python

Some external links to resources about organising, building, deploying, and distributing Python projects and Python environment management.

Some things to note:

Pandas ("Panel Data") for data analysis and data manipulation is one of the best known Python projects. It can import data from spreadsheets and a wide range of SQL databases and other data sources such as HDF5, and has strong support for working with JSON, XML, and HTML.

For those who for some reason (cost?) don't want to use  Wolfram Mathematica instead, which also has support for symbolic algebra and so much more (and can call Python anyway).

Some quick notes on some key Python packages, comparison of libraries, and links. This guide is by no means complete.

PyPi

The primary (but not only) resource for information on Python packages is PyPy.

CAVEAT: This guide needs some more supporting code examples. For now, this description in text and graphs do already describe the pattern quite well.

Terminology:

Pathlib is in the standard library since Python 3.4 and is better than os.path for most tasks. A good overview is Trey Hunner's 2024 guide, which has a nice cheatsheet.

One really nice feature is that Path overrides the / operator, so instead of using the joinpath method you can do things like this:

Some real or imagined myths, erroneous claims, and misunderstandings about Python.

Python is not specifically an object-oriented language or primarily a functional programming language, it is a multi-paradigm language (as are most languages these days more or less):

This is just a reference page with some Python basics and some handy external links. The information is primarily for Python version ≥ 3.12.6.

Some key properties and idiosyncrasies of Python

Before searching say on Stackoverflow (or having Google send you there) it's often best to read the Python3: Programming FAQ first, which in fact does answer most questions asked on Stackoverflow.

Ever ended up in an argument with a programmer who only uses one language and who thinks that the terminology as used in the one language they know is the definition of a wider concept?

Webel IT Australia has a wealth of experience with data schema modelling for eXtensible Markup Language (XML) and JS