Take your Python skills to the next level to develop scalable,
real-world applications for local as well as cloud deployment
Key Features:
-
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
Book 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.
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
Who this book is 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.