https://github.com/hugostrand/dat171

Lecture notes for: Object-oriented programming in Python (DAT171) @ Chalmers University of Technology
https://github.com/hugostrand/dat171

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Lecture notes for: Object-oriented programming in Python (DAT171) @ Chalmers University of Technology

• Host: GitHub
• URL: https://github.com/hugostrand/dat171
• Owner: HugoStrand
• Created: 2020-01-13T10:25:39.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2025-01-31T08:24:47.000Z (4 months ago)
• Last Synced: 2025-02-13T08:31:57.606Z (4 months ago)
• Language: Jupyter Notebook
• Homepage: https://chalmers.instructure.com/courses/8757/assignments/syllabus
• Size: 1.14 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: Readme.md

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# Lectures

## Lecture 1: Course information

  - Course litterature

  - Lectures and exam

  - Computer assignments

  - Python, PyCharm and Jupyter

## [Lecture 2: Core features](https://nbviewer.jupyter.org/github/HugoStrand/DAT171/blob/master/lectures/Lecture02/Lecture02.ipynb) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/HugoStrand/DAT171/master?filepath=lectures%2FLecture02%2FLecture02.ipynb)

   - Types

   - Strings, lists, dictionaries, sets, tuples

   - Operators

   - Conditionals, loops, list/set/dictionary comprehensions

   - Functions and (optional) arguments

   - Scope

   - Lambda functions

   - References and copies

   - Importing and namespaces

   - Help and documentation

   - Errors

## [Lecture 3: Core features and NumPy Intro](https://nbviewer.jupyter.org/github/HugoStrand/DAT171/blob/master/lectures/Lecture03/Lecture03.ipynb) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/HugoStrand/DAT171/master?filepath=lectures%2FLecture03%2FLecture03.ipynb)

   - Printing

   - Strings

   - File IO

   - NumPy multidimensional arrays

   - **Computer Assignment 1**

## [Lecture 4: NumPy and Matplotlib](https://nbviewer.jupyter.org/github/HugoStrand/DAT171/blob/master/lectures/Lecture04/Lecture04.ipynb) [![Binder](https://mybinder.org/badge_logo.svg)]( https://mybinder.org/v2/gh/HugoStrand/DAT171/master?filepath=lectures%2FLecture04%2FLecture04.ipynb )

   - Arrays, indexing, slicing

   - Reductions, sum, product, integration

   - Linear algebra, tensor contractions

   - Plotting, figure components

   - Subplots, limits, legends, titles

   - Styling, colors, markers, linestyles

   - Plots, error bars, histograms, contour plots, 3D plotting

## [Lecture 5: Scientific Python (SciPy)](https://nbviewer.jupyter.org/github/HugoStrand/DAT171/blob/master/lectures/Lecture05/Lecture05.ipynb) [![Binder](https://mybinder.org/badge_logo.svg)]( https://mybinder.org/v2/gh/HugoStrand/DAT171/master?filepath=lectures%2FLecture05%2FLecture05.ipynb )

  - Integration, adaptive quadrature

  - Ordinary Differential Equations (ODEs)

  - Interpolation

  - Linear algebra

  - Optimization, root finding

  - Sparse matrices

  - Graph algorithms, triangulation

  - Statistics

  - Signal and image processing

  - File IO

## [Lecture 6: Writing a library, documentation](https://nbviewer.jupyter.org/github/HugoStrand/DAT171/blob/master/lectures/Lecture06/Lecture06.ipynb) [![Binder](https://mybinder.org/badge_logo.svg)]( https://mybinder.org/v2/gh/HugoStrand/DAT171/master?filepath=lectures%2FLecture06%2FLecture06.ipynb)

  - Commenting and documenting code

  - Python DocStrings

  - Modules and packages

  - Namespace and scope

  - Command line arguments

  - The Zen of Python