Once you have a NumPy array, regardless of whether you’ve generated it randomly or obtained it from a more ordered source, there may be times when you need to select elements from it randomly or reorder its structure randomly. You’ll learn how to do this next. Selecting Array Elements Randomly Suppose you have a NumPy array of data collected from a survey, and you wish to use a random sample of its elements for analysis. The Generator object’s .choice() method […]

So far, you’ve learned how to extract text and pages from PDFs and how to concatenate and merge two or more PDF files. These are all common operations with PDF files, but pypdf has many other useful features. In the following sections, you’ll learn how to rotate and crop pages in a PDF file. Rotating Pages With PageObject.rotate() You’ll start by learning how to rotate pages. For this example, you’ll use the ugly.pdf file in the practice_files/ folder. This file […]

When you’re coding, there’s always a font involved in displaying the text on the screen. Yet, the font that you use is an often-overlooked piece in your programming tool kit. Many operating systems and code editors come with their default monospace fonts that you may end up using. But there are a bunch of technicalities and features to take into consideration when choosing the best font for your daily programming. That’s why it’s worth investigating the requirements that a programming […]

Before you can process your data with Pandas, you need to load it (from disk or remote storage). There are plenty of data formats supported by Pandas, from CSV, to JSON, to Parquet, and many others as well. Which should you use? You don’t want loading the data to be slow, or use lots of memory: that’s pure overhead. Ideally you’d want a file format that’s fast, efficient, small, and broadly supported. You also want to make sure the loaded […]