missing-semester
PythonDataScienceHandbook
Our great sponsors
missing-semester | PythonDataScienceHandbook | |
---|---|---|
374 | 98 | |
4,679 | 41,364 | |
1.2% | - | |
6.8 | 1.0 | |
about 2 months ago | 18 days ago | |
CSS | Jupyter Notebook | |
GNU General Public License v3.0 or later | MIT License |
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.
missing-semester
-
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
-
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.
-
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.
-
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
-
Advice / Resources from a "Seasoned Beginner"
Link to the "missing semester of your CS degree" course by MIT.
- ¿Recomendaciones sobre que aprender?
- Was soll ich lernen??
-
Help with starting a project in Visual Studio Code- and file management?
No clue, dude. To learn the terminal and git I think you should go through this: https://missing.csail.mit.edu/
-
What are some senior level learning resources you recommend for improving as a backend engineer?
The Missing Semester of Your CS Education. Basic but very useful stuff.
PythonDataScienceHandbook
-
About Data analyst, data scientist and data engineer, resources and experiences
Python Data Science Handbook
-
Other programing options?
Python Data Science Handbook by Jake VanderPlas (https://jakevdp.github.io/PythonDataScienceHandbook/)
-
Mastering Data Science: Top 10 GitHub Repos You Need to Know
7. Data Science Handbook Are you looking for a comprehensive guide to data science with Python? Look no further than the Data Science Handbook by Jake VanderPlas. This repository contains the entire book, which introduces essential tools and techniques used in data science, including IPython, NumPy, Pandas, Matplotlib, and Scikit-Learn. It’s a fantastic resource for anyone looking to deepen their understanding of data science concepts and best practices.
- Resources for Current DE Interested in Learning Data Science
- What are the best Python libraries to learn for beginners?
-
Best Websites For Coders
Data Science course : Python Data Science Handbook
- What are some good useful libraries I can get the hang of?
-
I learnt all the basics about python and had interest in learning about "AI development with python". and now I'm stuck cuz I don't know where to start. Can anyone give some advice to me ?
Something that helped me get started is this git repo: https://github.com/jakevdp/PythonDataScienceHandbook/tree/master/notebooks It covers all the basics of data analysis using numpy, pandas and matplotlib.
-
Learn Python with CFB tutorial
Thanks! Will do. I work full time on data engineering/geospatial big data analytics, so I haven't had the energy to do this in the evenings or weekends yet. I do plenty of work with regression (but not in an MLOps sense) and dimensionality reduction (we do PCA). So in my mind my gap is (1) actual neural network work and (2) familiarity with workflows using e.g. pytorch or scikit-learn or something similar. Any pointers on where to get started resource-wise? Been thinking of starting with Ch.5 here and moving on from that: https://jakevdp.github.io/PythonDataScienceHandbook/. I have some projects in mind (including some predictive CFB model) so will start that up on the side while doing some of these tutorials.
-
What programming language should I learn and what skills should I learn
Yeah! Ofc. So for R: https://r4ds.had.co.nz Python: https://jakevdp.github.io/PythonDataScienceHandbook/ SQL: I had to get a book, but this would be a good place to start: https://datascience.foundation/sciencewhitepaper/sql-for-data-science
What are some alternatives?
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!
CS50x-2021 - 🎓 HarvardX: CS50 Introduction to Computer Science (CS50x)
vimrc - The ultimate Vim configuration (vimrc)
javascript - JavaScript Style Guide
materials - Bonus materials, exercises, and example projects for our Python tutorials
flexboxfroggy - A game for learning CSS flexbox 🐸
Projects-Solutions - :pager: Links to others' solutions to Projects (https://github.com/karan/Projects/)
django-livereload-server - Livereload functionality integrated with your Django development environment.
Exercism - Scala Exercises - Crowd-sourced code mentorship. Practice having thoughtful conversations about code.
developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Code-Server - VS Code in the browser