Physics + Python: Solve physics problems with Python

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Physics + Python Solve physics problems with Python [TutsNode.com] - Physics + Python Solve physics problems with Python 10 Introduction to the Numpy module
  • 001 Difference in operations with numpy arrays and lists.mp4 (103.7 MB)
  • 001 Difference in operations with numpy arrays and lists.en.srt (11.9 KB)
  • 004 Additional functions of the numpy module.en.srt (9.0 KB)
  • 003 Arrays may have more than 1 dimension.en.srt (7.8 KB)
  • 005 Representing matrices and matrix multiplication.en.srt (6.2 KB)
  • 007 Exercises.en.srt (5.7 KB)
  • 006 Matrices and linear systems.en.srt (4.9 KB)
  • 010 Solution_ Linear system in an electric circuit.en.srt (4.6 KB)
  • 002 Methods available both in arrays and lists.en.srt (4.1 KB)
  • 008 Solution_ Manipulating arrays.en.srt (3.6 KB)
  • 009 Solution_ new arrays.en.srt (2.7 KB)
  • external-assets-links.txt (0.5 KB)
  • 007 Exercises.mp4 (69.3 MB)
  • 004 Additional functions of the numpy module.mp4 (65.6 MB)
  • 003 Arrays may have more than 1 dimension.mp4 (60.8 MB)
  • 006 Matrices and linear systems.mp4 (54.6 MB)
  • 005 Representing matrices and matrix multiplication.mp4 (54.0 MB)
  • 010 Solution_ Linear system in an electric circuit.mp4 (38.0 MB)
  • 008 Solution_ Manipulating arrays.mp4 (24.9 MB)
  • 002 Methods available both in arrays and lists.mp4 (16.6 MB)
  • 009 Solution_ new arrays.mp4 (13.5 MB)
03 Strings
  • 001 Strings_ methods and manipulation.en.srt (11.1 KB)
  • 002 Exercises.en.srt (3.0 KB)
  • external-assets-links.txt (0.2 KB)
  • 003 Solution_ Text manipulation.en.srt (4.4 KB)
  • 004 Solution_ Table construction.en.srt (3.7 KB)
  • 001 Strings_ methods and manipulation.mp4 (41.1 MB)
  • 002 Exercises.mp4 (39.1 MB)
  • 003 Solution_ Text manipulation.mp4 (20.8 MB)
  • 004 Solution_ Table construction.mp4 (18.8 MB)
01 Introduction
  • 002 Introduction to Python.en.srt (2.8 KB)
  • 003 COLAB environment.en.srt (3.9 KB)
  • 001 Course overview.en.srt (3.2 KB)
  • 001 Course overview.mp4 (38.4 MB)
  • 002 Introduction to Python.mp4 (33.4 MB)
  • 003 COLAB environment.mp4 (17.4 MB)
06 Collections
  • 003 Dictionaries.en.srt (10.2 KB)
  • 001 Tuples.en.srt (9.1 KB)
  • 002 Lists.en.srt (8.8 KB)
  • 010 Solution_ part 1.en.srt (5.8 KB)
  • 007 Solution_ Temperatures in a list.en.srt (5.2 KB)
  • 004 Nested data structures.en.srt (5.1 KB)
  • 011 Solution_ part 2.en.srt (4.1 KB)
  • 006 Solution_ Euclidean distance between atoms.en.srt (3.9 KB)
  • 008 Solution_ Atoms and atomic number.en.srt (3.7 KB)
  • 005 Exercises.en.srt (3.7 KB)
  • 009 Miniproject_ simulating a physics exam.en.srt (3.4 KB)
  • external-assets-links.txt (0.8 KB)
  • 005 Exercises.mp4 (51.5 MB)
  • 010 Solution_ part 1.mp4 (45.6 MB)
  • 003 Dictionaries.mp4 (43.9 MB)
  • 009 Miniproject_ simulating a physics exam.mp4 (42.1 MB)
  • 002 Lists.mp4 (33.3 MB)
  • 007 Solution_ Temperatures in a list.mp4 (30.5 MB)
  • 011 Solution_ part 2.mp4 (28.6 MB)
  • 001 Tuples.mp4 (27.6 MB)
  • 006 Solution_ Euclidean distance between atoms.mp4 (27.1 MB)
  • 004 Nested data structures.mp4 (25.6 MB)
