Python

Intro

• Numbers and math
• Variables and strings
• Data types & Data Structures
• Looping in Python
• enumerate()

Data structures

• List
  • List Comprehension
• Dictionary (Hashmap)
  • Dictionary comprehension
• Tuples
• Sets (includes set comprehension)

Functions

• Functions in Python
  • Common random functions
  • Documenting functions
  • *args parameter
    • Using * as an argument (iterable unpacking)
  • **kwargs parameter
    • Using ** as an argument (dictionary unpacking)
  • Parameter ordering
• Scope
• Lambdas
• Built in functions
  • map function
  • filter function
  • Any and all function
  • sorted
  • min and max
  • reversed
  • Abs(), Sum(), Round()
  • zip

Error Handling

• Most type of common errors
• Raising our own errors!
• Try,Except,Else,Finally Blocks
• pdb

Modules

• Why?
  • Keep python files small
    • ex) generating random numbers…!
  • Reuse code across our own files by importing
• A module is just another Python file!!
• Types : custom, built-in
• Built-in Modules
• Custom Modules
• External Modules
• [[The name variable]]

OOP (Object Oriented Programming)

• OOP Intro
  • classes, objects, encapsulation, abstraction
• Creating classes
  • Instance methods+attributes, class methods + attributes
  • the __repr__ method
• Underscores and Dunders
• OOP advanced
  • Inheritance
  • Properties
• Polymorphism
• Exercises
  • Deck of Cards exercise
  • GrumpyDict

Iterators and generators

• Iterator vs Iterable
• Generators

File IO

• File input and output
• Working with datasets (CSV, JSON, images, etc) → crucial for ppl in data science, ml, anything with data
• File IO
  • open, read, seek, readline, readlines, close, with
• Modes for Opening files

Working With CSV and Pickling

• Reading with CSV files
• Writing to CSV files
• Pickling
• JSON pickling

Testing with Python

Regular Expressions

Decorators

Notes

• Dynamic vs Static
• Compile time vs runtime

Leetcode

• Group Anagrams

Related

• The Numpy Stack