#cython — Public Fediverse posts

Does the #GDB extension for #Cython really require me to build GDB with #Python 2 in the year 2026?

Does the #GDB extension for #Cython really require me to build GDB with #Python 2 in the year 2026?

Does the #GDB extension for #Cython really require me to build GDB with #Python 2 in the year 2026?

Does the #GDB extension for #Cython really require me to build GDB with #Python 2 in the year 2026?

Does the #GDB extension for #Cython really require me to build GDB with #Python 2 in the year 2026?

New update for my #python #multipart #parser #benchmark:

https://defnull.de/2026/python-multipart-benchmark/

The benchmark tests and compares the most commonly used Python parsers for multipart/form-data (HTML5 forms) in different scenarios, including a #rust parser and a #cython parser. The results may surprise you :awesome:

Disclaimer: I'm the author of the 'multipart' library.

New update for my #python #multipart #parser #benchmark:

https://defnull.de/2026/python-multipart-benchmark/

The benchmark tests and compares the most commonly used Python parsers for multipart/form-data (HTML5 forms) in different scenarios, including a #rust parser and a #cython parser. The results may surprise you :awesome:

Disclaimer: I'm the author of the 'multipart' library.

New update for my #python #multipart #parser #benchmark:

https://defnull.de/2026/python-multipart-benchmark/

The benchmark tests and compares the most commonly used Python parsers for multipart/form-data (HTML5 forms) in different scenarios, including a #rust parser and a #cython parser. The results may surprise you :awesome:

Disclaimer: I'm the author of the 'multipart' library.

New update for my #python #multipart #parser #benchmark:

https://defnull.de/2026/python-multipart-benchmark/

The benchmark tests and compares the most commonly used Python parsers for multipart/form-data (HTML5 forms) in different scenarios, including a #rust parser and a #cython parser. The results may surprise you :awesome:

Disclaimer: I'm the author of the 'multipart' library.

New update for my #python #multipart #parser #benchmark:

https://defnull.de/2026/python-multipart-benchmark/

The benchmark tests and compares the most commonly used Python parsers for multipart/form-data (HTML5 forms) in different scenarios, including a #rust parser and a #cython parser. The results may surprise you :awesome:

Disclaimer: I'm the author of the 'multipart' library.

https://blog.gslin.org/archives/2026/03/19/12941/%e5%be%88%e5%a4%9a-python-%e5%8a%a0%e9%80%9f%e7%9a%84%e6%96%b9%e6%b3%95/

很多 Python 加速的方法

#c #code #codon #compiler #cpython #cython #graalpy #jax #mojo #mypyc #native #numba #numpy #performance #pyo3 #pypy #python #rust #speed #taichi

https://blog.gslin.org/archives/2026/03/19/12941/%e5%be%88%e5%a4%9a-python-%e5%8a%a0%e9%80%9f%e7%9a%84%e6%96%b9%e6%b3%95/

很多 Python 加速的方法

#c #code #codon #compiler #cpython #cython #graalpy #jax #mojo #mypyc #native #numba #numpy #performance #pyo3 #pypy #python #rust #speed #taichi

https://blog.gslin.org/archives/2026/03/19/12941/%e5%be%88%e5%a4%9a-python-%e5%8a%a0%e9%80%9f%e7%9a%84%e6%96%b9%e6%b3%95/

很多 Python 加速的方法

#c #code #codon #compiler #cpython #cython #graalpy #jax #mojo #mypyc #native #numba #numpy #performance #pyo3 #pypy #python #rust #speed #taichi

https://blog.gslin.org/archives/2026/03/19/12941/%e5%be%88%e5%a4%9a-python-%e5%8a%a0%e9%80%9f%e7%9a%84%e6%96%b9%e6%b3%95/

很多 Python 加速的方法

#c #code #codon #compiler #cpython #cython #graalpy #jax #mojo #mypyc #native #numba #numpy #performance #pyo3 #pypy #python #rust #speed #taichi

https://blog.gslin.org/archives/2026/03/19/12941/%e5%be%88%e5%a4%9a-python-%e5%8a%a0%e9%80%9f%e7%9a%84%e6%96%b9%e6%b3%95/

很多 Python 加速的方法

#c #code #codon #compiler #cpython #cython #graalpy #jax #mojo #mypyc #native #numba #numpy #performance #pyo3 #pypy #python #rust #speed #taichi

#Cython promises to make "writing #C extensions for Python as easy as #Python itself." The reality is: learn C's mental model, express it in Python syntax, and use a separate diagnostic tool to verify.
https://github.com/cemrehancavdar/faster-python-bench/blob/main/docs/cython-minefield.md

#Cython promises to make "writing #C extensions for Python as easy as #Python itself." The reality is: learn C's mental model, express it in Python syntax, and use a separate diagnostic tool to verify.
https://github.com/cemrehancavdar/faster-python-bench/blob/main/docs/cython-minefield.md

#Cython promises to make "writing #C extensions for Python as easy as #Python itself." The reality is: learn C's mental model, express it in Python syntax, and use a separate diagnostic tool to verify.
https://github.com/cemrehancavdar/faster-python-bench/blob/main/docs/cython-minefield.md

#Cython promises to make "writing #C extensions for Python as easy as #Python itself." The reality is: learn C's mental model, express it in Python syntax, and use a separate diagnostic tool to verify.
https://github.com/cemrehancavdar/faster-python-bench/blob/main/docs/cython-minefield.md

#Cython promises to make "writing #C extensions for Python as easy as #Python itself." The reality is: learn C's mental model, express it in Python syntax, and use a separate diagnostic tool to verify.
https://github.com/cemrehancavdar/faster-python-bench/blob/main/docs/cython-minefield.md

#borgbackup 2.0.0b20 was just released!

There is quite some new stuff and also some fixes, please help with testing the betas!

https://github.com/borgbackup/borg/releases/tag/2.0.0b20

#backup #linux #bsd #macOS #openindiana #haiku #python #cython #borg

#borgbackup 2.0.0b20 was just released!

There is quite some new stuff and also some fixes, please help with testing the betas!

https://github.com/borgbackup/borg/releases/tag/2.0.0b20

#backup #linux #bsd #macOS #openindiana #haiku #python #cython #borg

#borgbackup 2.0.0b20 was just released!

There is quite some new stuff and also some fixes, please help with testing the betas!

https://github.com/borgbackup/borg/releases/tag/2.0.0b20

#backup #linux #bsd #macOS #openindiana #haiku #python #cython #borg

#borgbackup 2.0.0b20 was just released!

There is quite some new stuff and also some fixes, please help with testing the betas!

https://github.com/borgbackup/borg/releases/tag/2.0.0b20

#backup #linux #bsd #macOS #openindiana #haiku #python #cython #borg

#borgbackup 2.0.0b20 was just released!

There is quite some new stuff and also some fixes, please help with testing the betas!

https://github.com/borgbackup/borg/releases/tag/2.0.0b20

#backup #linux #bsd #macOS #openindiana #haiku #python #cython #borg

🐍👨‍💻 #PythoC — це новий проєкт, який дозволяє використовувати Python як генератор C-коду, пропонуючи більше можливостей і гнучкості, ніж #Cython. Це перший огляд нового інструмента генерації C-коду з #Python, орієнтованого передусім на створення самостійних C-програм.

🔗 https://proit.ua/pythoc-novi-mozhlivosti-ghienieratsiyi-c-kodu/
🔗 https://www.infoworld.com/article/4101101/pythoc-a-new-way-to-generate-c-code-from-python.html

🐍👨‍💻 #PythoC — це новий проєкт, який дозволяє використовувати Python як генератор C-коду, пропонуючи більше можливостей і гнучкості, ніж #Cython. Це перший огляд нового інструмента генерації C-коду з #Python, орієнтованого передусім на створення самостійних C-програм.

🔗 https://proit.ua/pythoc-novi-mozhlivosti-ghienieratsiyi-c-kodu/
🔗 https://www.infoworld.com/article/4101101/pythoc-a-new-way-to-generate-c-code-from-python.html

🐍👨‍💻 #PythoC — це новий проєкт, який дозволяє використовувати Python як генератор C-коду, пропонуючи більше можливостей і гнучкості, ніж #Cython. Це перший огляд нового інструмента генерації C-коду з #Python, орієнтованого передусім на створення самостійних C-програм.

🔗 https://proit.ua/pythoc-novi-mozhlivosti-ghienieratsiyi-c-kodu/
🔗 https://www.infoworld.com/article/4101101/pythoc-a-new-way-to-generate-c-code-from-python.html

🐍👨‍💻 #PythoC — це новий проєкт, який дозволяє використовувати Python як генератор C-коду, пропонуючи більше можливостей і гнучкості, ніж #Cython. Це перший огляд нового інструмента генерації C-коду з #Python, орієнтованого передусім на створення самостійних C-програм.

🔗 https://proit.ua/pythoc-novi-mozhlivosti-ghienieratsiyi-c-kodu/
🔗 https://www.infoworld.com/article/4101101/pythoc-a-new-way-to-generate-c-code-from-python.html

🐍👨‍💻 #PythoC — це новий проєкт, який дозволяє використовувати Python як генератор C-коду, пропонуючи більше можливостей і гнучкості, ніж #Cython. Це перший огляд нового інструмента генерації C-коду з #Python, орієнтованого передусім на створення самостійних C-програм.

🔗 https://proit.ua/pythoc-novi-mozhlivosti-ghienieratsiyi-c-kodu/
🔗 https://www.infoworld.com/article/4101101/pythoc-a-new-way-to-generate-c-code-from-python.html

Does anyone know of a good overview how much overhead using ctypes to call functions from a dynamic library adds to #python code instead of building a native extension e.g via #cython #pybind11 or #nanobind ?

A blog post with some statistics would be perfect but just ballpark figures from anyone who knows what they are talking about is fine

Does anyone know of a good overview how much overhead using ctypes to call functions from a dynamic library adds to #python code instead of building a native extension e.g via #cython #pybind11 or #nanobind ?

A blog post with some statistics would be perfect but just ballpark figures from anyone who knows what they are talking about is fine

Does anyone know of a good overview how much overhead using ctypes to call functions from a dynamic library adds to #python code instead of building a native extension e.g via #cython #pybind11 or #nanobind ?

A blog post with some statistics would be perfect but just ballpark figures from anyone who knows what they are talking about is fine

Does anyone know of a good overview how much overhead using ctypes to call functions from a dynamic library adds to #python code instead of building a native extension e.g via #cython #pybind11 or #nanobind ?

A blog post with some statistics would be perfect but just ballpark figures from anyone who knows what they are talking about is fine

Does anyone know of a good overview how much overhead using ctypes to call functions from a dynamic library adds to #python code instead of building a native extension e.g via #cython #pybind11 or #nanobind ?

A blog post with some statistics would be perfect but just ballpark figures from anyone who knows what they are talking about is fine

I have officially started working as the training coordinator at #MimerAIF (https://mimer-ai.eu/). What better way to kick things off than a course?! These days I am teaching parts of the #PythonForScicomp course in partnership with @coderefinery and @SciCompAalto.

Tomorrow is the last day of the course, but you can still join!

https://scicomp.aalto.fi/training/scip/python-for-scicomp-2025/

I will be covering the episodes on #Cython and #Packaging.

I have officially started working as the training coordinator at #MimerAIF (https://mimer-ai.eu/). What better way to kick things off than a course?! These days I am teaching parts of the #PythonForScicomp course in partnership with @coderefinery and @SciCompAalto.

Tomorrow is the last day of the course, but you can still join!

https://scicomp.aalto.fi/training/scip/python-for-scicomp-2025/

I will be covering the episodes on #Cython and #Packaging.

I have officially started working as the training coordinator at #MimerAIF (https://mimer-ai.eu/). What better way to kick things off than a course?! These days I am teaching parts of the #PythonForScicomp course in partnership with @coderefinery and @SciCompAalto.

Tomorrow is the last day of the course, but you can still join!

https://scicomp.aalto.fi/training/scip/python-for-scicomp-2025/

I will be covering the episodes on #Cython and #Packaging.

Fuzzing pyhacl (https://codeberg.org/drlazor8/pyhacl), a package of Cython bindings for HACL* (the High Assurance Cryptographic Library), with fusil we only found one crash.

It turned out to actually be a silly bug in #Cython:

Issue: https://github.com/cython/cython/issues/7263

Fix: https://github.com/cython/cython/pull/7264

Goes to show how fuzzing a C-extension can uncover crashes in many different layers.

Thanks @drlazor8 for taking up the call for C-extensions maintainers to fuzz their code.

#fusil #Python #pyhacl #hacl #fuzzing #fuzzer

Fuzzing pyhacl (https://codeberg.org/drlazor8/pyhacl), a package of Cython bindings for HACL* (the High Assurance Cryptographic Library), with fusil we only found one crash.

It turned out to actually be a silly bug in #Cython:

Issue: https://github.com/cython/cython/issues/7263

Fix: https://github.com/cython/cython/pull/7264

Goes to show how fuzzing a C-extension can uncover crashes in many different layers.

Thanks @drlazor8 for taking up the call for C-extensions maintainers to fuzz their code.

#fusil #Python #pyhacl #hacl #fuzzing #fuzzer

Fuzzing pyhacl (https://codeberg.org/drlazor8/pyhacl), a package of Cython bindings for HACL* (the High Assurance Cryptographic Library), with fusil we only found one crash.

It turned out to actually be a silly bug in #Cython:

Issue: https://github.com/cython/cython/issues/7263

Fix: https://github.com/cython/cython/pull/7264

Goes to show how fuzzing a C-extension can uncover crashes in many different layers.

Thanks @drlazor8 for taking up the call for C-extensions maintainers to fuzz their code.

#fusil #Python #pyhacl #hacl #fuzzing #fuzzer

Fuzzing pyhacl (https://codeberg.org/drlazor8/pyhacl), a package of Cython bindings for HACL* (the High Assurance Cryptographic Library), with fusil we only found one crash.

It turned out to actually be a silly bug in #Cython:

Issue: https://github.com/cython/cython/issues/7263

Fix: https://github.com/cython/cython/pull/7264

Goes to show how fuzzing a C-extension can uncover crashes in many different layers.

Thanks @drlazor8 for taking up the call for C-extensions maintainers to fuzz their code.

#fusil #Python #pyhacl #hacl #fuzzing #fuzzer

Fuzzing pyhacl (https://codeberg.org/drlazor8/pyhacl), a package of Cython bindings for HACL* (the High Assurance Cryptographic Library), with fusil we only found one crash.

It turned out to actually be a silly bug in #Cython:

Issue: https://github.com/cython/cython/issues/7263

Fix: https://github.com/cython/cython/pull/7264

Goes to show how fuzzing a C-extension can uncover crashes in many different layers.

Thanks @drlazor8 for taking up the call for C-extensions maintainers to fuzz their code.

#fusil #Python #pyhacl #hacl #fuzzing #fuzzer

Ah, the timeless quest for speed: From #Cython to #Mojo, because obviously what we all need is yet another layer of #complexity to solve the crippling issue of Python's infamous sloth 🐢🔥. Nothing says "a productive day" like translating code from one esoteric dialect to another while dreaming of the #performance gains that never quite materialize 🚀😂.
https://fnands.com/blog/2025/sklearn-mojo-dbscan-inner/ #Python #Speed #HackerNews #ngated

Ah, the timeless quest for speed: From #Cython to #Mojo, because obviously what we all need is yet another layer of #complexity to solve the crippling issue of Python's infamous sloth 🐢🔥. Nothing says "a productive day" like translating code from one esoteric dialect to another while dreaming of the #performance gains that never quite materialize 🚀😂.
https://fnands.com/blog/2025/sklearn-mojo-dbscan-inner/ #Python #Speed #HackerNews #ngated

Ah, the timeless quest for speed: From #Cython to #Mojo, because obviously what we all need is yet another layer of #complexity to solve the crippling issue of Python's infamous sloth 🐢🔥. Nothing says "a productive day" like translating code from one esoteric dialect to another while dreaming of the #performance gains that never quite materialize 🚀😂.
https://fnands.com/blog/2025/sklearn-mojo-dbscan-inner/ #Python #Speed #HackerNews #ngated

Ah, the timeless quest for speed: From #Cython to #Mojo, because obviously what we all need is yet another layer of #complexity to solve the crippling issue of Python's infamous sloth 🐢🔥. Nothing says "a productive day" like translating code from one esoteric dialect to another while dreaming of the #performance gains that never quite materialize 🚀😂.
https://fnands.com/blog/2025/sklearn-mojo-dbscan-inner/ #Python #Speed #HackerNews #ngated

Ah, the timeless quest for speed: From #Cython to #Mojo, because obviously what we all need is yet another layer of #complexity to solve the crippling issue of Python's infamous sloth 🐢🔥. Nothing says "a productive day" like translating code from one esoteric dialect to another while dreaming of the #performance gains that never quite materialize 🚀😂.
https://fnands.com/blog/2025/sklearn-mojo-dbscan-inner/ #Python #Speed #HackerNews #ngated

Translating Cython to Mojo, a first attempt

https://fnands.com/blog/2025/sklearn-mojo-dbscan-inner/

#HackerNews #Translating #Cython #to #Mojo #MojoProgramming #CythonTranslation #TechInnovation #SoftwareDevelopment

Translating Cython to Mojo, a first attempt

https://fnands.com/blog/2025/sklearn-mojo-dbscan-inner/

#HackerNews #Translating #Cython #to #Mojo #MojoProgramming #CythonTranslation #TechInnovation #SoftwareDevelopment