Learning Python

• Learning Python
  • References
    • hartl
  • Links
    • PEP 8
    • Some Python Doc Sides
    • Emojis
  • Notes
    • Pythonic/ unPythonic programming
    • Notable differences between Python and most other languages
    • "Literals" vs. Comprehensions
  • Overview
    • Chapter 1
    • Chapter 2 - String Basics
    • Chapter 3 - Lists
    • Chapter 4 - Other Native Objects
    • Chapter 5 - Functions and Iterators
    • Chapter 6 - Functional Programming
    • Chapter 7 - Objects and Classes

References

hartl

• Hartl, Michael: Learn enough Python to be dangerous, Humble Bundle Pearson, 2023
  Source Code | GitHub

Links

PEP 8

• PEP 8 - Style Guide for Python Code

Some Python Doc Sides

• Index | docs
• Built-in Functions | docs
• Built-in Types | docs
• 5. Data Structures | docs
• 8. Compound statements | docs

Emojis

• emojipedia

Notes

Pythonic/ unPythonic programming

• see hartl p.2

Notable differences between Python and most other languages

• see hartl p.6

"Literals" vs. Comprehensions

["ant", "bear", "spider"]                        # Literal list
("ant", "bear", "spider")                        # Literal tuple
{1, 2, 3, 3, 4, 1}                               # Literal set
{"stop": "red", "wait": "yellow", "go": "green"} # Literal dictionary

[]                                               # empty list
()                                               # empty tuple
{}                                               # empty dictionary
set()                                            # empty set

states = ["Kansas", "North Dakota", "Nebraska", "South Dakota"]
# List comprehension ➡️ ['north-dakota', 'south-dakota']
["-".join(state.lower().split()) for state in states if len(state.split()) > 1]

# Dictionary comprehension ➡️ {6: 'Kansas', 8: 'Nebraska'}
{len(state): state for state in states if len(state.split()) == 1}

", ".join(
...   # Generator comprehension ➡️ 'kansas, nebraska'
...   state.lower() for state in states if len(state.split()) == 1
... )

>>> from itertools import chain
>>> list(chain.from_iterable([state.split() for state in states]))
['Kansas', 'North', 'Dakota', 'Nebraska', 'South', 'Dakota']
# Set comprehension
>>> {element for element in list(chain.from_iterable([state.split() for state in states]))}
{'Kansas', 'South', 'Dakota', 'Nebraska', 'North'}

Overview

Chapter 1

• 1.2 Python in a REPL
• 1.2 Python in a File
• 1.2 Python in a Shell Script
• 1.2 Python in a Web Server

Chapter 2 - String Basics

• 2.1 String Basics
• 2.2 String Concatenation and Interpolation
• 2.3 Printing
• 2.4 Length, Booleans, and Control Flow
• 2.4 Length, Booleans, and Control Flow | Boolean Context
• 2.5 Methods
• 2.6 String Iteration

Chapter 3 - Lists

• 3.1 Splitting
• 3.2 List Access
• 3.3 List Slicing
• 3.4 More List Techniques
  • 3.4.1 Element Inclusion
  • 3.4.2 Sorting, Reversing, and Comparison
  • 3.4.3 Appending and Popping
  • 3.4.4 Undoing a Split - Join
• 3.5 List Iteration
• 3.6 Tuples and Sets

Chapter 4 - Other Native Objects

• 4.1 Math
• 4.2 Time and Datetime
• 4.3 Regular Expressions
• 4.4 Dictionaries
• 4.5 Application - Unique Words

Chapter 5 - Functions and Iterators

• 5.1 Function Definitions
• 5.1.1 First Class Functions
• 5.1.2 Variable and Keyword Arguments
• 5.2 Functions in a file
• 5.3 Iterators
• 5.3.1 Generators

Chapter 6 - Functional Programming

• 6.1 List Comprehensions
• 6..2 List Comprehensions with Conditions
• 6.3 Dictionary Comprehensions
• 6.4 Generator and Set Comprehensions
• 6.4.1 Generator Comprehensions
• 6.4.2 Set Comprehensions
• 6.5 Other Functional Techniques

Chapter 7 - Objects and Classes

• 7.1 Defining Classes
• 7.2 Custom Iterators
• 7.3 Inheritance
• 7.4 Derived Classes