Python Type Checking

In this guide, you will get a look into Python type checking. Traditionally, types have been handled by the Python interpreter in a flexible but implicit way. Recent versions of Python allow you to specify explicit type hints that can be used by different tools to help you develop your code more efficiently.

#article, #realpython, #typing, #mypy

A Practical Introduction to Web Scraping in Python

Web scraping is the process of collecting and parsing raw data from the Web, and the Python community has come up with some pretty powerful web scraping tools.

The Internet hosts perhaps the greatest source of information—and misinformation—on the planet. Many disciplines, such as data science, business intelligence, and investigative reporting, can benefit enormously from collecting and analyzing data from websites.

#article, #realpython, #python, #scraping

Primer on Python Decorators.

In this tutorial on decorators, we’ll look at what they are and how to create and use them. Decorators provide a simple syntax for calling higher-order functions.

By definition, a decorator is a function that takes another function and extends the behavior of the latter function without explicitly modifying it.

#python, #beginners, #tutorial, #realpython

Python's map(): Processing Iterables Without a Loop

Python’s map() is a built-in function that allows you to process and transform all the items in an iterable without using an explicit for loop, a technique commonly known as mapping. map() is useful when you need to apply a transformation function to each item in an iterable and transform them into a new iterable. map() is one of the tools that support a functional programming style in Python.

In this tutorial, you’ll learn:

- How Python’s map() works
- How to transform different types of Python iterables using map()
- How to combine map() with other functional tools to perform more complex transformations
- What tools you can use to replace map() and make your code more Pythonic

#python, #article, #realpython, #tutorial

Now that I've got your attention. It's time to read about metaclasses.

Python Metaclasses.

The term metaprogramming refers to the potential for a program to have knowledge of or manipulate itself. Python supports a form of metaprogramming for classes called metaclasses.

Metaclasses are an esoteric OOP concept, lurking behind virtually all Python code. You are using them whether you are aware of it or not. For the most part, you don’t need to be aware of it. Most Python programmers rarely, if ever, have to think about metaclasses.

#python #metaclasses #metaprogramming #realpython #article

Itertools in Python 3, By Example.

It has been called a “gem” and “pretty much the coolest thing ever,” and if you have not heard of it, then you are missing out on one of the greatest corners of the Python 3 standard library: itertools.

A handful of excellent resources exist for learning what functions are available in the itertools module. The docs themselves are a great place to start. So is this post.

The thing about itertools, though, is that it is not enough to just know the definitions of the functions it contains. The real power lies in composing these functions to create fast, memory-efficient, and good-looking code.

This article takes a different approach. Rather than introducing itertools to you one function at a time, you will construct practical examples designed to encourage you to “think iteratively.” In general, the examples will start simple and gradually increase in complexity.

#python #realpython #article #itertools

Python Type Checking.

In this guide, you will get a look into Python type checking. Traditionally, types have been handled by the Python interpreter in a flexible but implicit way. Recent versions of Python allow you to specify explicit type hints that can be used by different tools to help you develop your code more efficiently.

#python #typing #mypy #realpython #guide #tutorial