https://github.com/tonellotto/pythonlectures
Some Python notebooks for my Cloud Computing class
https://github.com/tonellotto/pythonlectures
Last synced: 6 months ago
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Some Python notebooks for my Cloud Computing class
- Host: GitHub
- URL: https://github.com/tonellotto/pythonlectures
- Owner: tonellotto
- Created: 2020-03-06T09:44:32.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2024-02-14T14:36:01.000Z (over 1 year ago)
- Last Synced: 2024-03-19T03:44:50.935Z (about 1 year ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 6.25 MB
- Stars: 4
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
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README
# Lectures on Python
[](https://mybinder.org/v2/gh/tonellotto/PythonLectures/master)
A set of lectures on computing with Python, using [Jupyter](https://jupyter.org) notebooks. To install Jupyter on your computer, please follow these [instructions](http://jupyter.readthedocs.io/en/latest/install.html).
To open these notebooks in Jupyter, download the files or `git clone` this repository to a directory on your computer, and from that directory run:
```shell
$ jupyter notebook
```
This will open a new page in your browser with a list of the available notebooks.
# Online read-only versions
* [0. Introduction to Python](https://nbviewer.jupyter.org/github/tonellotto/PythonLectures/blob/master/0.%20Introduction%20to%20Python.ipynb)
* [1. Basic Python](https://nbviewer.jupyter.org/github/tonellotto/PythonLectures/blob/master/1.%20Basic%20Python.ipynb)
* [2. NumPy](https://nbviewer.jupyter.org/github/tonellotto/PythonLectures/blob/master/2.%20NumPy%20Tutorial.ipynb)
* [3. MatPlotLib](https://nbviewer.jupyter.org/github/tonellotto/PythonLectures/blob/master/3.%20Matplotlib%20Tutorial.ipynb)
* [4. Pandas](https://nbviewer.jupyter.org/github/tonellotto/PythonLectures/blob/master/4.%20Pandas%20Tutorial.ipynb)
* [5. Scikit-Learn](https://nbviewer.jupyter.org/github/tonellotto/PythonLectures/blob/master/5.%20ScikitLearn%20Tutorial.ipynb)
# Online executable versions
* [0. Introduction to Python](https://mybinder.org/v2/gh/tonellotto/PythonLectures/master?filepath=0.%20Introduction%20to%20Python.ipynb)
* [1. Basic Python](https://mybinder.org/v2/gh/tonellotto/PythonLectures/master?filepath=1.%20Basic%20Python.ipynb)
* [2. NumPy](https://mybinder.org/v2/gh/tonellotto/PythonLectures/master?filepath=2.%20NumPy%20Tutorial.ipynb)
* [3. MatPlotLib](https://mybinder.org/v2/gh/tonellotto/PythonLectures/master?filepath=3.%20Matplotlib%20Tutorial.ipynb)
* [4. Pandas](https://mybinder.org/v2/gh/tonellotto/PythonLectures/master?filepath=4.%20Pandas%20Tutorial.ipynb)
* [5. Scikit-Learn](https://mybinder.org/v2/gh/tonellotto/PythonLectures/master?filepath=5.%20ScikitLearn%20Tutorial.ipynb)
# Exercises
[Here](other_exercises.md) you will find some programming exercises with their solution collected from different sources on the Web.
Solutions have not been exahustively tested. Feel free to report any correction.
# License
This work is licensed under a [Creative Commons Attribution 3.0 Unported License.](http://creativecommons.org/licenses/by/3.0/)
Some of the contents are derived from the excellent Python notebooks by J. R. Johansson, originally available [here](https://github.com/jrjohansson/scientific-python-lectures)