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All code examples have been tested with Python 3.7 and Python 3.8 and are expected to work with any future 3.x release

Learn how to build modular and object-oriented applications in Python

Discover how to use advanced Python techniques for the cloud and clusters

Description

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.

Who is this book for?

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.

What you will learn

Understand how to design and manage complex Python projects

Strategize test-driven development (TDD) in Python

Explore multithreading and multiprogramming in Python

Use Python for data processing with Apache Spark and Google Cloud Platform (GCP)

Deploy serverless programs on public clouds such as GCP

Use Python to build web applications and application programming interfaces

Apply Python for network automation and serverless functions

Get to grips with Python for data analysis and machine learning

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Amazon verified reviews

TeamWoliston Dec 02, 2021

Rife with easy to understand examples, this very clear Python reference is a great way to not only learn/improve your python skills, but also learn how to use Python in cutting edge applications such as cloud computing, AI, machine learning, Web 2.0 programming, serverless computing, general testing/automation and network automation.Based on very sounds software engineering methodologies, Asif provides a an accurate, concise and practical guide to using Python to solve modern real world problems and provide state of art digital services. Whether you just starting to learn Python or are a seasoned professional, this book will be one of the key references you keep turning to over and over again.If I had to recommend one book on Python; this would be it!

Amazon Verified review

Lucinda Linde Nov 06, 2021

Python for GeeksBuild production-ready applications using advanced Python concepts and industry best practicesBy, Muhammad AsifDisclaimer: This review has been requested by the publisher, and I am giving my honest review of this book. This review is based on reading the book. As with any Packt publication, it's also necessary to try out the code, which I will at a later point in time.OverviewThis book is aimed at the intermediate Python practitioner who wants to take their coding skill to the next level. The book starts by outlining what it takes to be ‘Pythonic’. One of the great things about Python is that there is a welcome consistency for how things work (unlike R, where any given package can have its own idiosyncratic personality). After the basics of writing code in a Pythonic manner, the book covers reusability of code- functions, modules, the core things to know for modularizing complex code and reusing code.The chapter on Advanced Object-Oriented programming helped fill a gap of knowledge and I hope to benefit from these new learnings. The rest of the book goes into advanced programming: advanced libraries, testing, automation, advanced tips and tricks, multi-threading (etc.), scaling Python across Clusters (PySpark etc.), Python in Google Cloud, Web Development (Flask), APIs, Microservices (Django), Serverless Functions, machine learning, network automation. Given the extensive functionalities covered, it will be a long time before I outgrow Python for Geeks.I'd give this book 4.6 stars, but gave it a 5 because of rounding.What I like about this bookThis is a great reference book to give a foundational understanding when encountering new levels of advanced Python programming. I also like that there are many code examples to illustrate the concept being discussed. The book says to type in the code oneself, which is an important way to cement the learning. And the outputs aren’t in the book, you have to go type in the text to see the output.The code examples build on the things created in previous chapters, which greatly aids in understanding the incremental functionality and power covered in each chapter.The chapter with Advanced Tips and Tricks has powerful ways to code: itertools, lambda functions etc. These are elegant ways to accomplish some complex tasks. I will use more of these for sure.What I don’t like about this bookI have seen other books or tutorials that explain things in a more intuitive way. For example, if I compare how functions and modules are explained in this book, it’s more formal than another book I recently read. The difference is this book efficiently explains what is what. The other book asks and answers the questions that someone learning about modules might have. Different readers will respond better to different styles- one can’t please everyone with one book or one style.After writing this review, I read the other reviews. Some reviewers wanted more tutorial, some wanted less. I’m in the camp that would have liked more tutorial. But that would have required covering less ground. It’s a tough balance to strike.OverallPython for Geeks explains the advanced functionalities that enable an intermediate python programmer to step up to being an advance programmer. It’s valuable to have all these areas from functions to multi-threading in one place with consistent examples. I will use this reference to improve my advanced python programming skills.

TC H. Nov 30, 2021

I have been programming Python for many years, but always feel incomplete when it comes to more advanced usage of Python. This book basically covers everything I need to know to fill this gap. Definitely save my time in bring my Python programming skills to another level. Highly recommended!

Amazon Customer Nov 05, 2021

Reading this book is a great pleasure. It's a great choice for people who are already familiar with python and want to improve their engineering skills. For python, it covers the most important engineering topics and good practices you need with all kinds of examples. It teaches in-depth about what python is capable of, which you will never know by simply searching on Google because you will not even think about improving your code in that direction unless you have read this book! It also shows how to develop and deploy applications on servers with python, which can be very helpful if you have such needs. Last but not least, be reading this book, you will learn a great number of good python habits and engineering patterns. This is also what I think helps me most, as I spent most of my time learning math/stats!

Math_Ninja Oct 23, 2021

It is a great book. Python is a general purpose language. This book covers the use of Python in depth. It also covers the modern day use of Python on cloud and distributed computing. It is one the few books that go beyond the basics of writing code in Python.

Python for Geeks: Build production-ready applications using advanced Python concepts and industry best practices

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