Bulbflow: a Python Framework for the Graph EraDiscover Bulbflow, a cutting-edge Python framework designed for the Graph Era. Unleash the power of graph data with advanced tools, seamless integration, and efficient workflows.
pandas - Python Data Analysis Library
pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. Install pandas now!
Ibis: Python Data Analysis Productivity Framework
An open source dataframe library that works with any data system Use the same API for nearly 20 backends Fast local dataframes with embedded DuckDB (default), Polars, or DataFusion Iterate locally and deploy remotely by changing a single line of code Compose SQL and Python dataframe code, bridging the gap between data engineering and data science Ibis: the portable Python dataframe library Ibis of
A better namedtuple for Python (?)
Python's namedtuple factory function is, perhaps, the most under utilised feature in Python. Classes created using the namedtuple are great because they lead to immutable object (as compared to normal classes which lead to mutable objects). The goal of this blog post isn’t to convince you that immutable objetcs are a good thing, but take a bit of a deep dive into the namedtuple construct and explo
profile, cProfile, and pstats – Performance analysis of Python programs. - Python Module of the Week
If you find this information useful, consider picking up a copy of my book, The Python Standard Library By Example. Page Contents profile, cProfile, and pstats – Performance analysis of Python programs. run() runctx() pstats: Saving and Working With Statistics Limiting Report Contents Caller / Callee Graphs Navigation Table of Contents Previous: Debugging and Profiling Next: timeit – Time the exec
Deciding if a Point is Inside a Polygon - Pure Python
This is not a particularly tricky problem, but there wasn't a Python solution on the net when I went looking. I've simply adapted some C code I found at this excellent page. # determine if a point is inside a given polygon or not # Polygon is a list of (x,y) pairs. def point_inside_polygon(x,y,poly): n = len(poly) inside =False p1x,p1y = poly[0] for i in range(n+1): p2x,p2y = poly[i % n] if y > mi
Nicholas Piël » Benchmark of Python Web Servers
It has been a while since the Socket Benchmark of Asynchronous server. That benchmark looked specifically at the raw socket performance of various frameworks. Which was being benchmarked by doing a regular HTTP request against the TCP server. The server itself was dumb and did not actually understand the headers being send to it. In this benchmark i will be looking at how different WSGI servers pe
Functional Programming with Python
by Alexey Kachayev, 2012 About me Position: CTO at Kitapps Inc. Production experience: Python, Java, JS, Go, Scala, Clojure, Erlang Looked at: Haskell, Lisp, Scheme Goals Short functional paradigm presentation Dispel popular myths about FP Characterize Python & FP relations Why should I care? How can I make my code better? More How, less Why About functional Imperative programming (С/C++, Java) De
CodernityDB pure python, fast, NoSQL database — CodernityDB
CodernityDB pure python, fast, NoSQL database¶ CodernityDB is opensource, pure Python (no 3rd party dependency), fast (even 100 000 insert and more than 100 000 get operations per second, check Speed if you don’t believe in words), multi platform, schema-less, NoSQL database. You can also call it a more advanced key-value database, with multiple key-values indexes in the same engine (for sure it’s
PyStruct - Structured Learning in Python — pystruct 0.2.4 documentation
PyStruct - Structured Learning in Python¶ PyStruct aims at being an easy-to-use structured learning and prediction library. Currently it implements only max-margin methods and a perceptron, but other algorithms might follow. The learning algorithms implemented in PyStruct have various names, which are often used loosely or differently in different communities. Common names are conditional random f
Passlib 1.7.1 documentation — Passlib v1.7.1 Documentation
Welcome¶ Passlib is a password hashing library for Python 2 & 3, which provides cross-platform implementations of over 30 password hashing algorithms, as well as a framework for managing existing password hashes. It’s designed to be useful for a wide range of tasks, from verifying a hash found in /etc/shadow, to providing full-strength password hashing for multi-user application. As a quick sample
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GitHub - iiSeymour/chromote: Simple wrapper to drive Google Chrome from Python
GitHub - n1nj4sec/pupy: Pupy is an opensource, cross-platform (Windows, Linux, OSX, Android) C2 and post-exploitation framework written in python and C
GitHub - what-studio/profiling: Was an interactive continuous Python profiler.
GitHub - kachayev/fn.py: Functional programming in Python: implementation of missing features to enjoy FP
GitHub - python-pillow/Pillow: Python Imaging Library (Fork)
GitHub - sebastien/cuisine: Chef-like functionality for Fabric
GitHub - google/gumbo-parser: An HTML5 parsing library in pure C99
PyZMQ docs have moved
GitHub - benoitc/uzmq: libuv interface for ZeroMQ