Python Programming Advanced: a QuickStudy Laminated Reference Guide

ISBN: 1423252209

Author: Nixon, Robin

Condition: New

Essentials of advanced Python language features in this quick reference created for developers of all skill levels, goes perfectly with the QuickStudy Python Programming Language guide. This handy 6 page laminated guide is a concise desktop reference to key concepts behind Python logic, syntax, and operation. Author Robin Nixon worked with computers in the 80s and started developing websites in the 90s becoming an expert and writing over 40 programming books and over 500 articles for top computer magazines. With his expertise in the field and writing to his audience in our succinct and organized QuickStudy format, this reference has more quality actionable facts per page than any book or website. Designed for quick access to the facts you need, this inexpensive tool is an easy add to your programming toolbox. As our programming reference guides climb in sales to best-selling status, it is clear that print is not dead and this handy desktop tool is an unbeatable value.6 page laminated guide includes: Background History Key Features of Python Regular Expressions (Regex) Recursion & Iteration Type Hints & Static Typing Function Signatures Typing Variables Common Types from Typing Lists & Tuples Lists List Operations Tuples List & Tuple Length Dictionaries Create a Dictionary Access Dictionary Values Modify a Dictionary Check Keys & Dictionary Length Loop Through a Dictionary Dictionary Methods Handle Missing Keys & Count Elements Sets Create Sets Properties Add & Remove Elements Set Operations Check Membership & Set Length File Handling Open & Close Files Read Files Write to Files Read & Write Binary Files Error Handling Common Python Errors Use try, except & else to Handle Errors Catch Any Error Use finally for Cleanup Raise Custom Exceptions Use assert for Debugging Context Managers Using with Create Your Own Context Manager Contextlib for Simpler Managers Object-Oriented Programming (OOP) Classes & Objects Inheritance Polymorphism Data Classes Default Values & Type Annotations Immutability Method Overriding Self Type (Python 3.11+) Abstract Base Classes Modules & Packages Advanced Pattern Matching Async Programming Unit Testing Basic Test Case Common Assert Methods Run Tests Mock & Patch with unittest.mock Property-Based Testing with Hypothesis Custom Error Handling Advanced Data Structures NamedTuples Enums Decorator Techniques Efficiency & Optimization Dates & Times