  • 008 Solution_ Atoms and atomic number.mp4 (22.6 MB)
08 Modules in Python
  • 001 Math module.en.srt (9.2 KB)
  • 006 Solution_ Free fall time.en.srt (5.4 KB)
  • 004 Exercises.en.srt (5.4 KB)
  • 003 Random module.en.srt (5.2 KB)
  • 002 Time module.en.srt (4.1 KB)
  • 005 Solution_ Projectile motion.en.srt (3.7 KB)
  • external-assets-links.txt (0.5 KB)
  • 004 Exercises.mp4 (63.8 MB)
  • 006 Solution_ Free fall time.mp4 (37.6 MB)
  • 001 Math module.mp4 (34.5 MB)
  • 005 Solution_ Projectile motion.mp4 (20.1 MB)
  • 003 Random module.mp4 (19.4 MB)
  • 002 Time module.mp4 (18.2 MB)
05 Loops
  • 003 The while loops.en.srt (8.4 KB)
  • 005 Solution_ Menu of formulas.en.srt (8.3 KB)
  • 001 The for loops.en.srt (6.4 KB)
  • 004 Exercises.en.srt (6.3 KB)
  • 007 Solution_ Distance from the soil in a free fall.en.srt (4.5 KB)
  • external-assets-links.txt (0.5 KB)
  • 002 Nested for loops.en.srt (3.3 KB)
  • 006 Solution_ Option menu with loops.en.srt (3.3 KB)
  • 004 Exercises.mp4 (79.1 MB)
  • 005 Solution_ Menu of formulas.mp4 (44.0 MB)
  • 007 Solution_ Distance from the soil in a free fall.mp4 (38.0 MB)
  • 003 The while loops.mp4 (33.8 MB)
  • 006 Solution_ Option menu with loops.mp4 (26.6 MB)
  • 001 The for loops.mp4 (22.3 MB)
  • 002 Nested for loops.mp4 (10.9 MB)
02 Variables and data types
  • 003 User input.en.srt (2.5 KB)
  • 004 Exercises.en.srt (1.9 KB)
  • 005 Solution_ Calculating the force.en.srt (1.9 KB)
  • external-assets-links.txt (0.5 KB)
  • 002 Arithmetics.en.srt (6.4 KB)
  • 001 Variables and data types.en.srt (6.2 KB)
  • 006 Solution_ Gravitational force.en.srt (3.3 KB)
  • 001 Variables and data types.mp4 (25.5 MB)
  • 004 Exercises.mp4 (25.1 MB)
  • 002 Arithmetics.mp4 (22.6 MB)
  • 006 Solution_ Gravitational force.mp4 (15.4 MB)
  • 003 User input.mp4 (10.9 MB)
  • 005 Solution_ Calculating the force.mp4 (9.1 MB)
11 Introduction to plotting in Python
  • 003 Intro to pie charts.en.srt (8.3 KB)
  • 001 Intro to line charts.en.srt (5.5 KB)
  • 006 Solution_ Plotting the trajectory of an object.en.srt (5.3 KB)
  • 002 Intro to bar plots.en.srt (4.0 KB)
  • 005 Solution_ Plotting a sine wave.en.srt (4.0 KB)
  • 004 Exercises.en.srt (3.9 KB)
  • external-assets-links.txt (0.3 KB)
  • 003 Intro to pie charts.mp4 (59.8 MB)

Description


Description

Hi! This course is for those who want to model 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. In this course, we will model high-school level problems of physics with Python using basic commands, data structures, and functions. 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 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 desire to model 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

Requirements

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

Last Updated 7/2021



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Physics + Python: Solve physics problems with Python

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2.4 GB
seeders:29
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Physics + Python: Solve physics problems with Python

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