Book Image

Mastering Python 2E - Second Edition

By : Rick van Hattem
5 (1)
Book Image

Mastering Python 2E - Second Edition

5 (1)
By: Rick van Hattem

Overview of this book

Even if you find writing Python code easy, writing code that is efficient, maintainable, and reusable is not so straightforward. Many of Python’s capabilities are underutilized even by more experienced programmers. Mastering Python, Second Edition, is an authoritative guide to understanding advanced Python programming so you can write the highest quality code. This new edition has been extensively revised and updated with exercises, four new chapters and updates up to Python 3.10. Revisit important basics, including Pythonic style and syntax and functional programming. Avoid common mistakes made by programmers of all experience levels. Make smart decisions about the best testing and debugging tools to use, optimize your code’s performance across multiple machines and Python versions, and deploy often-forgotten Python features to your advantage. Get fully up to speed with asyncio and stretch the language even further by accessing C functions with simple Python calls. Finally, turn your new-and-improved code into packages and share them with the wider Python community. If you are a Python programmer wanting to improve your code quality and readability, this Python book will make you confident in writing high-quality scripts and taking on bigger challenges
Table of Contents (21 chapters)
19
Other Books You May Enjoy
20
Index

Natural language processing

NLP is the process of parsing text and understanding its meaning. This can be used to extract knowledge from pieces of text, understand the differences between texts, and more.

There are several well-developed libraries available for this purpose that work quite well. Additionally, there are also hosted pre-trained networks available such as the GPT-3 network, which can be accessed through the OpenAI API.

This network can generate text of such high quality that it is often indistinguishable from human-generated text.

NLTK – Natural Language Toolkit

NLTK is not really a machine learning library by itself like most of the other libraries here, but it’s the basis for many natural language processing libraries. The NLTK project started in 2001 with the purpose of understanding natural languages, and definitely deserves a place in this list.

The project comes bundled with a large collection of corpora and pre-trained models...