pip_search
jython
Our great sponsors
| pip_search | jython | |
|---|---|---|
| 2 | 5 | |
| 141 | 1,108 | |
| - | 5.9% | |
| 0.0 | 7.5 | |
| almost 2 years ago | 6 days ago | |
| Python | Python | |
| - | GNU General Public License v3.0 or later |
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.
pip_search
-
This Week in Python
pip_search – Searching thought pip when hard times strike
-
Your python 4 dream list.
For those that are looking for something similar, pip_search has a nice output that works well.
jython
-
how is python actually implemented?
Quick note - CPython is the OG and most popular implementation of Python, but it is not the only implementation of Python. Some other fairly well-known examples are Jython (Java implementation), RustPython (Rust implementation), or the more mind-bending PyPy (Python implemented via Python 🤯). Python is an interpreted language, and you can think of all these different Python implementations as being different implementations of the interpreter itself. The interpreter is the program that takes your Python code and executes it via a virtual machine. This differs from a compiled language (like C) which needs the high-level C code to first be converted to machine code and then executed by the CPU.
- Jython 2.7.3 Released
-
How are Python and C related? I've read that Python is 'made from C'. Does that mean that Python is just an abstraction of lots of large C functions?
The program I linked is the Python interpreter you're probably using, but the abstract set of rules that make up Python are not in any particular way tied to C. You could also use a Java program or a C# program to interpret your Python code. They've even made Python in Python itself, although it uses a more restricted version of Python so it's easier to compile it.
-
Your python 4 dream list.
Check their Github, last commit was 9 days ago.
- Python stands to lose its GIL, and gain a lot of speed
What are some alternatives?
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
graalpython - A Python 3 implementation built on GraalVM
mercury - Convert Jupyter Notebooks to Web Apps
Iron python - Implementation of the Python programming language for .NET Framework; built on top of the Dynamic Language Runtime (DLR).
Blobbackup - Private, Secure Computer Backups
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
django-distill - Minimal configuration static site generator for Django
IronPython - Implementation of Python 3.x for .NET Framework that is built on top of the Dynamic Language Runtime.
wxStocks - wxStocks: Write your own screens, ranking functions, and even high level analysis algorithms to help you review portfolio. Newest release allow SEC XBRL data and more or import your own data by writing your own custom importers. wxStocks is currently in python 3 with a ZODB database.
wasmtime - A fast and secure runtime for WebAssembly
lucet - Lucet, the Sandboxing WebAssembly Compiler.
docs.rs - crates.io documentation generator