Learn how to use Python for Science and Engineering
When it comes to scientific and engineering computing, there is a clear choice for programmers: Python.
Many scientists prefer it to Matlab, and it is often taught as the first language in Universities.
But there is no single resource for people who want to use Python for engineering. You have to go hunting through blog posts every time you want to draw a graph.
I hope to remedy this by creating a course on how Python is used for engineering and science applications. This course is based on my highly successful Kickstarter.
Practice, not theory
The course will be heavily practical, with little or no theory. The goal is to get you using Python for real world engineering applications. For each topic, we will choose a real case scenario and build a quick solution in Python to solve our problem.
These are the topics we will cover:
Introduction to Python
I will cover the basics of the Python, specifically for the programmers wanting to use Python for engineering.This will be a quick introduction to Python for people who know at least one other programming language.
Image and Video processing
- Detect faces in images and video (see here for a guest blog on this topic).
- Sharpen/blur images
- Count objects in an image
- Track objects in video by color
Analysis and plotting with Numpy, Scipy and Matplotlib
Learn how to work with and graph scientific data
We will cover Machine Learning with Python, using SciKit.
Statistics and data manipulation
The Python pandas library is Python’s answer to R, and used extensively in financial analysis.
Parallel and Distributed Computing
Using the Multiprocessing module
Embedded Raspberry Pi development with Python
We will go over how to control the Raspberry Pi from your PC, and use it as an embedded micro-controller using Python.
The course is available for Pre-order:
Option 1. Get the book, all the code, plus a Virtual Machine to run the examples.
Price: $39, save 10%
Option 2: Get the above, plus videos of all the courses.
Price: $99, save 20%
I want this
Or, sign up to know when the book is released.
1. How do I know the course will ever be released, and my money is safe?
The course is based on my highly successful Kickstarter. So I am legally bound to finish the course.
In addition, I am offering a 100%, no questions asked refund policy. If you don’t love the course, I don’t want your money.
2. When will the course be out?
- The original Kickstarter will be released in the first week of October, as originally planned.
- All the stretch goals will be done somewhere around 1st week of December.
3. What’s this Virtual Machine I will get?
The biggest hassle with projects like these is installing libraries, struggling with version differences, 32/64 bit versions of libraries, etc. You can spend more time installing libraries than running the code. For this reason, I will create a Virtual Machine and do most of the testing there. You can have this VM too. It means you can start coding immediately, without wasting any time installing libraries.