NumPy
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NumPy | Visual Studio Code | |
---|---|---|
272 | 2,840 | |
26,360 | 158,095 | |
1.9% | 1.0% | |
10.0 | 10.0 | |
about 17 hours ago | 4 days ago | |
Python | TypeScript | |
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.
NumPy
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Dot vs Matrix vs Element-wise multiplication in PyTorch
In NumPy with @, dot() or matmul():
- NumPy 2.0.0 Beta1
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Element-wise vs Matrix vs Dot multiplication
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication.
- JSON dans les projets data science : Trucs & Astuces
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JSON in data science projects: tips & tricks
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:
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Introducing Flama for Robust Machine Learning APIs
numpy: A library for scientific computing in Python
- help with installing numpy, please
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A Comprehensive Guide to NumPy Arrays
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy.
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Why do all the popular projects use relative imports in __init__ files if PEP 8 recommends absolute?
I was looking at all the big projects like numpy, pytorch, flask, etc.
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NumPy 2.0 development status & announcements: major C-API and Python API cleanup
I wish the NumPy devs would more thoroughly consider adding full fluent API support, e.g. x.sqrt().ceil(). [Issue #24081]
Visual Studio Code
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scrape-yahoo-finance
Visual Studio Code (VS Code): Developed by Microsoft, VS Code is a lightweight yet powerful IDE with extensive support for Python development through extensions. It offers features like IntelliSense, debugging, and built-in Git integration.
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XDebug with WP-Setup
In VSCode for example this can be easily done by adding the following .vscode/launch.json file:
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I can't stand using VSCode so I wrote my own (it wasn't easy)
I had a near-identical experience. I looked into switching in 2019 and ran into this 2016 bug which was a showstopper for me. Fixed it myself, grand total 4 line diff. https://github.com/microsoft/vscode/issues/10643
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Employee Management System using Python.
When working in Visual Studio Code (VS Code), always create a new Python file for your project.
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A deep dive into progressive web apps (PWA)
Code Editor: Choose a code editor like Visual Studio Code that offers good support for web technologies and extensions for PWA development.
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Build a Music Player with Python
When working in Visual Studio Code (VS Code), create a new Python file for our music player project. It's helpful to have separate files for different parts of your project.
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Why single vendor is the new proprietary
https://github.com/microsoft/vscode/forks
27,000 people seem to have done so.
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Scrape Redfin Property Data
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python.
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"Just Start!" - A double-edged sword.
I was doing it all wrong, designing and developing on the fly, using the same tool - VScode; Making one step forward and ten back when I mess up with good code while trying to get rid of the bad. I had gotten away with it for three pages, but it had finally caught up with me.
- Zed Multibuffers not planned for VSCode
What are some alternatives?
SymPy - A computer algebra system written in pure Python
thonny - Python IDE for beginners
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
reactide - Reactide is the first dedicated IDE for React web application development.
blaze - NumPy and Pandas interface to Big Data
Spyder - Official repository for Spyder - The Scientific Python Development Environment
SciPy - SciPy library main repository
doom-emacs - An Emacs framework for the stubborn martian hacker [Moved to: https://github.com/doomemacs/doomemacs]
Numba - NumPy aware dynamic Python compiler using LLVM
KDevelop - Cross-platform IDE for C, C++, Python, QML/JavaScript and PHP
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
vscodium - binary releases of VS Code without MS branding/telemetry/licensing