When you looking for effective python, you must consider not only the quality but also price and customer reviews. But among hundreds of product with different price range, choosing suitable effective python is not an easy task. In this post, we show you how to find the right effective python along with our top-rated reviews. Please check out our suggestions to find the best effective python for you.
Reviews
1. Python Tricks: A Buffet of Awesome Python Features
Description
I dont even feel like Ive scratched the surface of what I can do with Python
With Python Tricks: The Book youll discover Pythons best practices and the power of beautiful & Pythonic code with simple examples and a step-by-step narrative.
You'll get one step closer to mastering Python, so you can write beautiful and idiomatic code that comes to you naturally.
Learning the ins and outs of Python is difficultand with this book you'll be able to focus on the practical skills that really matter. Discoverthe hidden gold in Pythons standard library and start writingclean and Pythoniccode today.
Who Should Read This Book:
- If youre wondering which lesser known parts in Python you should know about, youll get a roadmap with this book. Discover cool (yet practical!) Python tricks and blow your coworkers minds in your next code review.
- If youve got experience with legacy versions of Python, the book will get you up to speed with modern patterns and features introduced in Python 3 and backported to Python 2.
- If youve worked with other programming languages and you want to get up to speed with Python,youll pick up the idioms and practical tips you need to become a confident and effective Pythonista.
- If you want to make Python your own and learn how to write clean and Pythonic code, youll discover best practices and little-known tricks to round out your knowledge.
What Python Developers Say About The Book:
"I kept thinking that I wished I had access to a book like this when I started learning Python many years ago." Mariatta Wijaya, Python Core Developer
"This book makes you write better Python code!" Bob Belderbos, Software Developer at Oracle
"Far from being just a shallow collection of snippets, this book will leave the attentive reader with a deeper understanding of the inner workings of Python as well as an appreciation for its beauty." Ben Felder, Pythonista
"It's like having a seasoned tutor explaining, well, tricks!" Daniel Meyer, Sr. Desktop Administrator at Tesla Inc.
2. Effective Python: 59 Specific Ways to Write Better Python (Effective Software Development Series)
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Effective Python 59 Specific Ways to Write Better PythonDescription
It's easy to start writing code with Python: that's why the language is so immensely popular. However, Python has unique strengths, charms, and expressivity that can be hard to grasp at first -- as well as hidden pitfalls that can easily trip you up if you aren't aware of them. Effective Python will help you harness the full power of Python to write exceptionally robust, efficient, maintainable, and well-performing code. Utilizing the concise, scenario-driven style pioneered in Scott Meyers's best-selling Effective C++, Brett Slatkin brings together 59 Python best practices, tips, shortcuts, and realistic code examples from expert programmers.Through realistic examples, Slatkin uncovers little-known Python quirks, intricacies, and idioms that powerfully impact code behavior and performance. You'll learn how to choose the most efficient and effective way to accomplish key tasks when multiple options exist, and how to write code that's easier to understand, maintain, and improve.
Drawing on his deep understanding of Python's capabilities, Slatkin offers practical advice for each major area of development with both Python 3.x and Python 2.x. Coverage includes:
- Algorithms
- Objects
- Concurrency
- Collaboration
- Built-in modules
- Production techniques
- And more
3. Fluent Python: Clear, Concise, and Effective Programming
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O Reilly MediaDescription
Pythons simplicity lets you become productive quickly, but this often means you arent using everything it has to offer. With this hands-on guide, youll learn how to write effective, idiomatic Python code by leveraging its bestand possibly most neglectedfeatures. Author Luciano Ramalho takes you through Pythons core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time.
Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3.
This book covers:
- Python data model: understand how special methods are the key to the consistent behavior of objects
- Data structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode age
- Functions as objects: view Python functions as first-class objects, and understand how this affects popular design patterns
- Object-oriented idioms: build classes by learning about references, mutability, interfaces, operator overloading, and multiple inheritance
- Control flow: leverage context managers, generators, coroutines, and concurrency with the concurrent.futures and asyncio packages
- Metaprogramming: understand how properties, attribute descriptors, class decorators, and metaclasses work
4. Python Cookbook, Third edition
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Python CookbookDescription
If you need help writing programs in Python 3, or want to update older Python 2 code, this book is just the ticket. Packed with practical recipes written and tested with Python 3.3, this unique cookbook is for experienced Python programmers who want to focus on modern tools and idioms.
Inside, youll find complete recipes for more than a dozen topics, covering the core Python language as well as tasks common to a wide variety of application domains. Each recipe contains code samples you can use in your projects right away, along with a discussion about how and why the solution works.
Topics include:
- Data Structures and Algorithms
- Strings and Text
- Numbers, Dates, and Times
- Iterators and Generators
- Files and I/O
- Data Encoding and Processing
- Functions
- Classes and Objects
- Metaprogramming
- Modules and Packages
- Network and Web Programming
- Concurrency
- Utility Scripting and System Administration
- Testing, Debugging, and Exceptions
- C Extensions
5. The Hitchhiker's Guide to Python: Best Practices for Development
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O Reilly MediaDescription
The Hitchhiker's Guide to Python takes the journeyman Pythonista to true expertise. More than any other language, Python was created with the philosophy of simplicity and parsimony. Now 25 years old, Python has become the primary or secondary language (after SQL) for many business users. With popularity comes diversityand possibly dilution.
This guide, collaboratively written by over a hundred members of the Python community, describes best practices currently used by package and application developers. Unlike other books for this audience, The Hitchhikers Guide is light on reusable code and heavier on design philosophy, directing the reader to excellent sources that already exist.
6. High Performance Python: Practical Performant Programming for Humans
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High Performance PythonDescription
Your Python code may run correctly, but you need it to run faster. By exploring the fundamental theory behind design choices, this practical guide helps you gain a deeper understanding of Pythons implementation. Youll learn how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs.
How can you take advantage of multi-core architectures or clusters? Or build a system that can scale up and down without losing reliability? Experienced Python programmers will learn concrete solutions to these and other issues, along with war stories from companies that use high performance Python for social media analytics, productionized machine learning, and other situations.
- Get a better grasp of numpy, Cython, and profilers
- Learn how Python abstracts the underlying computer architecture
- Use profiling to find bottlenecks in CPU time and memory usage
- Write efficient programs by choosing appropriate data structures
- Speed up matrix and vector computations
- Use tools to compile Python down to machine code
- Manage multiple I/O and computational operations concurrently
- Convert multiprocessing code to run on a local or remote cluster
- Solve large problems while using less RAM
7. Effective Computation in Physics: Field Guide to Research with Python
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O Reilly MediaDescription
- Getting Started: Jump into Python, the command line, data containers, functions, flow control and logic, and classes and objects
- Getting It Done: Learn about regular expressions, analysis and visualization, NumPy, storing data in files and Hdf5, important data structures in physics, computing in parallel, and deploying software
- Getting It Right: Build pipelines and software, learn to use local and remote version control, and debug and test your code
- Getting It Out There: Document your code, process and publish your findings, and collaborate efficiently; dive into software licenses, ownership, and copyright procedures