Anything less than a 5-star review does this work, and it's author, an injustice, IMHO. It's awesome.
Clearly this book is intended for the experienced Python developer - and I think it's entirely safe to say that, regardless of your current Python expertise, you will learn a lot from this book. Some of the topics related to concurrency (for example) answered a lot of nagging doubts that I've always had about Python and how (or even if) it can be leveraged in todays (many) multi-core systems. Mark (Summerfield) presents this topic in a way that makes total sense - and you feel like a new chapter (no pun intended) has been opened to you, in terms of advanced uses of Python. Certainly there are techniques I had never come across before - and yet - Mark presents them in such a confidence inspiring way that makes you wonder why you have not come across them before. He makes it seem like it's entirely obvious. Well... it is .. but only after you've read about them in this book!!
The exclusive use of Python 3.n threw me a curve ball. That I didn't expect - and there are no "in Python 2.n" type hints. While this first seemed like a road-block, it turns out to be something else, Python related, that I had been putting off - waiting for some magic "road sign" to appear to tell me to start writing Python 3. This book forces you to deal with this issue - and is yet another skillset stretch - that can only be of long-term benefit to any Python developer.
Bottom line: If you think you know Python - get this book and spend the time working your way through it. It's a skill set builder and worth every $0.01 of the price.
Well done Mark S. Very Highly Recommended.
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- Modern Java in Action: Lambdas, streams, functional and reactive programmingRaoul-Gabriel UrmaPaperback
From the Publisher
59 Specific Ways to Write Better Python
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5+ Hours of Video Instruction
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Definitive Reference Guide
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Master the Powerful Python 3 Standard Library through Real Code Examples
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8+ Hours of Video Instruction
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| Title | Effective Python | Effective Python LiveLessons | Python Essential Reference | The Python Standard Library by Example | Modern Python LiveLessons: Big Ideas and Little Code in Python |
| Author | Brett Slatkin | Brett Slatkin | David Beazley | Doug Hellmann | Raymond Hettinger |
| User Experience Level | Intermediate and advanced level Python programmers | Intermediate and advanced level Python programmers | Assumes that the reader has prior programming experience with Python or another language such as C or Java | Intermediate-level Python programmers | Intermediate-level Python programmers |
| What You Will Learn | How to harness Python’s full power to write exceptionally robust and well-performing code. | The Pythonic way of writing programs, building on a fundamental understanding of Python to help you write programs more effectively. | The core Python language, and the most essential parts of the Python library. | How to utilize the Python 3.x library to jump-start application development. | How to elegantly code powerful solutions succinctly and efficiently with Python. |
| Core Concept | Using the concise, scenario-driven style pioneered in Scott Meyers’ best-selling Effective C++, Brett Slatkin brings together 59 Python best practices, tips, and shortcuts, and explains them with realistic code examples. | Hands-on demonstration of a broad but related set of items designed to provide concise and specific guidance on what to do and what to avoid when writing programs using Python. | Accurate and concise reference to the most important parts of Python. | Presents selected examples from the hundereds of modules in the Python standard linrary demonstrating how to use the most commonly used features of the modules that support Python’s 'batteries included' slogan. | Provides developers with an approach to programming in Python that expresses big ideas succinctly, with the minimum of code, allowing the business logic to shine through. |
| Key Topics Covered | Best practices for writing functions that clarify intention, promote reuse, and avoid bugs; Expressing behaviors with classes and objects; Avoid pitfalls with metaclasses and dynamic attributes; Efficient approaches to concurrency and parallelism; Techniques and idioms for using Python’s built-in modules; Tools and best practices for collaborative development | Methods; Comprehensions and generators; Functions and classes; Concurrency and parallelism; How to make programs more robust | Language features, libraries, and modules; Generators, coroutines, closures, metaclasses, and decorators; How to use Python 2.6’s forward compatibility mode to evaluate code for Python 3 compatibility; Low-level system and networking library modules | Python 3.x’s new libraries, significant functionality changes, and new layout and naming conventions. Expert porting guidance for moving code from 2.x Python standard library modules to their Python 3.x equivalents. | Newer features from Python 3.6, including f-strings and type hinting; ETL (extract-transform-load) techniques to prepare real-world data for analysis; How to improve code reliability |
| Python Versions Covered | 3.x and 2.x | Python 3 | Python 2.6 and 3.0. Omits features of Python 2 that have been removed from Python 3. Does not features of Python 3 that have not been back-ported. | Python 3 In an effort to maintain clear and concise descriptions for each example, the differences between Python 2 and 3 are not highlighted in each chapter. | Python 3.6 |
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