Master Python programming by solving scientific projects

Learn scientific coding in Python from a warm-blooded scientist. Each video includes hands-on solved practice problems!

4.79 (1236 reviews)

Udemy

platform

English

language

Programming Languages

What you will learn

Python

Scientific programming

Data visualization

Time series analysis

Modeling

Regular expressions

Spectral analysis

Filtering

Data clustering

Gradient descent

Text processing

Data projects

Data animation

Why take this course?

Unleash Your Python Skills With Real World Scientific Projects

Welcome to "Master Python Programming by Solving Scientific Projects". If you're searching for a course that takes a fresh, hands-on approach to learning Python while solving real-world scientific problems, you've found the right one. This course isn't just about learning a list of Python functions. It's about getting knee-deep into Python's capabilities, understanding its quirks, and leveraging it to tackle fascinating projects.

Why Choose This Course?

Python is a dynamic language, widely used in the scientific community. But you're probably thinking, "Why should I choose this Python course out of hundreds available on Udemy?" Let's cut to the chase and focus on what makes this course unique:

Problem Solving Approach: This course doesn't just teach Python; it reinforces the learning with an array of scientific projects that you might encounter in your academic, professional, or personal life. This strong focus on project-based learning equips you with hands-on coding experience. You'll learn how to think like a programmer and apply your skills in practical situations.
Transparency: I’m not a Python fanatic who views it as the perfect language. I acknowledge that, like every language, Python has its idiosyncrasies. During this course, I will not shy away from Python's annoying or confusing aspects. Instead, I’ll give you a realistic and comprehensive understanding of the language, including its strengths and weaknesses.
Broad Spectrum of Projects: From text processing to time series filtering, from simulating a brain circuit to plotting state-space trajectories, from biomedical signal processing to cryptocurrency investing, this course brings a wide range of projects to the table. Each project is meticulously crafted to ensure you gain the maximum knowledge and practical skills from it.
Interactive Community: In the course Q&A, you'll have the chance to interact with me and your fellow students. Here, I discuss Python coding strategies, data types, scientific coding best practices, and more. Sharing your own clever code solutions and learning from others' experiences will further enhance your learning journey.
Coding with ChatGPT: Gain insights on how to use ChatGPT, a sophisticated AI language model developed by OpenAI, to assist you with boilerplate code and debug your scripts. This interactive feature makes coding more intuitive and efficient, especially when you're stuck with bugs or need a quick solution.

What should you do now?

Take a look at the preview videos to get a glimpse of my teaching style and the course content.
Check out the reviews of this course. The positive feedback and experiences shared by students will give you a good sense of what to expect.
Also, do check out the reviews of my other courses to understand my dedication and passion for teaching.
Embark on this exciting journey and join today! Together, we will dive deep into the world of Python, solving intriguing scientific problems along the way. This course is more than just a learning experience—it's an adventure through the realms of Python and scientific coding.

Screenshots

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Reviews

Jonas

November 5, 2023

You seriously need to go through the solutions for ALL the exercises! Like the 100 days of code course on UDEMY! Otherwise you are great Mike, thanks!

Khushwant

September 30, 2023

Having not written code in years and starting as a beginner made this excercise interesting and excited. Thank you!

Programmer

September 26, 2023

Very good explanation and instructor is using interesting examples every time to demonstrate the topics. Exercises after each lesson also really helpful. If someone is studying ML or data science and want to pick up python skills quickly, then this course is a perfect match.

Ramin

September 25, 2023

My results for the exercise came out slightly different. I created many Sierpinski triangle plots not just one. It also took an awfully long time.

LakshmiPrabhakar

August 26, 2023

import numpy as np import matplotlib.pyplot as plt N = 10000 sx = np.zeros(N) sy = np.zeros(N) for i in range(1, N): k = np.random.randint(1,4) sx[i] = sx[i-1]/2 + k - 1 sy[i] = sy[i-1]/2 if k ==2: sy[i] +=2 plt.plot(sx,sy,'k', markersize=1) plt.show() #it didnot work as you shown in this session 2nd lesson.

August 23, 2023

Mike, Mike, Mike (imagine the camel from the commercial, lol), you are my favorite person (besides my fiance and my rats lol). On a serious note, I have never enjoyed learning coding before or math! Your teaching style makes this fun and I hop out of bed to study! I bought your PyTorch class as well, the review will be the same! Bravo!

Amanda

June 14, 2023

Excellent job explaining what to expect and what we should be doing (when to follow code vs just listening). Only issue is with the advanced code in the intro (meant to give inspiration and show what you can achieve), the plot ended up being generated 10000 times, meaning it was being read as a continuation in the loop we created. He did not mention this potential issue or the fix within the video. My previous coding experience in R helped me understand where/what the issue was, but could be difficult to notice for some with other or no coding experience. Edit: I saw that he previously addressed the issue within the Q&A.

Ricardo

June 3, 2023

excellent material and instructor, all topics clearly explained, not wasting time on vanal explanations

Justas

April 11, 2023

I really enjoy the step-by step coding from scratch and repeating the gained knowledge throughout the projects for it to sink in. However, coming from a different scientific background I was expecting more sciency related projects rather than pure math (but its just my personal preference). Otherwise, highly recommend!

Anton

March 4, 2023

I liked the course instructions. Please keep it up. I am a PhD scholar myself and love the way course is taken. Would love to help if needed!

Brittney

February 8, 2023

I'm not very far into the course yet, but the way it's structured is really helpful. It's good to be able to follow along and have built in exercises for each section that help to solidify the knowledge I'm getting as we go along.

BILL

December 29, 2022

As a recent mechanical engineering graduate, I was looking for a good course to learn python for CFD scripting and post processing. I chose this course based on the high ratings, the emphasis on scientific computing, and the instructors credentials. Thus far, I have completed all the lessons and currently working through the projects. This course has turned out to be an excellent experience for me and I would highly recommended it to anyone who wants to learn Python programming (for any application, not limited to just scientific). The course is well paced with all the important concepts you need and no BS. Mike is an excellent communicator and very talented individual. The price of the course is extremely reasonable considering the content and the quality of the material. As a minor nitpick, I wish the course covered OOP in more depth however this was not enough to prevent me from rating it 5 stars... Mike, if you read this, I would kill for you to make a C++ course. Are there any plans for this in the future? Can you recommend me any recourses? Thanks for the excellent content!

Bikram

December 28, 2022

What a fantastic course. I have enjoyed the course so far. Super excited to see the second part of this course. Thank you for creating such as wholesome course!

Richard

November 26, 2022

Mike is an experienced and superlative teacher in every respect. He breaks information down into digestible pieces and explains every concept clearly in an easy to understand voice. All of his courses are great.

Harry

November 6, 2022

Am just at the beginning, but looks very interesting, very well organized meanig there is a huge amount of work involved preparing it. The list of subjects looks great.

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