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Benchmark, profile, and accelerate Python programs using optimization tools

Scale applications to multiple processors with concurrent programming

Make applications robust and reusable using effective design patterns

Description

Python's powerful capabilities for implementing robust and efficient programs make it one of the most sought-after programming languages. In this book, you'll explore the tools that allow you to improve performance and take your Python programs to the next level. This book starts by examining the built-in as well as external libraries that streamline tasks in the development cycle, such as benchmarking, profiling, and optimizing. You'll then get to grips with using specialized tools such as dedicated libraries and compilers to increase your performance at number-crunching tasks, including training machine learning models. The book covers concurrency, a major solution to making programs more efficient and scalable, and various concurrent programming techniques such as multithreading, multiprocessing, and asynchronous programming. You'll also understand the common problems that cause undesirable behavior in concurrent programs. Finally, you'll work with a wide range of design patterns, including creational, structural, and behavioral patterns that enable you to tackle complex design and architecture challenges, making your programs more robust and maintainable. By the end of the book, you'll be exposed to a wide range of advanced functionalities in Python and be equipped with the practical knowledge needed to apply them to your use cases.

What you will learn

Write efficient numerical code with NumPy, pandas, and Xarray

Use Cython and Numba to achieve native performance

Find bottlenecks in your Python code using profilers

Optimize your machine learning models with JAX

Implement multithreaded, multiprocessing, and asynchronous programs

Solve common problems in concurrent programming, such as deadlocks

Tackle architecture challenges with design patterns

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

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IntegralBill May 11, 2022

As the title states, "Advanced." This is an excellent book for learning advanced Python concepts!! This is not a book to initially learn Python or general programming. If you're already adept at Python, this book is a great next step. It covers various topics ranging from testing libraries to design patterns, in a concise manner. The book itself is large due to covering so many intermediate to advanced topics; but the book gets straight to the point, which is great!Some of the topics covered in this book have come up as questions in programming and data science interviews I've attended. So I wish I had this book prior to attending interviews. It's a great reference and full of ideas for you to consider when you are at that intermediate to advanced state.When you're ready to step up your current Python skills, if you're looking to interview as a Python-based Software Engineer or Data Scientist, or if you would like to discover Advanced Python ideas/topics which you may not have even thought of yet, this is an excellent book for you!!!

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POE Aug 15, 2022

Python an increasingly relevant programming language and this book provides great insights, and examples on how to harness some of the advanced power of the language. This is accomplished by demonstrated how to use Python to implement concurrency, multithreading, multiprocessing, benchmarking, optimizing, and profiling. Additional topics include asynchronous programming and machine learning.I titled my review two books in one because, in addition to covering advanced programming topics and techniques, the book also covers design patterns. While not all the Gang of Four (GoF) 23 original design patterns are covered, the majority of them are.

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Jaime Sierra Silva (Consignment) Nov 24, 2022

Python is a very versatile language, in general, one thing is to learn a language and another thing is to use it in the most optimal way, so that the software that is developed is of a performance for its users and the structure in which it is located.In "Advanced Python Programming", the author delves into techniques and practices to optimize programs written in Python, so that it uses optimally the resources at its disposal and fulfills its objectives in the best way. The book takes us through the different aspects to consider to improve our codes, the only goal is to be a better Python developer.

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Customer Review May 20, 2022

First impression was "Even though it's pretty long (~550 pages), this will be an easy read, because I already have substantial experience with Design Patterns in C++."Well, it was a lot more than just a Design Patterns in Python3 book. I wasn't very far into the book when my hubris became embarrassingly obvious. The author didn't even start in on the Design Patterns stuff until nearly 2/3rds of the way through the book. Well, that part was a comparably easy read, partially because using the GoF patterns in Python is a little easier than in C++. Well, mostly, anyway. Python3 makes using most of the GoF patterns pretty straightforward.The first two-thirds of the book were more challenging (and informative) than I expected. The author takes a deep dive into various ways to optimize and improve your code. Of course, he started off with the observation that the choice of algorithm totally dominates that process. But I certainly learned a lot about Python3 (and various library) optimizations.I got introduced to a lot of different things in Python3 that I didn't know existed, and got to review some things I had not encountered in a long time. In a way, learning Python is a lot like learning Java, in the sense that the syntax of the language is pretty easy to understand. The problem is that learning the proper syntax rules puts you at about 5% of the way to being a proficient programmer. Learning the "Pythonic" way of doing stuff (like making appropriate use of things like tuples and dictionaries) gets you to maybe 15%. Learning a huge body of existing libraries gets you to about 80%, after which incremental gains get more challenging.I think that this book can get you to almost 100% (actually, 100% might not really be achievable in any discipline -- or maybe the field just continues to expand) of the way to production programming. Well, this book and a few years of experience. If you already have a bit of Python3 experience, then this book is a great follow-on to get your Python3 chops to the next level.I liked the way the assessment questions were used, and I appreciated the coverage of the assessment answers at the end. The assessments were well-done.I can think of only two things to suggest for improvement. The first would be to make this into 3 books instead of one huge tome. That might have made it somewhat less overwhelming The second would be to provide an overview of how to use the various help facilities in Python. Although by the time you really need this book, you probably already have that 2nd part figured out.This book will be one that I return to often for reference.

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engineering_guy Apr 07, 2022

I have a very long time to read such a great book!This book makes concepts like concurrency and various concurrent programming techniques such as multithreading, multiprocessing, and asynchronous programming really easy to understand with great examples. Also, common problems that cause undesirable behaviour in concurrent programs are explained in a solid way. Design patterns - creational, structural, and behavioural patterns and much more complex design and architecture challenges are also part of the content.Overall, a useful book for a range of engineering backgrounds, including software engineers, scientific programmers, and software architects.

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Advanced Python Programming: Accelerate your Python programs using proven techniques and design patterns , Second Edition

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