The Practical Guide to Python for Scientists and Engineers

Gain insights into using Python for scientific and engineering applications. Delve into real-world scenarios, learning NumPy, Matplotlib, audio processing, and more through practical, hands-on projects.

Beginner

46 Lessons

7h 30min

Certificate of Completion

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

82 Playgrounds

7 Quizzes

This course includes

82 Playgrounds

7 Quizzes

Course Overview

In this course, you will learn to use Python for real-world scientific/engineering applications. For each topic, there will be a real case scenario where you will build a quick solution in Python to solve the problem. More specifically, you will cover topics such as creating a word counter, NumPy and Matplotlib, audio processing, and a lot more. Throughout each chapter, you will get hands-on experience in building solutions for complex problems that engineers and scientists face every day.

What You'll Learn

The learners will use Python for real-world scientific/engineering applications.

The learners will learn how to use python libraries.

The learners will learn Multithreading in python.

The learners will learn Machine learning in python.

The learners will learn how to work around with Images and Videos in python.

What You'll Learn

The learners will use Python for real-world scientific/engineering applications.

Course Content

Introduction

Get familiar with Python's versatility, key libraries, IPython's functionality, and hands-on exercises.

Why Python?

What is IPython?

Exercise: IPython

Create a Word Counter in Python

Get started with building a Python word counter through file handling and function utilization.

Reading and Printing a File

Counting Words from a File

Counting Number of Lines in a File

for Loop in Python

Count the Number of Exact Lines

Functions in Python

How to Call Python Files?

Quiz: Create a Word Counter

An Introduction to NumPy and Matplotlib

Work your way through NumPy arrays and Matplotlib for efficient data visualization in Python.

List Comprehensions

Plotting Sin and Cos Waves

Plotting Salary vs. Names

Quiz: NumPy and Matplotlib

Python pandas

Grasp the fundamentals of utilizing pandas for data analysis, including visualization, dataset management, and demographic-based insights.

Plotting with pandas

Plotting with pandas According to Age

Plotting Age of Children Compare to Adults

Movie Lens

Reading The Data and Getting Top Rated movies

Printing Top Rated Movies by Viewer Age

Getting Ratings by Gender

Comparing Ratings by Gender and Plotting Them

Quiz: Python pandas

Audio Processing

Solve problems in creating, analyzing, plotting, and cleaning sine waves with Python and FFT.

Create a Sine Wave

Calculate the Frequency of a Sine Wave

Plotting a Noisy Sine Wave

Cleaning a Noisy Sine Wave

Quiz: Audio processing

Image and Video Processing

9 Lessons

Tackle image and video processing fundamentals, including image display, blurring, edge detection, and facial recognition.

MultiThreading vs. Multiprocessing in Python

2 Lessons

Master the steps to distinguish between Python's multithreading and multiprocessing, optimizing performance.

Machine Learning with an Amazon-like Recommendation Engine

4 Lessons

Step through creating a recommendation engine from user behavior and correlations.

Conclusion

2 Lessons

Discover the logic behind applying Python for engineering, problem-solving, and future learning paths.

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

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AI Code Mentor

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