
Advanced Scientific Programming in Python [start]
Jan 27, 2012 · In this course we will present a selection of advanced programming techniques, incorporating theoretical lectures and practical exercises tailored to the needs of a …
SciPy 1.0: fundamental algorithms for scientific computing in Python ...
Feb 3, 2020 · SciPy is a library of numerical routines for the Python programming language that provides fundamental building blocks for modeling and solving scientific problems.
Scientific Python Lectures
Tutorials on the scientific Python ecosystem: a quick introduction to central tools and techniques. The different chapters each correspond to a 1 to 2 hours course with increasing level of …
Advanced scientific programming with Python, 3 credits
This course covers the best practices in scientific programming with Python. The decision to use Python is based on the fact that it is commonly used in research across many disciplines. …
ASPP2025/start
In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming …
Scientific Computing with Python - Second Edition - GitHub
Apply object-oriented programming (OOP) to scientific computing in Python; Discover how to use pandas to enter the world of data processing; Handle exceptions for writing reliable and usable …
Advanced Scientific Programming in Python - Uppsala University
Lecture notes and other material for PhD course "Advanced Scientific Programming in Python"
Python for Scientific Computing
This course discusses how Python can be utilized in scientific computing. The course starts by introducing some of the main Python tools for computing: Jupyter for interactive analysis, …
Advanced Scientific Programming in Python [advanced_python]
Jan 16, 2014 · Advanced Scientific Programming in Python. a Summer School by the G-Node and the Physik-Institut, University of Zurich
Advanced Scientific Programming in Python - MATH-661 - EPFL
This seminar teaches the participants to use advanced Python concepts for writing easier to read, more flexible and faster code. It teaches concepts in a hands-on and tangible fashion, …
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