Python

Have you ever seen the term yield from in some Python code and wondered what it was? In this article we will delve even deeper into generators and understand, with examples, what yield from means and how we can use it to make our code even more efficient.

Did you know that you can create an infinite sequence without having memory problems and still consume this sequence in any way you want? Today we will see a specific function of the itertools standard library module, the islice, and see how can it be used to create the Fibonacci infinite sequence in Python.

Regular expressions (or, shortly, regex) are a language that detects patterns. You express a pattern that will be applied to strings. It is an efficient way to find patterns and extract information from texts. Within this pattern, each symbol represents a type of information. In this article, we will see the main symbols and their meanings with the help of several examples.

A significant part of our time is spent dealing with strings, so it is important to know how to present them in the desired way. This is what we will see in this article with several examples.

Certainly, one of the most abstract subjects in math classes: polynomials. After all, who has never been confused in a polynomial division, it is x everywhere. In this article, we will see how the SymPy library, for the Python language, helps us to deal with operations involving polynomials.

In this article, we will see how to make graphs with SymPy and Matplotlib. Usually when we talk about SymPy we focus on the part related to solving mathematical calculations. But many forget that the library has some basic resources for building graphs, which we will see in this article.

In this article, we will see how to work with rational, exponential and logarithmic expressions with the SymPy library in Python.

Do you know the difference between a “normal” function and a generator function in Python? What is the difference between the return of a usual function and the yield of a generator? In this article we will answer these questions and also delve into some aspects of the language

Much of the study of mathematics at more fundamental levels is dedicated to solving equations and systems of equations. In this article we will see how to use SymPy for these tasks quickly and intuitively.

Do you know what an iterable is? And an iterator? How to recognize these structures in Python? Answering these questions is the goal of this article.

In this article, we’ll see an introduction to SymPy, one of the most powerful math packages for the Python language

We’ll compare pure Python code and other approaches efficiency, delving into what truly impacts performance and optimizing Python’s advantages.

In this article, we will explore the balancing of chemical equations using the ChemPy package.

molmass is a Python package designed for chemists and researchers. It provides tools for calculating the molar mass, mass distribution, and isotopic patterns of chemical substances.

In this post we will see how we can use SymPy and Matplotlib, both Python packages, to visualize ideal gas isotherms.