Preface
Foundation
Basics
1. Programming Languages
2. Print
3. Data Types
4. Variables
5. 1. Exercise: Print Values
6. Mathematical Operators
7. Input
8. Casting
9. 1. Exercise: Using Operators
10. Project 1:
Conditional Statements
1. Comparison Operators
2. Boolean Algebra
3. Conditional Chaining
4. if
5. else
6. elif
7. Pseudocode
8. Project 2:
While Loops
1. Loop Keywords
2. 1. break
  2. continue
3. Project 3:
For Loops
1. range function
2. Project 4:
Functions
1. parameters vs arguments
2. Variable scoping
3. Project 5:
Strings
1. String Indexing
2. String Functions
3. Immutability
4. for each
5. Project 6:
Lists
1. Indexing
2. List Functions
3. List Comprehension
4. Project 7:
Tuples
1. Immutability
2. Project 8:
Sets
1. Project 9:
Dictionaries
1. Project 10:
Intermediate
Recursion
1. Base case
2. Recursive case
3. Project 11:
Exception Handling
1. try, except model
2. Multiple exceptions
3. finally
4. Project 12:
File I/O
1. open
2. 1. modes
3. closing
4. Reading Files
5. Writing Files
6. Project 13:
Test Driven Development
1. unittest
2. Project 14:
Command Line Arguments
1. sys.argv
2. Project 15:
Advanced
Object Oriented Programming
1. Classes and Objects
2. 1. self keyword
  2. Initializer
  3. Double Underscores
  4. Method Overloading
3. Inheritance
4. 1. super
  2. is-a vs has-a
5. Context Manager
6. Project 16:
Functional Programming
1. Decorators
2. Nested Functions
3. Currying
4. Context Manager
5. Project 17:
Dynamic Programming
1. Project 18:
Algorithms
1. Sort
2. 1. Insertion Sort
  2. Bubble Sort
  3. Merge Sort
  4. Project 19:
3. Search
4. 1. Sequential Search
  2. Binary Search
  3. Project 20:
Data Structures
1. Set
2. 1. Project 21:
3. Queue
4. 1. Project 22:
5. Stack
6. 1. Project 23:
7. LinkedList
8. 1. Project 24:
9. Binary Search Tree
10. 1. Project 25:
11. Map
12. 1. Project 26:
13. Graph
14. 1. Project 27:
15. Heap
16. 1. Project 28:
Concurrency and Threading
1. multithreading
2. multiprocessing
3. Project 29:
Examples
Web App
1. flask
2. fastapi
3. django
4. Project 30:
Data Analysis
1. pandas
2. matplotlib
3. Project 31:
GUI
1. tkinter
2. pysimplegui
3. Project 32:
Automation
1. os module
2. Project 33:
Web Scraping
1. BeautifulSoup4
2. Selenium
3. Project 34:
Games
1. turtle
2. pygame
3. Project 35:
Appendix
IEEE_754, Binary, and Floating Point Values
Exercise Solutions

Chapter 1

In this chapter, we will have our first introduction to the main core concepts in programming. These concepts will appear in many other programming languages. These concepts are printing, data types, variables, and mathematical operations. While the syntax of programming these will vary between languages, many will use the same core concepts, but write them in a different way. Before the introduction to the programming concepts, an introduction into programming languages is provided. This introduction explains what programming languages are, along with how they differ. This section on Programming Languages provides a deeper understanding of why certain languages are chosen over other languages for certain tasks.

Learning Python Through Projects

Chapter 1