cjekel / Introduction-to-Python-Numerical-Analysis-for-Engineers-and-ScientistLinks
Introduction to Python: Numerical Analysis for Engineers and Scientist. In 2017, Python became the world's most popular programming language. This course covers the basic syntax, linear algebra, plotting, and more to prepare students for solving numerical problems with Python.
☆141Updated 7 years ago
Alternatives and similar repositories for Introduction-to-Python-Numerical-Analysis-for-Engineers-and-Scientist
Users that are interested in Introduction-to-Python-Numerical-Analysis-for-Engineers-and-Scientist are comparing it to the libraries listed below
Sorting:
- Resources for the book "Programming for Computations" by S. Linge and H. P. Langtangen☆127Updated 3 years ago
- Numerical methods implementation in Python.☆109Updated 5 months ago
- Some open material relating to the Southampton Numerical Methods course☆106Updated 7 years ago
- Notebooks and documents to build Computational Mechanics course☆62Updated last month
- Jupyter notebook class notes for Numerical Methods for PDEs☆148Updated 3 months ago
- Introduction to Scientific Computing with Python☆56Updated 2 years ago
- Repository to store all the Python Textbook Companions.☆127Updated 8 years ago
- Software and additional material for the book "A Primer on Scientific Programming with Python"☆204Updated 6 years ago
- Resources for "The Craft of Finite Difference Computing with Partial Differential Equations" by H. P. Langtangen☆180Updated 6 years ago
- IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Sy…☆160Updated 4 years ago
- Source code for 'Numerical Python Second Edition' by Robert Johansson☆139Updated 7 years ago
- Jupyter notebooks and other materials developed for the Columbia course APMA 4300☆293Updated 3 years ago
- ☆73Updated 4 months ago
- Material for a course on finite difference methods for differential equations.☆53Updated 11 years ago
- Lecture material on numerical methods for partial differential equations.☆279Updated 5 years ago
- An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.☆287Updated 2 months ago
- ☆84Updated last year
- Code supporting MCHE485: Mechanical Vibrations at the Univsersity of Louisiana at Lafayette☆48Updated 5 years ago
- ☆178Updated last year
- Easy access in Python to a large collection of ODE solvers☆125Updated 5 years ago
- Examples of exercises that accompany Effective Computation in Physics☆211Updated 6 years ago
- A set of learning modules in computing for engineering undergraduate students.☆107Updated 2 months ago
- A 2D finite difference fluid flow solver written in python with numpy vectorization for fast performance. Currently it supports single ph…☆54Updated 4 years ago
- Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python☆14Updated 6 years ago
- Python notebooks for Numerical Analysis☆156Updated 7 months ago
- A curated list of awesome articles, software libraries and resources on Scientific Computing☆62Updated 2 years ago
- Learning Mechanical Vibration Engineering Through Computation☆51Updated 5 years ago
- Notes and examples on how to solve partial differential equations with numerical methods, using Python.☆39Updated 2 years ago
- Assignments of Finite Differences Method Lesson in NWPU☆17Updated 5 years ago
- Introduction to Data Science for Mechanical Engineers☆26Updated last month