|E book Particulars :|
Python Tricks A Buffet of Awesome Python Features
Python Tricks Contents
- Patterns for Cleaner Python
- Efficient Features
- Lessons & OOP
- Widespread Knowledge Constructions in Python
- Looping & Iteration
- Dictionary Tricks
- Pythonic Productiveness Strategies
- Closing Ideas
Foreword to Python Tricks A Buffet of Awesome Python Features
It’s been virtually ten years since I first bought acquainted with Python as a programming language. Once I first realized Python a few years in the past, it was with slightly reluctance.
I had been programming in a unique language earlier than, and all of a sudden at work, I used to be assigned to a unique staff the place everybody used Python.
That was the start of my very own Python journey. Once I was first launched to Python, I used to be advised that it was going to be simple, that I ought to be capable of decide it up rapidly.
Once I requested my colleagues for sources for studying Python, all they gave me was a hyperlink to Python’s official documentation. Studying the documentation was complicated at first, and it actually took me some time earlier than I even felt snug navigating by means of it.
Typically I discovered myself needing to search for solutions in StackOverflow. Coming from a unique programming language, I wasn’t in search of simply any useful resource for studying how one can program or what lessons and objects are.
I used to be in search of particular sources that might train me the options of Python, what units it aside, and the way writing in Python is completely different than writing code in one other language. It actually has taken me a few years to completely recognize this language.
As I learn Dan’s guide, I stored considering that I needed I had entry to a guide like this after I began studying Python a few years in the past. For instance, one of the various distinctive Python options that stunned me at first was listing comprehensions.
As Dan mentions within the guide, a story of somebody who simply got here to Python from a unique language is the best way they use for-loops.
I recall one of the earliest code evaluation feedback I bought after I began programming in Python was, “Why not use listing comprehension right here?” Dan explains this idea clearly in part 6, beginning by exhibiting how one can loop the Pythonic means and constructing all of it the best way as much as iterators and turbines.
In chapter 2.5, Dan discusses the alternative ways to do string formatting in Python. String formatting is one of these issues that defy the Zen of Python, that there ought to solely be one apparent strategy to do issues.
Dan exhibits us the alternative ways, together with my favourite new addition to the language, the f-strings, and he additionally explains the professionals and cons of every methodology.
The Pythonic Productiveness Strategies part is one other nice useful resource. It covers features past the Python programming language, and in addition consists of recommendations on how one can debug your applications, how one can handle the dependencies, and offers you a peek inside Python bytecode.
It really is an honor and my pleasure to introduce this guide, Python Tricks, by my pal, Dan Bader. By contributing to Python as a CPython core developer, I get related to many members of the neighborhood. In my journey, I discovered mentors, allies, and made many new pals.
They remind me that Python is not only in regards to the code, Python is a neighborhood. Mastering Python programming isn’t nearly greedy the theoretical features of the language.
It’s simply as a lot about understanding and adopting the conventions and greatest practices utilized by its neighborhood. Dan’s guide will make it easier to on this journey. I’m satisfied that you simply’ll be extra assured when writing Python applications after studying it.
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