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Python String Format Cookbook. Every time I use Python’s string formatter, version 2.7 and up, I get it wrong and for the life of me I can’t figure out their documentation format.
I got very used to the older % method. So I started to create my own string format cookbook. Let me know in the comments of any other good example to include. String Formatting Cookbook Number Formatting The following table shows various ways to format numbers using python’s newish str.format(), examples for both float formatting and integers. To run examples use print("FORMAT".format(NUMBER)); So to get the output of the first example, you would run: print("{:.2f}".format(3.1415926)); string.format() basics Here are a couple of example of basic string substitution, the {} is the placeholder for the substituted variables. s1 = "so much depends upon {}".format("a red wheel barrow") s2 = "glazed with {} water beside the {} chickens".format("rain", "white") Older “%” string formatter Formating a floating point number: Multiple Substitution Values.
(the eff-bot guide to) The Standard Python Library. (the eff-bot guide to) The Standard Python Library [home] [zone] Based in part on over 3,000 newsgroup articles written by Python veteran Fredrik Lundh since 1995, this book provides brief descriptions and sample scripts for all standard modules in the Python 2.0 library.
For more information on the book and the print editions, see (the eff-bot guide to) The Standard Python Library. The effbot.org edition (based on the 2001 O’Reilly edition) Individual pages: The Standard Python Library (HTML) Printable chapters: Preface1. Note: All chapters are distributed as PDF files; to read them, you need Adobe Reader (formerly known as Adobe Acrobat) or compatible software. Updates. Python. Python Language. The Django template language. Being a web framework, Django needs a convenient way to generate HTML dynamically.
The most common approach relies on templates. A template contains the static parts of the desired HTML output as well as some special syntax describing how dynamic content will be inserted. For a hands-on example of creating HTML pages with templates, see Tutorial 3. A Django project can be configured with one or several template engines (or even zero if you don’t use templates). Django ships built-in backends for its own template system, creatively called the Django template language (DTL), and for the popular alternative Jinja2.
Django defines a standard API for loading and rendering templates regardless of the backend. The Django template language is Django’s own template system. For historical reasons, both the generic support for template engines and the implementation of the Django template language live in the django.template namespace. New in Django 1.8: Configuration¶ Usage¶
Beautiful Soup: We called him Tortoise because he taught us.
[ Download | Documentation | Hall of Fame | For enterprise | Source | Changelog | Discussion group | Zine ] You didn't write that awful page. You're just trying to get some data out of it. Beautiful Soup is here to help. Since 2004, it's been saving programmers hours or days of work on quick-turnaround screen scraping projects.
Beautiful Soup is a Python library designed for quick turnaround projects like screen-scraping. Beautiful Soup provides a few simple methods and Pythonic idioms for navigating, searching, and modifying a parse tree: a toolkit for dissecting a document and extracting what you need.
Book-example/superlists at chapter_01 · hjwp/book-example. Test-Driven Development in Python - O'Reilly Media. By Jason Diamond 12/02/2004 Introduction Test-driven development is not about testing.
Test-driven development is about development (and design), specifically improving the quality and design of code. The resulting unit tests are just an extremely useful by-product. That's all I'm going to tell you about test-driven development. To make this project fun, we'll do it in Python.
More Test-Driven Development in Python. By Jason Diamond 02/03/2005 In the first article in this series, Test-Driven Development with Python, Part 1, I started to build an event tracking application using the principle of test-driven development.
Before writing any new code or making changes to any existing code, I wrote a failing test first. When the new test started passing, I stopped and moved on. It's a simple technique, but requires discipline in order to apply it successfully. If you haven't read part one yet, I suggest you do so before continuing on in this article.
Testing Your Code. Testing your code is very important.
Getting used to writing the testing code and the running code in parallel is now considered a good habit. Used wisely, this method helps you define more precisely your code’s intent and have a more decoupled architecture. Some general rules of testing: A testing unit should focus on one tiny bit of functionality and prove it correct.Each test unit must be fully independent. Each of them must be able to run alone, and also within the test suite, regardless of the order they are called. The Basics Unittest. Start Here - Python Testing.
Biblioteka Pythona - Django - programowanie.