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Nov 27, 2023 · Learn what external modules are, why they are useful, and how to use them in Python. See examples of popular external modules for web development, data analysis, machine learning, and more.
- Loguru — Logging Made Easy
- More-itertools
- Monkeytype — Static Type Annotations Generator
- Pyright — Static Type Checker
- Requests-Async — Support For Async/Await Syntax For Requests
- Httpie — Modern Command Line Curl
- Pipenv — Better Packaging For Python
- Mypy — Static Type Checker
- Black
- Flask
- GeneratedCaptionsTabForHeroSec
This is a really awesome package I regularly use in my projects. It describes itself as “a library which aims to bring enjoyable logging in Python”. This package just lets you easily configure your logs out of the box. All you have to do after installing is to import the module: And you’re free to use it out of the box: The documentation is good an...
A variety of interesting methods that could sometimes come very useful, such as peekable: or chunked:
This package automatically generates type annotations for you, either in a stub file or in the source code itself, by collecting runtime types. Right, Python doesn’t enforce you to use annotations — but I believe they are very important for readability of the code (and sometimes for avoiding errors), which is also why there are 2 more packages in t...
Exciting new package coming from Microsoft. The inital commit was just 17 days ago! This package is the competitor of Mypy (also on this list). To be honest, I haven’t yet had the chance to use it, but I definitely plan to. I currently use mypy as a type checker, but I’ll give this one a try!
This is a new package I discovered the other day on GitHub, and it seems pretty promising. We all know the requests package, that lets us easily handle HTTP requests in our code. Well, this package implements async and awaitwords for these requests: Pretty cool right?
Those of you who have used cURL before, must know it’s not that fun. Having to remember the parameters names, making sure your data is encapsulated… Well, HTTPie aims to make this much easier. Here’s one of their examples, of submitting form data:
When I start a new project, I always create a new virtualenv and install some basic packages with pip. I then need to save these packages names in a file, be it setup.py or requirements.txt. Those of you who have worked with npm, know it's much simpler there. All you need to do is write npm —save and the package name is saved in your package.json. ...
As I said before, this is the package I currently use as my standard static type checker. It helps me keep my code readable and elegant (I think).
I have tried many Python formatters, and black is clearly my favourite. The syntax looks neat, and the command line runs quick and can either check the files or actually edit them - very useful for CI/CD. You can even try it here!
Not sure if I have anything to write here that hasn’t been written before. You are probably familiar with this astonishing micro framework, and if you’re not.. you definitely should check it out.
Learn about 10 useful and interesting Python packages that can enhance your development process, such as loguru, monkeytype, pyright, requests-async, and flask. See examples, features, and links to try them out.
1 day ago · A module is a file containing Python definitions and statements. The file name is the module name with the suffix .py appended. Within a module, the module’s name (as a string) is available as the value of the global variable __name__.
Jan 5, 2022 · Learn how to install, import, and use external libraries in Python for data science. External libraries are custom sets of functions, objects, and more that provide additional features and capabilities for Python programming.
This article explores Python modules and Python packages, two mechanisms that facilitate modular programming.
In this tutorial, you will learn to create and import custom modules in Python. Also, you will find different techniques to import and use custom and built-in modules in Python.
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Nov 28, 2017 · Learn how to create, use, and share Python modules, which are units that store code and data and provide code-reuse to Python projects. This article covers the basics of module creation, importing, and packaging, as well as advanced topics such as circular importing and dual-mode code.
