Learn how to install and set up an app with Flask, a popular microframework for Python that offers an alternative to the much larger Django.
Learn how to use date and time in Python, with real-life examples of working with date and time using the Python datetime and time modules.
Learn the basics of sorting algorithms in this handy guide for anyone interested in programming, data analysis, or computer science.
Learn how to read, write and parse JSON in Python, with helpful examples, and explore popular modules in Python for working with JSON.
Exception handling is important when building real-world apps. Learn how to use the try and except statements to handle exceptions in Python.
All the books you need to get started with Python or improve your programming knowledge are included in this extensive list.
Learn about file handling in Python using with pathlib: how to navigate local files and directories, and open, read, write and close files.
Learn the basics of object-oriented programming in Python: inheritance, polymorphism, creating classes, attributes and methods, and more.
For developers, a good IDE is like a superpower. View the top Python IDEs and code editors as judged by the Python developer community.
Python is a dynamic, object-oriented programming language that's used to build websites and software, automate tasks, and analyze data.
Learn how to use Python regex functions and methods in your Python programs as we cover the nuances in handling Python regex objects.
A certain skill set and an appropriate tech stack are required for AI software development. Learn about the best programming languages for artificial intelligence development right now.
Learn what SQLite is, how some of its advanced features work, and how you can use it in Python projects with the help of the sqlite3 module.
Learn how to recognize, write and use Python lambda functions — a handy option for one-liner functions, IIFEs, and functional programming.
Learn how HTTP web requests are structured, and how to make a Python request — with the help of the Python requests library.
Wondering if you should learn Python? We look at 8 key reasons why Python is a great language to learn, and how you can easily get started.
Learn what Python multiprocessing is, its advantages, and how to improve the running time of Python programs by using parallel programming.
Learn what Python decorators are, what their syntax looks like, how to identify them in a script or framework, and how to apply them.
Learn what software testing is, and how to run Python unit tests with unittest and pytest, two key frameworks for Python unit testing.
The best and easiest way to set up a virtual environment for Python is with pip, virtualenv, and a simple bash script. Here’s how.
Working with large web apps often involves creating and parsing spreadsheets. Learn how to handle and parse these files using Python.
Want to create an artificial neural network? Learn step by step how to create a model for recognizing handwritten digits.
Interested in face detection and recognition? Learn how to detect faces in images, extract facial features and match them in different images.
So much data is unstructured. Learn how natural language processing in Python can help you analyze a bunch of unstructured textual data.
Performing machine learning is fundamentally different from classic programming. Learn the basics of machine learning in this easy-to-follow introduction.
Lucero del Alba walks through how to restyle the Django admin interface to match the look and feel of the rest of your site, with the help of Bootstrap.
Learn how use Django and Vue.js to prototype a custom, responsive and reactive web application with a full-featured back office site to manage the content.
Lucero del Alba gives tips on how to get a Python job, discussing salaries, in-demand skills, marketplaces, and how to remain competitive.
Shaumik Daityari helps prep you for your next Python interview by reviewing the types of Python-related questions that may be asked.
Lucero del Alba explains why Python is so popular, discusses current Python trends, and covers the best Python packages and tools to get acquainted with.