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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