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.

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jupter.tar.gz

notebook

obesity_plot_gender

print_gender_pandas

create_sine_wave

notebook_exercise

range

print_gender_pandas_remove_NaN

print_gender_year

print_data_age

print_data_age_with_year

print_data_age_remove_NaN

obesity_plot_age_simple

obesity_plot_age_clear

print_data_age_under_16

print_data_age_25_34

obesity_plot_children_vs_adults

print_movie_top_rated

print_movies_oldie_teen

print_movies_by_gender

print_movies_for_women

print_movies_by_gender_loc

print_movies_diff_gender

movies_diff_gender_plot

print_u_data

print_movies_oldie_index

print_movies_oldies

print_movies_teens

display_image_nouse

grey_image

blur_image

edge_detection_low

edge_detection_high

plot_sin_wave

create_wave_file

display_again

print_frequencies

count_objects

detect_faces

detect_faces_little_mix

count_exact_lines

webcam_detection

single_thread

find_correlation

webcam_face_detection

motion_detection

motion_detection_live

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.

The Practical Guide to Python for Scientists and Engineers

# What is edge detection?

Edge detection is a handy function in image processing. Edge detection means identifying  where the boundariesof an object in an image are. The algorithm looks for things like changes in color and brightness to find the edges. Dr. John Canny authored "A Variational Approach to Edge Detection" and is the creator of the widely used Canny edge detector. We’ll be using his algorithm below.

Let’s start with the given code widget. The first argument is the image in line 8 of the code widget. Next, we’re going to convert it to grayscale as we did in the previous lesson. After that, we’ll blur it as we can see in line 14 of the code. Next in line 16, we’ll do something new.

# Using Canny edge detection

The function for Canny edge detection is, unsurprisingly, called `Canny()`. It takes three arguments: 

1) The first is the image. 

2) The second is the lower threshold.

3) The third is the upper threshold.

The **Canny edge** detector detects edges by looking at the difference in pixel intensities. For the first example below, we’re using low thresholds of 10 and 30. This entails that many thresholds will be detected.

Edge Detection

Introduction

Create a Word Counter in Python

An Introduction to NumPy and Matplotlib

Python pandas

Audio Processing

Image and Video Processing

MultiThreading vs. Multiprocessing in Python

Machine Learning with an Amazon-like Recommendation Engine

Conclusion

Edge Detection

What is edge detection?