Tuples are immutable sequence types
Literal syntax is optional parentheses around a comma-separated list.
Notable syntax for single element tuples utilizing the trailing comma.
Tuple unpacking - useful for multiple return values and swapping
Strings
String concatenation is most efficiently performed with the
join()
method rather than the addition or augmented assignment operators.The
partition()
method is a useful and elegant string parsing tool.The
format()
method provided a powerful means of replacing placeholders with stringified values.
Ranges
The
range
objects represent arithmetic progressions.The
enumerate()
built-in function is often a superior alternative torange()
for generating loop counters
Lists
Lists support indexing from the end of the list with negative indices
Slice syntax allows us to copy all, or part, of a list.
The full slice is a common Python idiom for copying lists, although the
copy()
method andlist()
constructor are less obscure.List (and other collection) copies...
The Python Apprentice
By :
The Python Apprentice
By:
Overview of this book
Experienced programmers want to know how to enhance their craft and we want to
help them start as apprentices with Python. We know that before mastering Python you need to learn the culture and the tools to become a productive member of any Python project. Our goal with this book is to give you a practical and thorough introduction to Python programming, providing you with the insight and technical craftsmanship you need to be a productive member of any Python project. Python is a big language, and it’s not our intention with this book to cover everything there is to know. We just want to make sure that you, as the developer, know the tools, basic idioms and of course the ins and outs of the language, the standard library and other modules to be able to jump into most projects.
Table of Contents (21 chapters)
Title Page
Credits
About the Authors
www.PacktPub.com
Customer Feedback
Preface
Free Chapter
Getting started
Strings and Collections
Modularity
Built-in types and the object model
Exploring Built-in Collection types
Exceptions
Comprehensions, iterables, and generators
Defining new types with classes
Files and Resource Management
Unit testing with the Python standard library
Debugging with PDB
Afterword – Just the Beginning
Virtual Environments
Packaging and Distribution
Installing Third-Party Packages
Customer Reviews