ESC201:Fall 2021: Monday Lecture: 13:00-14:00 Exercises: 14:00-17:00 in online only

TAs: Stefan Schafroth, Sebastian Schulz (sebastian.schulz@uzh.ch), Noah Kubli (noah.kubli@uzh.ch)

Dear Students,

Video lectures will be available (see below).

Exercises will take place via Microsoft Teams :ESC 201

Joachim Stadel

Videos for the lectures can be found here (they are too large for my Wiki):

ESC201 Video downloads

20. Sep. 2021: First Lecture

Your solutions should be handed in 13 days after each assignment has been given, i.e. Sunday night by 21:00 two weeks after the Monday lecture. Assignments should be individual and should be in python and provide a correct virtual environment!

For help getting started with virtual environments, please read carefully Python Virtual Environments for Pip and Python Virtual Environments for Conda.

You should email 3 things to Sebastian (sebastian.schulz@uzh.ch):

1. The working python source code
2. The requirements.txt file for your virtual environment
3. A .pdf or .png image or animation of the output of your program

Template: template.zip

Instructions:

Please add the names of the people you work together (if you do) to the comment section of your python scripts.

Create a virtual environment using

Pip

- run virtualenv yourenv_name to create a virtual environment

- run source yourenv_name/bin/activate to activate yourenv_name

- install necessary libraries that you want using pip install package_name

- work in that directory, get your outputs (*.pdf, *.png, *jpeg, *.mp4, etc…)

- run pip freeze > requirements.txt to get your list of libraries

Conda

- run conda create -n yourenvname python=x.x anaconda to create a virtual environment

- run source activate yourenvname to activate yourenv_name

- install necessary libraries that you want using conda install -n yourenv_name package_name

- work in that directory, get your outputs (*.pdf, *.png, *jpeg, *.mp4, etc…)

- run conda list –export > requirements.txt to get your list of libraries

1. Implement the bisection root finding method presented in the first lecture for a function f of your choice, (e.g. f(x) = ax³ + bx² + cx + d, or x^x - 100 = 0)!