The section on performance measurements and finding bottlenecks has been significantly expanded to include cProfile/profiling.tracing, tprof, and profiling.sampling/Tachyon: https://www.python4data.science/en/latest/performance/index.html#performance-measurements
#Python #Performance

We have updated the documentation section with references to README, CONTRIBUTING, CHANGELOG, etc.
https://python-basics-tutorial.readthedocs.io/en/latest/document/
#Python #Documentation

@AlanSill I can confirm that this is also the primary expectation in new projects. We then present our infrastructure, which guarantees binary-compatible builds for around four years, checks the code quality of additional libraries, and so on.

@autiomaa @AlanSill Among other things, we always recommend that data scientists in our projects check the training date of the LLMs. See also ‘Take the training cut-off date into account’: https://cusy.io/en/blog/how-llms-help-us-with-programming.html#take-the-training-cut-off-date-into-account

@AlanSill We emphasise in our data science courses and in our infrastructure that only actively maintained packages should be used. These are two of our efforts to make sustainable research possible.

We have updated the FastAPI extensions. It is very surprising to us that millions of extensions are being downloaded that have not been updated for over a year.
https://www.python4data.science/en/latest/data-processing/apis/fastapi/extensions.html
@FastAPI
#Python #FastAPI #REST

I took a look at the changes coming with Python 3.15 – and I can’t wait to put them to productive use. I’ve already updated our tutorials:
• utf-8 as the default encoding: https://python-basics-tutorial.readthedocs.io/en/latest/types/strings/encodings.html#unicode-and-utf-8
• Performance measurements: https://www.python4data.science/en/latest/performance/index.html#performance-measurements
• Tachyon: https://www.python4data.science/en/latest/performance/tachyon.html
• Python JIT compiler: https://www.python4data.science/en/latest/performance/index.html#python-jit-compiler
#Python

We have updated the section on pytest with many exciting use cases
* on command line options
* on generating markers
* and on parameterising exceptions
https://python-basics-tutorial.readthedocs.io/en/latest/test/pytest/index.html
#Python #Testing #pytest

We have updated our tutorial to data management with DVC. It also allows you to create lightweight data science and data modelling workflows and execute them in a parameterised manner: https://www.python4data.science/en/latest/productive/dvc/
#Data #Versioncontrol #Git #DataScience #Modeling #Python #MLOps

Now we have also described how to use uv reliably for Cursor: https://www.python4data.science/en/latest/productive/envs/uv/claude-cursor.html
#CursorAI #Python #Packaging #uv

@webology Step by step, we will document our experiences with programming support from LLM agents in the tutorial. Our blog posts are somewhat more abstract, such as the one about how we use LLMs: https://cusy.io/en/blog/how-llms-help-us-with-programming.html

We have now described how to create a configuration for Claude Code so that it uses uv reliably: https://python4data.science/en/latest/productive/envs/uv/claude.html
@claudeai #ClaudeCode #Python #Packaging #uv

Since we have recently been asked frequently whether pandas is slow and whether we should use Polars, Dask or DuckDB instead, we have now provided an initial overview of the various technologies: https://www.python4data.science/en/latest/workspace/pandas/index.html#pandas-vs-polars-vs-dask-and-duckdb
#Python #Performance #DuckDB

We have now completely switched to pathlib: https://python-basics-tutorial.readthedocs.io/en/latest/save-data/files-directories.html
#Python

We have finally documented Ruff – the tool greatly simplifies static code analysis for Python projects: https://www.python4data.science/en/latest/productive/qa/ruff.html
#Python #Ruff

We have now updated our packaging tutorial to include PEP 639, which enables SPDX-compliant licensing: https://python-basics-tutorial.readthedocs.io/en/latest/packs/distribution.html#license-expression
#Python #Packaging #SPDX #Licensing

We have added a section on additional JSON tools: https://www.python4data.science/en/latest/data-processing/serialisation-formats/json/#json-tools
#Python #JSON

We have added several geopython libraries: https://www.python4data.science/en/latest/data-processing/geodata.html#geopython
#Python #Geospatial #GeoPython

We have significantly expanded the section on licences for AI systems: https://www.python4data.science/en/latest/productive/licensing.html#machine-learning-models
#AI #Licensing #OpenData #OpenSource

The XKCD comic on reproducible scientific results fits perfectly with our tutorial 🧐 😉
https://www.python4data.science/en/latest/productive/index.html