Useful Collection Classes in Python You May Not Know

Most Python developers know about dictionaries, lists, and tuples — three workhorse collections that are so useful that they repeatedly appear in Python code. Compared to other languages, these essential collections have such excellent support in the language that they feel almost like native types. For example, they all have special constructors and operators unique … Read more

How to Work With Google Sheets In Python and Pandas

Working with spreadsheets in Python on your local machine is relatively simple. For example, Pandas can open a spreadsheet into a DataFrame using read_excel. To do this, Pandas relies on another package for reading and writing spreadsheets, openpyxl. Once you’ve installed this package using your favorite package manager, the process is straightforward. To the extent … Read more

Jupyter Notebook: A Complete Introduction

Jupyter Notebook is a popular development environment that supports Python and other programming languages. It is a browser-based environment, which is excellent since you can connect to notebooks running either online or locally. Our goal in this article is two-fold and reflects the article’s division into two parts: Part One: Up and Running Running Online … Read more

Python Generator Functions: The Complete Guide

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Many Python developers consider generators an advanced topic because they are less well known than sequence types such as lists, arrays, and strings. Also, because the syntax for generator functions can appear strange at first, many developers don’t take the time to learn about them at all. That’s a shame, really, because, in some instances, … Read more