Python Distilled (Developer's Library)

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Python Distilled (Developer's Library)

Python Distilled (Developer's Library)

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Chapter 2 introduces data and does it as if Python's data structures were like those in Java, or any other object-oriented language. You learn about sets, dictionaries and so on and something about iterables and sequences, but there's no real emphasis on the way Python makes use of mixins to create classes with the characteristics of the standard data types. In Python any class can be an iterable,not just lists, and this has nothing much to do with inheritance. Rather than trying to cover every possible feature and quirk of a 30-year-old language, this pragmatic guide provides a concise narrative related to fundamental programming topics such as data abstraction, control flow, program structure, functions, objects, and modules-topics that form the foundation for Python projects of any size. No programming language is complete without input and output methods, so chapter 9 covers these topics, including data encoding, command-line options, environment variables, file I/O, and data serialization. Together with chapter 10, they also present some useful modules and functions from the Standard Library. It is not an extensive description, since the detailed documentation can easily be found online, nowadays. It's more like a roadmap where you can find a brief description of some useful tools, that you can then go investigate more if you need them. Python educator Dave Beazley's concise handbook focuses on the essential core of the Python programming language, with code examples to illuminate how Python works and how to structure programs that can be more easily explained, tested, and debugged. Rather than trying to cover every possible feature and quirk of a 30-year-old language, this pragmatic guide provides a concise narrative related to fundamental programming topics that form the foundation for Python projects of any size including

Chapter 1 is a lightning overview of Python from variables to objects. It doesn't go deep into anything - just presents the basic ideas. For example, in the section on functions it just tells you how to define a Python function as if it was any other language and doesn't mention the important fact that a function is an object. There is a later chapter dedicated to functions so this isn't unreasonable. Section 9.9, pg. 264. for filename in path.Path('dirname').glob('*.txt') should be for filename in pathlib.Path('dirname').glob('*.txt'). Table 1.6, pg. 10. Description for s.endswith(prefix [,start [,end]]) would be better if it used suffix instead

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Python Distilled: Expert Insight for Modern Python (3.6+) Development from the Author of Python Essential Reference If you read this book very carefully you will notice that Python is different and has features that other languages don't have that could be useful to you. But in the main the book presents Python as if it was like Java or C++ and only then gets around to pointing out that how things actually work. For example, not emphasizing that a class is an object and how instances of the class make use of this object means that you can't really understand what is going on. This might not matter as long as you don't try and do anything out of the ordinary, but as soon as you move off from the well-beaten path, either intentionally or because you have an error to debug, then making sense of it is harder. I don't think this book brings out the unity of the overall approach Python brings to programming. It is mostly all there in the book somewhere, but you have to go looking for it. This book would be suitable for a beginner looking to improve their Python without moving too far outside of their comfort zone. Throughout, the book tends to present small examples and short code samples as it tries to explain the Python programming language itself. It does not cover the techniques and design or architectural patterns that are usually required in larger-scale projects. Once again, however, there are other (some of them much longer) books for that purpose. Conclusion self = cls. __new__( cls) # Make instance self. year = t. tm_year self. month = t. tm_mon self. day = t. tm_mday return self

Throughout the book, the book tends to present small examples and short code samples, as it tries to explain the python programming language itself. So, it does not cover the techniques and design or architectural patterns that are usually required in larger scale projects. But, once again, there are other (some of them much longer) books for that purpose. Conclusions Section 9.3, pg. 250. "The general format of the format specifier should be [fill][align][sign][0][width][,][.precision][type] where each part enclosed in [] is optional." Chapter 7 revisits class and here we learn about how to write a class definition, but not exactly how the class works, how methods are created and how inheritance works. We do find out some deeper things later on, but it isn't until the closing sections of the chapter that we discover that a class is an object and learn aboutmetaclass.Getting a clear idea of what is going on with class and instance is difficult. Section 1.8, pg. 15. ['SYM', '123', '456.78'] should include the newline and be ['SYM', '123', '456.78\n']This is a pragmatic book that presents some of the most important topics about the Python programming language in a concise form, designed to make it easier to find out the most relevant information bits in a context where resources abound and frequently are just too overwhelming." Table 1.2, pg. 5. Description for round(a, [n]) should state that it rounds to the nearest multiple of 10 to the -nth power. If you're a complete beginner to programming, I'd recommend starting with a different book. But Python Distilled could easily be the second book on your list once you have some experience.



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