Data Science PRBooks provide you the ability to learn at your on time even if you are on the go and they go really in detail. We bring you a list of the best Python books for advanced programmers.
Introduction to Machine Learning with Python: A Guide for Data Scientists
Many commercial applications and projects have employed machine learning as an integral ingredient, and the number of applications doing so has only risen over the years. This book by Sarah Guido and Andreas C. Muller teaches you how to use Python programming language to build your machine learning solutions. As the amount of data usage increases with the second, the limitation to machine learning applications is only our imagination.
Throughout this book, you learn about the steps required to create a rich machine-learning application using Python and sci-kit-learn library. The book introduces you to the fundamental concepts and uses of machine learning before moving on to the pros and cons of popular machine learning algorithms. You also learn about the advanced methods for model evaluation and the concept of pipelines, which is for encapsulating your workflow and chaining models. In conclusion, the book provides suggestions to help you improve your data science skills.
Fluent Python: Clear, Concise, and Effective Programming
‘Fluent Python’ by Luciano Ramalho is your hands-on-guide that helps you learn how to write useful Python code by using the most neglected yet best features of the language. The author takes you through the features and libraries of the language and helps you make the code shorter, faster, and readable.
The book covers various concepts, including python data model, data structures, functions as objects, object-oriented idioms, control flow, and metaprogramming. Using this book, advanced Python programmers learn about Python 3 and how to become proficient in this version of the language. The author is Luciano Ramalho, a Web Developer who has worked with some of the most significant news portals in Brazil using Python and has his own Python training company.
Python Cookbook: Recipes for Mastering Python 3
‘Python Cookbook’ by David Beazley and Brian K. Jones helps you master your programming skills in Python 3 or help you update older Python 2 code. This cookbook is filled with recipes tried and tested with Python 3.3 is the ticket for experienced Python programmers who wish to take the approach to modern tools and idioms rather than just standard coding. The book has complete recipes for a variety of topics, covering Python language and its uses, along with tasks common to a large number of application domains. Some of the topics covered in the book are but not limited to strings, data structures, iterators, functions, classes, modules, packages, concurrency, testing, debugging, and exceptions. Throughout the book, the recipes mentioned above presuppose that you have the necessary knowledge to understand the topics in the book. Each recipe contains a sample code the reader can use in their projects. The code follows a discussion about the working of the code and why the solution works.
Programming Python: Powerful Object-Oriented Programming
‘Programming Python’ by Mark Lutz is ideal for programmers who have understood the fundamentals of Python programming and ready to learn how to use their skills to get real work done. This book includes in-depth tutorials on various application domains of Python, such as GUIs, the Web, and system administration. The book also discusses how the databases uses the language, text processing, front-end scripting layers, networking, and much more.
The book explains the commonly used tools, language syntax, and programming techniques through a brief yet precise approach. The book has many examples that show the correct usage and common idioms. The book also digs into the language as a software development tool, along with multiple examples illustrated particularly for that purpose.
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