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Python is one of the most widely used programming languages in the world. It is used everywhere from primary school education to workaday web development, to the most advanced scientific research institutes of the world. However, like all programming languages, Python has a collection of "Pythonic" ways of accomplishing tasks that are easy to overlook, especially when habits are borrowed wholesale from work in other programming languages. Bett...

Learn how AI-assisted coding using ChatGPT and GitHub Copilot can dramatically increase your productivity (and fun) writing regular expressions and other programs.Regular Expression Puzzles and AI Coding Assistants is the story of two competitors. On one side is David Mertz, an expert programmer and the author of the Web's most popular Regex tutorial. On the other are the AI powerhouse coding assistants, GitHub Copilot and OpenAI ChatGPT. Here...

This entertaining puzzle book, for software developers and programming hobbyists, enlightens readers about many of the amazing and surprising behaviors of regular expressions. The author presents a series of questions, each inviting readers to think at length--and indeed to try out code on their own--before turning the page for the author's discussion and solution.The code shown in this book gives attention to regular expressions themselves, b...

A comprehensive guide for data scientists to master effective data cleaning tools and techniquesKey Features:Think about your data intelligently and ask the right questionsMaster data cleaning techniques using hands-on examples belonging to diverse domainsWork with detailed, commented, well-tested code samples in Python and RBook Description:In data science, data analysis, or machine learning, most of the effort needed to achieve your actual p...

In Data Cleaning for Effective Data Science, leading data science trainer David Mertz provides the most systematic guide to cleaning data for any project, using any library or toolset. Mertz introduces many powerful techniques for analyzing, manipulating, and pre-processing data sources. He offers best practices for working with leading data formats such as JSON, CSV, SQL RDBMSes, HDF5, NoSQL databases, files in image formats, binary serialize...

Text Processing in Python describes techniques for manipulation of text using thePython programming language. At the broadest level, text processing is simplytaking textual information and doing something with it. This might berestructuring or reformatting it, extracting smaller bits of information from it, or performing calculations that depend on the text. Text processing is arguablywhat most programmers spend most of their time doing. Becau...