By Tarek Ziadé
Python is a dynamic programming language, utilized in a variety of domain names by way of programmers who locate it uncomplicated, but robust. From the earliest model 15 years in the past to the present one, it has always advanced with productiveness and code clarity in brain.
Even for those who locate writing Python code effortless, writing code that's effective and straightforward to keep up and reuse isn't so effortless. This booklet will aid you just do that: it's going to express you ways Python improvement may be performed. Python professional Tarek Ziadé takes you on a realistic journey of Python software improvement, starting with constructing the easiest improvement atmosphere, and alongside the way in which taking a look at agile methodologies in Python, and making use of confirmed object-oriented rules for your layout.
What you'll examine from this publication?
- Set up a effective improvement atmosphere
- Customize the Python recommended and set up setuptools
- Write effective syntax: iterators, turbines, and interior decorators
- Build arguments by way of layout and stick with the simplest practices for engaged on API
- Build, free up, and distribute your purposes
- Write an program in line with numerous eggs
- Distribute and installation your program with zc.buildout
- Build and liberate your programs and manage a improvement cycle
- Manage your code with disbursed model regulate and non-stop integration
- Use an iterative and incremental method of write software program
- Practice Test-Driven improvement
- Profile and optimize your code to hurry up your courses
- Apply layout styles in your applications
This booklet is an authoritative exploration of Python most sensible practices and functions of agile methodologies to Python, illustrated with functional, real-world examples.
Who this e-book is written for?
This publication is for Python builders who're already development functions, yet are looking to construct higher ones by way of employing top practices and new improvement innovations to their tasks.
The reader is predicted to have a valid historical past in Python programming.
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Additional info for Expert Python programming learn best practices to designing, coding, and distributing your Python software
The function saves its execution context and can be resumed later if necessary. For example (this is the example provided in the PEP about iterators), the Fibonacci series can be written with an iterator: >>> ... ... ... next() for i in range(10)] 5, 8, 13, 21, 34, 55, 89, 144, 233] This function returns a generator object, a special iterator, which knows how to save the execution context. It can be called indefinitely, yielding the next element of the suite each time. The syntax is concise, and the infinite nature of the algorithm does not disturb the readability of the code anymore.
There are two paths to set such an environment: either by building it with a composition of small tools (the old school way), or by using an all-in-one tool (the new school way). Of course, there are various blends between these, and every developer should build his or her environment the way he or she likes it. Using an Editor and Complementary Tools This kind of environment is the longest one to prepare, but probably the most productive one. This is because you will be able to tweak it to make it fit with the way you are working.
Search PyDev for an Eclipse plug-in, and double-click on it in the plug-in list tree on the left. This will add it with all its dependencies. You can then click on the Download button on the top right corner to get your archive. [ 30 ] Chapter 1 Uncompress the archive on your system, for example in c:\Program Files\ Eclipse under Windows, and in your home directory under Linux or Mac OS X. You will find a shortcut in this folder to launch the application. Eclipse will then be ready to use. [ 31 ] Getting started Summary This chapter covered four points: • Python installation: Python comes in many flavors, but this book focuses on CPython.