An Outline to Mastery Python – Book Think Python

Recently I came across a wonderful book to learn python, Think Python by Allen B. Downey. Which has a great outline to follow on your way to mastery Python from zero. Also this outline is applicable for any programming language.

Introductory:

• Installing Python or start on online environment like pythonanywhere.com
• Run your first program
• Arithmetic operators
• Values and Types
• Formula and natural language

Variables, expressions and statements

• Assignment statements
• Variable names
• Expressions and statements
• Script mode
• Order of operations
• String operations
• Comments

Function

• Function calls
• Math functions
• Composition
• Adding new functions
• Definitions and uses
• Flow of execution
• Parameters and arguments
• Variables and parameters are local
• Stack diagram
• Fruitful functions and void functions
• Why functions

Case Study: Interface Design

• A turtle module
• Simple repetition
• Exercises
• Encapsulation
• Generalization
• Interface design
• Rafactoring
• A development plan
• Docstring

Conditionals and recursion

• Floor division and modulus
• Boolean expressions
• Logical operators
• Conditional execution
• Alternative execution
• Chained conditionals
• Nested conditionals
• Recursion
• Stack diagrams for recursive functions
• Infinite recursion
• Keyboard input

Fruitful functions

• Return values
• Incremental development
• Composition
• Boolean functions
• More recursion
• Leap of faith
• One more example
• Checking types

Iteration

• Reassignment
• Updating variables
• The while statement
• break
• Square roots
• Algorithms

Strings

• A string is a sequence
• len
• Traversal with a for loop
• String slices
• Strings are immutable
• Searching
• Looping and counting
• String methods
• The in operator
• String comparison

Case study: word play

• Reading word lists
• Exercises
• Search
• Looping with indices

Lists

• A list is a sequence
• Lists are mutable
• Traversing a list
• List operations
• List slices
• List methods
• filter and reduce
• Deleting elements
• Lists and strings
• Objects and values
• Aliasing
• List arguments

Dictionaries

• A dictionary is a mapping
• Dictionary as a collection of counters
• Looping and dictionaries
• Reverse lookup
• Dictionaries and lists
• Memos
• Global variables

Tuples

• Tuples are immutable
• Tuple assignment
• Tuples as return values
• Variable-length argument tuples
• Lists and tuples
• Dictionaries and tuples
• Sequences of sequences

Case study: data structure selection

• Word frequency analysis
• Random numbers
• Word histogram
• Most common words
• Optional parameters
• Dictionary subtraction
• Random words
• Markov analysis
• Data structures

Files

• Persistence
• Reading and writing
• Format operator
• Filenames and paths
• Catching exceptions
• Databases
• Pickling
• Pipes
• Writing modules

Classes and objects

• Programmer-defined types
• Attributes
• Rectangles
• Instances as return values
• Objects are mutable
• Copying

Classes and functions

• Time
• Pure functions
• Modifiers
• Prototyping versus planning

Classes and methods

• Object-oriented features
• Printing objects
• Another example
• A more complicated example
• The init method
• The __str__ method
• Operator overloading
• Type-based dispatch
• Polymorphism

Inheritance

• Card objects
• Class attributes
• Comparing cards
• Decks
• Printing the deck
• Add, remove, shuffle and sort
• Inheritance
• Class diagrams

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