mlcourse.ai
missing-semester
| mlcourse.ai | missing-semester | |
|---|---|---|
| 85 | 375 | |
| 9,470 | 4,718 | |
| - | 1.4% | |
| 3.4 | 6.6 | |
| 5 months ago | 3 days ago | |
| Python | CSS | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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mlcourse.ai
missing-semester
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Ask HN: I want to learn to use the terminal, where do I start
The missing semester of your cs education
https://missing.csail.mit.edu/
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Please advise, still struggling intensely
You mentioned having issues with accessory concepts so perhaps this might help: https://missing.csail.mit.edu/. There's also a chapter on git
- Curso del IPN
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CS2030S and CS2040S advice
https://missing.csail.mit.edu/ is a good way to pass the Dec-Jan break if you want to prep for CS2030S + some more general stuff.
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I cancelled my Replit subscription
Reflecting a little bit more I don't think it was replit's fault, per-say. But that change should have been made together with a larger adjustment to the program. Like adding a class/unit in the style of [the missing semester](https://missing.csail.mit.edu/) to make sure people came away with a good range of intuitions.
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Advice to a Novice Programmer
From MJD's post: I think CS curricula should have a class that focuses specifically on these issues, on the matter of how do you actually write software?
But they never do.
FWIW, MIT's "The Missing Semester of Your CS Education" attempts to deal with this lack, though, even there, it's an unofficial course taught between terms, during MIT's IAP -- Independent Activities Period[1] -- and not an actual CS course.
[0] https://missing.csail.mit.edu/
[1] https://en.wikipedia.org/wiki/Traditions_and_student_activit...
- School of SRE: Curriculum for onboarding non-traditional hires and new grads
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Advice / Resources from a "Seasoned Beginner"
Link to the "missing semester of your CS degree" course by MIT.
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MIT's Missing Semester Class: Beyond the CS Curriculum
Rightly called The Missing Semester (of Your CS Education), this class from MIT will teach you how to use some of the tools that are fundamental to the software engineering ecosystem. From shell scripting to the fundamentals of information security—spanning around 12 lectures—you can add a bunch of practical skills to your toolbox.
- ¿Recomendaciones sobre que aprender?
What are some alternatives?
attractors - Package for simulation and visualization of strange attractors.
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!
napari - napari: a fast, interactive, multi-dimensional image viewer for python
computer-science - :mortar_board: Path to a free self-taught education in Computer Science!
concrete-numpy - Concrete-Numpy: A library to turn programs into their homomorphic equivalent.
CS50x-2021 - 🎓 HarvardX: CS50 Introduction to Computer Science (CS50x)
GreyNSights - Privacy-Preserving Data Analysis using Pandas
vimrc - The ultimate Vim configuration (vimrc)
hiitpi - A workout trainer Dash/Flask app that helps track your HIIT workouts by analyzing real-time video streaming from your sweet Pi using machine learning and Edge TPU..
javascript - JavaScript Style Guide
quaternion - Add built-in support for quaternions to numpy
materials - Bonus materials, exercises, and example projects for our Python tutorials