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PeachPy: A Python Framework for Developing High-Performance Assembly Kernels (2013) (dlr.de)

Stories related to "PeachPy: A Python Framework for Developing High-Performance Assembly Kernels (2013)" across the full archive.

PeachPy: A Python Framework for Developing High-Performance Assembly Kernels (2013) (dlr.de)
npyscreen - Python application framework for ncurses console apps (code.google.com)
Cory Benfield wrote an HTTP2 framework in Python and compared it with HTTP1 (nbviewer.ipython.org)
PeachPy: Assembly Code Generation in High-Level Python (github.com)
ButterflyNet – Fully async networking framework for Python 3.4 (github.com)
Python for high performance scientific computing (nbviewer.jupyter.org)
How to Use Python to Teach High School Physics (wired.com)
Chalice: Python serverless microframework for AWS Lambda (github.com)
API Star: A fast and expressive API framework, designed for Python 3 (github.com)
HyperTools: A python toolbox for visualizing and manipulating high-dimensional data (hypertools.readthedocs.io)
Quick Tip: Speed up your Python data processing scripts with Process Pools (medium.com)
Reducing Python's startup time (lwn.net)
Numba: High-Performance Python with CUDA Acceleration (devblogs.nvidia.com)
Python’s Weak Performance Matters (metarabbit.wordpress.com)
Incrementally improving the performance of a python script (mycode.doesnot.run)
Python startup time: milliseconds matter (mail.python.org)
Python vs NumPy vs Nim (narimiran.github.io)
molten, a modern API framework for Python (moltenframework.com)
I've been working on this for a bit now and felt it was finally at a point where I could share it. I'd love to get any feedback!
Optimizing a Python application with C++ code (antlarr.io)
RPC Frameworks: gRPC vs Thrift vs RPyC for python (hardikp.com)
Lazy Interfaces in Python (github.com)
I've been toying with the idea of lazy execution and wrote a small library to play with the concept. I personally find the paradigm quite powerful and would like to hear some thoughts from you all about it.
An HTTP Service Framework from the author of Python Requests (python-responder.org)
Secure headers and cookies for Python web frameworks (github.com)
Secure is a lightweight package that adds optional security headers and cookie attributes for Python web frameworks.
Porting Synapse to Python 3 (matrix.org)
Matrix.org's reference implementation (Synapse) is now compatible with python 3. This talks about their reason for porting, performance gains, and how their code is still compatible with python 2.
What I've Learned About Optimizing Python (gregoryszorc.com)
An overview of performance issues with Python and how to work around them.
High-Performance in Python with Zero-Copy and the Buffer Protocol (julien.danjou.info)
A Neural Network framework in 25 lines of Python (gist.github.com)
The CPython Bytecode Compiler is Dumb (nullprogram.com)
Parallel computation in Python with Dask (opensource.com)
Choosing a faster JSON library for Python (pythonspeed.com)