Solutions to exercises in 'A Primer on Scientific Programming with Python' by Hans Petter Langtangen

Worked examples for exercises in Think Stats using the Scientific Python stack.

Solutions to the exercises posed by the book "A Primer on Scientific Programming with Python" (2009) by Hans Petter Langtangen.

Some general machine learning exercises one can run to get used to python's scientific computing libraries

250+ exercises from A Primer on Scientific Programming in Python, 2nd edition, by H. P. Langtangen

Project work for scientific python

Coursework for "Advanced Programming" class

Solutions to selected exercises from "A Primer on Scientific Programming with Python" by Hans Langtangen (4th ed).

Scientific Computing with Python - Exercises

Exercises from "Scientific computation Python Hacking for Math Junkies"

Exercises and Projects of FreeCodeCamp.org Scientific Computing Python Course

Exercises from freeCodeCamp to get the Scientific Computing with Python Certification.

Projects and Concepts exercises from FreeCodeCamp’s Scientific Computing with Python course.

Hand-in solutions to the exercises in the "Advanced Scientific Python Programming" course.

A collection of exercises, projects, and notes from freeCodeCamp’s Scientific Computing with Python course. Covers Python fundamentals, data structures, algorithms, and basic scientific computing.

Projects and exercises completed as part of the Scientific Computing with Python at freecodecamp.org

This repository contains my studies and exercises from the FreeCodeCamp "Scientific Computing with Python" course.

My solutions to the guided projects and exercises from the freeCodeCamp 'Scientific Computing with Python' curriculum.

Solutions and projects from the freeCodeCamp Scientific Computing with Python course. Includes practice exercises, algorithms, and final certification projects implemented in Python.

Assignments, exercises, and code notes from the Computational Physics: Scientific Programming with Python Udemy course by Dr. Börge Göbel. Includes numerical methods, differential equations, eigenvalue problems, Monte Carlo simulations, and more.

This directory tree contains all examples programs and data files (along with some of the programming exercises) related to the book "A Primer on Scientific Programming with Python", 2nd edition, 2012, by H. P. Langtangen.

This repository is a comprehensive collection of my learning journey through NumPy, the fundamental package for scientific computing in Python. It includes hands-on exercises, explanations, and examples that cover everything from core concepts to more advanced operations.

A modern web application that generates personalized breathing patterns based on user-selected goals. The app provides real-time visual guidance for executing breathing exercises, with a Python backend delivering scientifically-informed breathing protocols tailored to specific physiological and mental states.

Code of topics covered in "Mathematical Modeling and Computation in Finance: With Exercises and Python and MATLAB Computer Codes", by C.W. Oosterlee and L.A. Grzelak, World Scientific Publishing, 2019 NOTE: This is not complete, I am still reading this book!

AI 101, Scientific Python Programming. Exercises, notes and submissions.

Examples and exercises from the course Scientific Computing using Python at AAU in May 2014.

Repository featuring a collection of notebooks from my journey through the "Scientific Python" Udemy course by Mike X Cohen, complemented by additional coding exercises from Kaggle.

Practicing scientific programming in Python using libraries such as Sympy, Numpy, and Matplotlib

scientific python exercises

:open_file_folder: freeCodeCamp >>> exercises passed in the Scientific Computing in Python classes.