However, it really uses C++, and if you want to provide “things” to the tool users, you need to create objects. For example, when you put Serial in a program, you use an object someone else wrote.

Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more.

Give your Python applications a rocket boost—here's everything you need to know to get started with Cython and its Python-to-C compiler.

Python is one of the most approachable languages to learn, thanks to its object-oriented-first approach and its minimal ...

Overall, the choice between VBA and Python for Excel automation depends on your specific needs. Even though it's outdated, ...

We have only gotten our feet wet with how to use Python to write LDAP applications; you can do a lot more with python-ldap. You can find more python-ldap programming examples here. For more ...

Improve your Python testing even more. In my last two articles, I introduced pytest, a library for testing Python code (see "Testing Your Code with Python's pytest" Part I and Part II). pytest has ...

Microsoft's two new video series target beginner developers interested in using Python for machine-learning programs.

Python simplifies coding with easy syntax, built-in tools, and real-world applications.Mastering basics like loops, functions ...

Here’s one that exists in about 150 lines of Python code. You might wonder what the value is. After all, there are plenty of well-done simulators including Quirk that we have looked at in the past.