.csail.mit.edu/

    Seeing that link shared connected the dots in my mind. I’ve been wondering for months ”Why does everyone at work have so many random local environment issues all the time?” … it’s been working fine for me for years. Same code and hardware. ¯\_(ツ)_/¯

  • [CSE] Resource list
    5 projects | reddit.com/r/Btechtards | 6 Mar 2023
  • The Missing Semester of Your CS Education
    2 projects | reddit.com/r/programming | 1 Mar 2023
    3 projects | news.ycombinator.com | 24 Feb 2023
  • Advice to be more efficient with the terminal?
    12 projects | reddit.com/r/ExperiencedDevs | 27 Feb 2023
    This is a webpage I refer people often to: https://missing.csail.mit.edu/
  • How much “programming” should I know?
    3 projects | reddit.com/r/learnprogramming | 15 Feb 2023
    This from MIT is called "The missing semester of your CS education" and provides some practical hands on skills like Git https://missing.csail.mit.edu/
  • Do I need to have a lot of command line knowledge in order to learn Vim?
    3 projects | reddit.com/r/vim | 15 Feb 2023
    The Missing Semester: Made to address shortcomings in software engineers and teacher Vim.
    3 projects | reddit.com/r/vim | 15 Feb 2023
  • Software Development Engineers
    3 projects | reddit.com/r/ProgrammingBuddies | 15 Feb 2023


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 2023-03-17.
  • How do I get started with ML?
    2 projects | reddit.com/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 | reddit.com/r/opensource | 7 Mar 2023
    Real Python - A great place to learn python
  • Donde aprender Python POSTA?
    4 projects | reddit.com/r/devsarg | 24 Feb 2023
  • Best websites to give me tasks?
    2 projects | reddit.com/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 | reddit.com/r/gohugo | 30 Jan 2023
    Question - Was this theme created by/for realpython.com and they've decided to open source it?
  • Pythont tanulni ?
    2 projects | reddit.com/r/programmingHungary | 30 Jan 2023
  • Best Communities For Developers To Join
    5 projects | dev.to | 25 Jan 2023
    The Real Python is one of the most valuable resources for any budding Python developer — housing thousands of professional video lessons and tutorials on every aspect of the popular programming language.
  • Best resources to study Python
    5 projects | reddit.com/r/learnpython | 24 Jan 2023
  • Data Science - Que curso online recomendam para Python e Machine Learning?
    2 projects | reddit.com/r/devpt | 16 Jan 2023
  • Discussion Thread
    2 projects | reddit.com/r/neoliberal | 9 Jan 2023
    Real Python

What are some alternatives?

When comparing missing-semester and materials you can also consider the following projects:

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!

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

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

CS50x-2021 - 🎓 HarvardX: CS50 Introduction to Computer Science (CS50x)

codewars.com - Issue tracker for Codewars

javascript - JavaScript Style Guide

Projects-Solutions - :pager: Links to others' solutions to Projects (https://github.com/karan/Projects/)

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

flexboxfroggy - A game for learning CSS flexbox 🐸

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