Physics + Python – Solve basic physics problems with Python

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course overview/introduction

Lecture 2: Introduction to Python

Lecture 3: COLAB environment

Chapter 2: Variables and data types

Lecture 1: Variables and data types

Lecture 2: Arithmetics

Lecture 3: User input

Lecture 4: Exercises

Lecture 5: Solution: Calculating the force

Lecture 6: Solution: Gravitational force

Chapter 3: Strings

Lecture 1: Strings: methods and manipulation

Lecture 2: Exercises

Lecture 3: Solution: Text manipulation

Lecture 4: Solution: Table construction

Chapter 4: Logical operators and conditional statements

Lecture 1: Logical and relational operators

Lecture 2: Conditional statements

Lecture 3: Complex and nested conditions

Lecture 4: Exercises

Lecture 5: Solution: solving a quadratic equation

Lecture 6: Solution: Menu of thermal expansion calculation

Chapter 5: Loops

Lecture 1: The for loops

Lecture 2: Nested for loops

Lecture 3: The while loops

Lecture 4: Exercises

Lecture 5: Solution: Menu of formulas

Lecture 6: Solution: Option menu with loops

Lecture 7: Solution: Distance from the soil in a free fall

Chapter 6: Collections

Lecture 1: Tuples

Lecture 2: Lists

Lecture 3: Dictionaries

Lecture 4: Nested data structures

Lecture 5: Exercises

Lecture 6: Solution: Euclidean distance between atoms

Lecture 7: Solution: Temperatures in a list

Lecture 8: Solution: Atoms and atomic number

Lecture 9: Miniproject: simulating a physics exam

Lecture 10: Solution: part 1

Lecture 11: Solution: part 2

Chapter 7: Functions

Lecture 1: Definition and introduction to functions

Lecture 2: Optional parameters, nested functions and docstrings

Lecture 3: Exercises

Lecture 4: Solution: temperature conversion

Lecture 5: Solution: Function of ideal gas law

Lecture 6: Solution: Function of the gravitational force formula

Lecture 7: Solution: Creating functions for the quadratic equation

Chapter 8: Modules in Python

Lecture 1: Math module

Lecture 2: Time module

Lecture 3: Random module

Lecture 4: Exercises

Lecture 5: Solution: Projectile motion

Lecture 6: Solution: Free fall time

Chapter 9: Errors and exceptions in Python

Lecture 1: Errors and exceptions in Python

Lecture 2: Treating errors and exceptions

Lecture 3: Exercise

Lecture 4: Solution: Error treatment in inputs

Chapter 10: A brief introduction to the Numpy module

Lecture 1: Difference in operations between numpy arrays and lists

Lecture 2: Methods available both in arrays and lists

Lecture 3: Arrays may have more than 1 dimension

Lecture 4: Additional functions of the numpy module

Lecture 5: Representing matrices and matrix multiplication

Lecture 6: Matrices and linear systems

Lecture 7: Exercises

Lecture 8: Solution: Manipulating arrays

Lecture 9: Solution: new arrays

Lecture 10: Solution: Linear system in an electric circuit

Chapter 11: Introduction to plotting (graphs) in Python with Matplotlib

Lecture 1: Intro to line charts

Lecture 2: Intro to bar plots

Lecture 3: Intro to pie charts

Lecture 4: Exercises

Lecture 5: Solution: Plotting a sine wave

Lecture 6: Solution: Plotting the trajectory of an object

Chapter 12: Extra section

Lecture 1: Bonus lecture