Take your Python skills to the next level to develop scalable, real-world applications for local as well as cloud deployment
Python is a multipurpose language that can be used for multiple use cases. Python for Geeks will teach you how to advance in your career with the help of expert tips and tricks.
You'll start by exploring the different ways of using Python optimally, both from the design and implementation point of view. Next, you'll understand the life cycle of a large-scale Python project. As you advance, you'll focus on different ways of creating an elegant design by modularizing a Python project and learn best practices and design patterns for using Python. You'll also discover how to scale out Python beyond a single thread and how to implement multiprocessing and multithreading in Python. In addition to this, you'll understand how you can not only use Python to deploy on a single machine but also use clusters in private as well as in public cloud computing environments. You'll then explore data processing techniques, focus on reusable, scalable data pipelines, and learn how to use these advanced techniques for network automation, serverless functions, and machine learning. Finally, you'll focus on strategizing web development design using the techniques and best practices covered in the book.
By the end of this Python book, you'll be able to do some serious Python programming for large-scale complex projects.
This book is for intermediate-level Python developers in any field who are looking to build their skills to develop and manage large-scale complex projects. Developers who want to create reusable modules and Python libraries and cloud developers building applications for cloud deployment will also find this book useful. Prior experience with Python will help you get the most out of this book.
"synopsis" may belong to another edition of this title.
Muhammad Asif is a principal solution architect with a wide range of multi-disciplinary experience in web development, network and cloud automation, virtualization, and machine learning. With a strong multi-domain background, he has led many large-scale projects to successful deployment. Although moving to more leadership roles in recent years, Muhammad has always enjoyed solving real-world problems by using appropriate technology and by writing the code himself. He earned a Ph.D. in computer systems from Carleton University, Ottawa, Canada in 2012 and currently works for Nokia as a solution lead.
"About this title" may belong to another edition of this title.
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