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Physics + Python - Solve basic physics problems with Python

Name: Physics + Python - Solve basic physics problems with Python
Rating: 4.5 (67 reviews)

Learn how to use the popular programming language Python to solve high school-level problems of physics

Created byGuilherme Matos Passarini, phD

Last updated 2/2022

English

What you'll learn

You'll learn how to model problems of physics computationlly
You'll develop algorithmic thinking
You'll review some concepts of physics
You'll learn one of the most popular programming languages

Course content

12 sections • 71 lectures • 4h 59m total length

Course overview/introduction2:04
Goal: to introduce the course and explain how it is structured
Introduction to Python1:53
Goal: to introduce the Programming language Python
COLAB environment3:22
Goal: to introduce the COLAB environment

Variables and data types4:57
Goal: to introduce the concept of variables and data types to solve physics problems
Arithmetics5:11
Goal: to introduce the concept of arithmetic operators to solve physics problems
User input2:15
Goal: to introduce the concept of user input to solve physics problems
Exercises1:25
Goal: to reinforce the learning process with physics exercises
Solution: Calculating the force1:41
Goal: to reinforce the learning process with physics exercises
Solution: Gravitational force2:37
Goal: to reinforce the learning process with physics exercises

Logical and relational operators4:44
Goal: to introduce the concept of relational and logical operators to solve physics problems
Conditional statements5:11
Goal: to introduce the concept of conditionals to solve physics problems
Complex and nested conditions4:24
Goal: to introduce the concept of complex and nested conditions to solve physics problems
Exercises4:57
Goal: to reinforce the learning process with physics exercises
Solution: solving a quadratic equation5:39
Goal: to reinforce the learning process with physics exercises
Solution: Menu of thermal expansion calculation5:44
Goal: to reinforce the learning process with physics exercises

The for loops5:27
Goal: to introduce the concept of loops to solve physics problems
Nested for loops2:51
Goal: to introduce the concept of loops to solve physics problems
The while loops7:27
Goal: to introduce the concept of while loops to solve physics problems
Exercises4:27
Goal: to reinforce the learning process with physics exercises
Solution: Menu of formulas7:12
Goal: to reinforce the learning process with physics exercises
Solution: Option menu with loops2:43
Goal: to reinforce the learning process with physics exercises
Solution: Distance from the soil in a free fall3:44
Goal: to reinforce the learning process with physics exercises

Tuples6:39
Goal: to introduce the concept of tuples to solve physics problems
Lists6:30
Goal: to introduce the concept of lists to solve physics problems
Dictionaries7:56
Goal: to introduce the concept of dictionaries to solve physics problems
Nested data structures4:27
Goal: to introduce the concept of nested data structures to solve physics problems
Exercises2:53
Goal: to reinforce the learning process with physics exercises
Solution: Euclidean distance between atoms3:18
Goal: to reinforce the learning process with physics exercises
Solution: Temperatures in a list4:16
Goal: to reinforce the learning process with physics exercises
Solution: Atoms and atomic number3:06
Goal: to reinforce the learning process with physics exercises
Miniproject: simulating a physics exam2:41
Goal: to reinforce the learning process with physics exercises
Solution: part 14:41
Goal: to reinforce the learning process with physics exercises
Solution: part 23:11
Goal: to reinforce the learning process with physics exercises

Definition and introduction to functions5:46
Optional parameters, nested functions and docstrings6:45
Exercises4:09
Goal: to reinforce the learning process with physics exercises
Solution: temperature conversion2:49
Goal: to reinforce the learning process with physics exercises
Solution: Function of ideal gas law2:52
Goal: to reinforce the learning process with physics exercises
Solution: Function of the gravitational force formula3:21
Goal: to reinforce the learning process with physics exercises
Solution: Creating functions for the quadratic equation4:21
Goal: to reinforce the learning process with physics exercises

Difference in operations between numpy arrays and lists8:34
Methods available both in arrays and lists3:08
Arrays may have more than 1 dimension5:47
Additional functions of the numpy module6:45
Representing matrices and matrix multiplication4:47
Explore representing matrices as two-dimensional arrays in Python, compare element-wise multiplication with proper matrix multiplication using dot, and understand shapes and compatibility for multiplying matrices.
Matrices and linear systems3:48
Exercises3:54
Goal: to reinforce the learning process of Python applying on physics exercises
Solution: Manipulating arrays3:04
Goal: to reinforce the learning process of Python applying on physics exercises
Solution: new arrays2:08
Goal: to reinforce the learning process of Python applying on physics exercises
Solution: Linear system in an electric circuit3:22
Goal: to reinforce the learning process of Python applying on physics exercises

Requirements

Basic knowledge of Math
Basic knowledge of Physics
No prior knowledge in Programming is required

Description

Did you know that, nowadays, programming is everywhere, especially in science? This course is for those who want to model basic problems of physics computationally. In this course, we will use one of the most popular programming languages: Python! Python is a programming language used in different fields, such as data science, statistics, artificial intelligence, and also scientific computing.

Here, we will use this programming language to solve basic problems of physics. By basic problems of physics, I mean high school level problems, like calculating the velocity, solving electric circuits, thermal dilation, etc. A perfect match for those that are in basic scientific areas and want to start learning how to program!

At the end of the course, you will have a brief introduction to two third-party libraries of Python:

1-Numpy, which is primarily used for number crunching and linear algebra, and

2-Matplotlib, the most commonly used library to plot data in Python.

Each session of the course is divided into three parts:

1-Basic Python lectures:

In these lessons, you will learn how to use the basic commands, data structures and functions of Python

2-Exercises:

In these lessons, I propose exercises to be solved and explain how these exercises are supposed to be solved

3-Solution:

In these videos, I show you the solution of the exercises step-by-step

Throughout this course, you'll solve 20+ exercises to model problems of physics with Python, including:

Calculating the force
Gravitational force formula
Text manipulation with strings
Thermal expansion formulas
Solving a quadratic equation
Building a menu to choose formulas
Calculating the Euclidean distance between two atoms
Simulating a physics exam
Creating functions for temperature conversion
Plotting the trajectory of an object

and many more!!

Therefore: if you wish to model basic physics' problems and learn one of the most popular programming languages, then this course is for you!

Who this course is for:

Students/professionals of math/physics
Students/professionals of engineering
Students/professionals of computer science
Students/professionals of chemistry
People interested in the subject

Physics + Python - Solve basic physics problems with Python

What you'll learn

Explore related topics

Course content

Introduction3 lectures • 7min

Variables and data types6 lectures • 18min

Strings4 lectures • 17min

Logical operators and conditional statements6 lectures • 31min

Loops7 lectures • 34min

Collections11 lectures • 50min

Functions7 lectures • 30min

Modules in Python6 lectures • 26min

Errors and exceptions in Python4 lectures • 17min

A brief introduction to the Numpy module10 lectures • 45min

Requirements

Description

Who this course is for: