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REDPIXEL.PLShutterstockIf you need to save portions of your code for later retrieval or sharing, you can do so with Python pickle. This module serializes objects and allows you to store them on a hard drive or in a database. In this guide, you’ll discover how to effectively use Python pickle, and with…
lucadpShutterstockYou can effortlessly execute external programs and system commands alongside your Python code using the subprocess module. This article not only introduces the module in detail, but also demonstrates through comprehensive practical examples how the two most important functions,…
Mr. KosalshutterstockIf you need to send HTTP requests, Python’s requests module is an excellent choice. While it isn’t included in Python’s standard library, it provides a wide range of methods and is very user-friendly. In this guide, we’ll show you how to install the requests module for Python and…
GorodenkoffshutterstockWith pandas DataFrame.where(), you can modify data in your DataFrame using conditions. By creating conditions to determine which values to keep and which ones to replace, you can efficiently clean, extract or transform data in a DataFrame. In this article, we’ll take a look at…
BEST-BACKGROUNDSShutterstockPandas isin() is a helpful function for data analysis. With its straightforward syntax and versatile applications, it allows you to efficiently check for values in a DataFrame. Whether you’re verifying single columns, filtering DataFrames or conducting more complex analyses with…
REDPIXEL.PLShutterstockWebsites need to look great and be easy to navigate not just on desktop PCs, but across all devices. Responsive design ensures that content automatically adapts to different screen sizes—from tablets to smartphones and beyond. Creating effective mobile navigation is one of the…
Africa StudioShutterstockComputer storage capacity continues to grow year after year. However, even with more gigabytes and terabytes at our disposal, it’s still important to keep file sizes as small as possible—especially when running a website. Smaller files mean faster load times, improved user…
Mr. KosalshutterstockThe Pandas fillna() method is a function used to handle missing values. Various parameters can be used with the function, offering flexibility when replacing NaN values. In this article, we’ll take a look at this function, its syntax and parameters and how to customize…
Rawpixel.comShutterstockIn 2025, the EU’s Accessibility Act will come into force. This directive requires companies, including those outside the bloc who do business with the EU, to offer accessible websites and digital services. This practical guide explains what this means for designers: from WCAG…
The pandas isna() function is a useful tool for identifying missing data in a DataFrame. With its simple syntax, it quickly gives you a clear overview of missing values, helping you take action when data needs to be cleaned. In this article, you’ll learn what pandas isna() is and…