Python for Engineers and Scientists
Who is this course for
Professionals: Experienced engineers or scientists who want to enhance their productivity with Python tools.
Engineers & Scientists: Looking to apply Python to improve their computational efficiency.
Students: Studying engineering or physical sciences and wanting to incorporate Python into their academic projects.
Course Overview
This course offers a comprehensive introduction to Python specifically tailored for engineers and scientists. Presented by Michele Vallisneri, a theoretical astrophysicist and Python advocate, it will empower you to leverage Python for your scientific and engineering tasks.
Michele starts by helping you set up Python on macOS, Windows, or Linux, along with configuring Jupyter notebooks for optimal use. He then dives into ways to optimize Python for scientific computing, showing you how to use NumPy, SciPy, Numba, and Cython to make your code fast and efficient.
The course also covers how to ensure your code's accuracy with tools for symbolic computation, solving differential equations, and interpolation. Finally, Michele introduces tools like JSON, pandas, HDF5, and Snakemake to automate your tasks and workflows, improving the overall efficiency of your scientific or engineering projects.
By the end of this course, you will be well-equipped with Python's scientific tools, boosting your ability to carry out complex computations and automate tasks with ease.
What You'll Learn
- Expert guidance from Michele Vallisneri, a theoretical astrophysicist and Python enthusiast.
- Skills to improve your computational efficiency using Python libraries such as NumPy, SciPy, and pandas.
- Hands-on experience with setting up Jupyter notebooks and utilizing Python tools for scientific workflows.
- Practical applications of Python for symbolic computation, solving differential equations, and automating tasks.
- Techniques to make your Python code faster, more accurate, and easier to maintain.
