Python for Scientists & Engineers

Summary

Scientists need programming skills in Python to analyze their data but have rarely had any programming education during their Bachelor’s and Master’s degrees. Therefore, the Python for Scientists & Engineers course has two distinct goals and teaches

to analyze, interpret and visualize scientific data to create publication ready plots
good programming practice, version control with GIT and virtual environments

News: As of 2023, the former specialisation courses “Good Programming Practice in Python” and “Advanced Plotting in Python” are now integrated into the Python for Scientists and Engineers course and the usage of AI tools is covered as well.

Target groups

The course is suited for people with previous experience in other programming languages and for people who already have experience with Python looking to improve their skills. A lot of previous participants have been self-taught and appreciated the structured introduction to Python and the variety of topics covered in this course.

The course is also suitable for absolute beginners in programming, however, beginners should plan to invest additional time between tutorials to learn fundamentals from the additional resources.

Course structure

The course is held in English. It can be taken on-demand or as a blended learning course. The on-demand modules each contain

a 60-90 minute video lecture that participants can watch when it suits them
exercises for the participants to apply what they have learned

The blended learning modules each additionally contain a live Zoom tutorial to answer questions (90-120min).

Participants should plan to invest 6 hours per module or 42 hours in total.

Content

Installation

Introduction, Jupyter, Virtual Environments, Notebook extensions, Python fundamentals

Basics

Syntax, PEP8, Keyboard shortcuts, Introduction to Numpy and Matplotlib
Advanced Numpy, Pandas, File Input & Output, ChatGPT
Advanced Matplotlib, Inset Plots, Contour Plots, Interactive Plots

Advanced topics

GIT, String Formatting, Video Creation, Notebook Structure
Interpolation, Fitting, Complex Fitting, Filtering, Data analysis example
Creating Files, Generators, Parallelization, Sympy, Integration of Plots to Overleaf

What participants say

"Maurice's course is a great introduction targeted towards the most important aspects of Python for scientists such as data analysis and visualization. His lectures and exercises are highly motivating and get you started writing relevant programs straight away. His classes are fun and informative, you can ask any question and always get a useful answer. I highly recommend it!."

Prof. Dr. Bella Lake

"Maurice showed us a lot of powerful tools in Python that can be applied in scientific research. Actually, I already started to use what I learned from this course to deal with my experimental data. Thank you Maurice!"

Dr. Zi Yang

"As an absolute beginner in Python I was brought to a level where I feel confident to analyze my data using Python."

Stree Vithya Arumugam

"I liked the broad overview of different topics related to scientific working with Python"

Ph.D Student

"I took my first steps into coding with python. The examples and especially the readdressing of common used code to load data, plot it and analyze it made it a hands on course. The course is nicely structured and the live tutorials help a lot. I can only recommend it."

Dr. Stephanie Lemke

Course overview

Module / Course	Python for Scientists	Python for Biologists	Python Basics
Introduction, Virtual Environments, Jupyter, Notebook extensions, Python Fundamentals	+	+	+
Syntax, PEP8, Keyboard Shortcuts, First examples in Numpy and Matplotlib	+	+	+
Advanced Numpy, File IO, Pandas, ChatGPT	+	+	+
Advanced Matplotlib, Plotting options, Inset Plots, Contour Plots, Interactive Plots	+	+	+
GIT, String Formatting, Video Creation, Notebook structure	+	+
Interpolation, Fitting, Complex Fitting, Filtering, Data analysis example	+	*
Creating Files, Generators, Parallelization, Sympy, Integration of Plots to Overleaf	+	*
Biopython, DNA sequencing, BLAST, Visualization of DNA		*
Image analysis and processing, Scikit Image		*

+ meaning the topics are both covered in the lecture and the tutorials
* meaning participants have access to the lecture materials but we will pick 1 or 2 topics to discuss in the tutorials

On-demand courses

Course licence	Description	Price
Python Basics course (4 modules)	This gives you access to the Python Basics (4 modules) lecture videos and materials	$149.00	Add to cart
Python course for Scientists & Engineers	This gives you access to the Python for Scientists & Engineers lecture videos and materials	$199.00	Add to cart
Python for Biologists	This gives you access to the Python for Biologists lecture videos and materials	$249.00	Add to cart

Upcoming Live Courses

Currently, there are no upcoming courses that are open to public booking.

Contact

Are you interested or have any questions about the Python for Scientists & Engineers course? Reach out any time!

contact@Training-Scientists.de

+49 156 78448154