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pythonworkshops

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Materials for Python workshops

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## Northwestern University Research Computing Services
# Python Workshops

## *Info and links for Summer 2023 Python Workshops are coming soon!*

This repository contains links to the materials used in our most current Python workshops. Some of the materials are self-guided -- you can work through the notebooks at your own pace. Some of the workshops utilize Jupyter Notebooks.

### How to use Jupyter Notebooks
There are two options for opening and running Jupyter Notebooks:
1. **On your own computer.** If you have the Anaconda distribution of Python and Jupyter and/or you are comfortable installing Python packages, you can run the notebooks on your own computer. Choose a workshop from the list below and click on the link. From the repo, click on the green Code button and choose Download ZIP. Unzip the folder. Open Anaconda Navigator and choose Jupyter Lab. In Jupyter, navigate to the folder you just unzipped and select the desired notebook (Jupyter notebooks end in .ipynb).
2. **On the cloud.** You can also run the notebooks online through Google Colab. Choose a workshop from the list below and click on the Colab link.

# Workshops

## Python Fundamentals Remote 3-day Bootcamp for beginning Python coders
[Materials for working on your own computer](https://github.com/aGitHasNoName/pythonBootcamp_3Day)
 
 Material links for working on the cloud through Google Colab:
 [Monday Lecture](https://colab.research.google.com/github/aGitHasNoName/pythonBootcamp_3Day/blob/main/mondayLecture.ipynb)
 [Monday Lecture Answers](https://colab.research.google.com/github/aGitHasNoName/pythonBootcamp_3Day/blob/main/mondayLecture-answers.ipynb)
 [Monday Quiz](https://colab.research.google.com/github/aGitHasNoName/pythonBootcamp_3Day/blob/main/mondayQuiz.ipynb)
 [Monday Quiz Answers](https://colab.research.google.com/github/aGitHasNoName/pythonBootcamp_3Day/blob/main/mondayQuiz-answers.ipynb)
 [Tuesday Lecture](https://colab.research.google.com/github/aGitHasNoName/pythonBootcamp_3Day/blob/main/tuesdayLecture.ipynb)
 [Tuesday Lecture Answers](https://colab.research.google.com/github/aGitHasNoName/pythonBootcamp_3Day/blob/main/tuesdayLecture-answers.ipynb)
 [Tuesday Quiz](https://colab.research.google.com/github/aGitHasNoName/pythonBootcamp_3Day/blob/main/tuesdayQuiz.ipynb)
 [Tuesday Quiz Answers](https://colab.research.google.com/github/aGitHasNoName/pythonBootcamp_3Day/blob/main/tuesdayQuiz-answers.ipynb)
 [Wednesday Lecture](https://colab.research.google.com/github/aGitHasNoName/pythonBootcamp_3Day/blob/main/wednesdayLecture.ipynb)
 [Wednesday Lecture Answers](https://colab.research.google.com/github/aGitHasNoName/pythonBootcamp_3Day/blob/main/wednesdayLecture-answers.ipynb)
 [Wednesday Quiz](https://colab.research.google.com/github/aGitHasNoName/pythonBootcamp_3Day/blob/main/wednesdayQuiz.ipynb)
 [Wednesday Quiz Answers](https://colab.research.google.com/github/aGitHasNoName/pythonBootcamp_3Day/blob/main/wednesdayQuiz-answers.ipynb)

### Pandas Basics
Learn how to work with data shaped in rows and columns
 
 [Materials for working on your own computer](https://github.com/aGitHasNoName/pandasBasics)
 
 Material links for working on the cloud through Google Colab:
 [Day 1 link](https://colab.research.google.com/github/aGitHasNoName/pandasBasics/blob/main/Day1.ipynb)
 [Day 1 answer key](https://colab.research.google.com/github/aGitHasNoName/pandasBasics/blob/main/Day1-answers.ipynb)
 [Day 2 link](https://colab.research.google.com/github/aGitHasNoName/pandasBasics/blob/main/Day2.ipynb)
 [Day 2 answer key](https://colab.research.google.com/github/aGitHasNoName/pandasBasics/blob/main/Day2-answers.ipynb)
 [Day 3 link](https://colab.research.google.com/github/aGitHasNoName/pandasBasics/blob/main/Day3.ipynb)
 [Day 3 answer key](https://colab.research.google.com/github/aGitHasNoName/pandasBasics/blob/main/Day3-answers.ipynb )
 [Day 4 link](https://colab.research.google.com/github/aGitHasNoName/pandasBasics/blob/main/Day4.ipynb)
 [Day 4 answer key](https://colab.research.google.com/github/aGitHasNoName/pandasBasics/blob/main/Day4-answers.ipynb)
 [Day 5 link](https://colab.research.google.com/github/aGitHasNoName/pandasBasics/blob/main/Day5.ipynb)
 
 
### Next Steps in Python
Intermediate Skills that will make your life easier
 
#### fstrings
[Materials for working on your own computer](https://github.com/aGitHasNoName/NSIPfstrings)
 
 Material links for working on the cloud through Google Colab:
 [Colab link](https://colab.research.google.com/github/aGitHasNoName/NSIPfstrings/blob/main/fstrings.ipynb)
 [Colab answer key](https://colab.research.google.com/github/aGitHasNoName/NSIPfstrings/blob/main/fstrings-answers.ipynb)
 
#### list comprehensions
[Materials for working on your own computer](https://github.com/aGitHasNoName/listComprehension)
 
 Material links for working on the cloud through Google Colab:
 [Colab link](https://colab.research.google.com/github/aGitHasNoName/listComprehension/blob/main/list.ipynb)
 [Colab answer key](https://colab.research.google.com/github/aGitHasNoName/listComprehension/blob/main/list-answers.ipynb)
 
#### saving objects with json and pickle
[Materials for working on your own computer](https://github.com/aGitHasNoName/saveObjects)
 
 Material links for working on the cloud through Google Colab:
 [Colab link](https://colab.research.google.com/github/aGitHasNoName/saveObjects/blob/main/saveObjects.ipynb)
 [Colab answer key](https://colab.research.google.com/github/aGitHasNoName/saveObjects/blob/main/saveObjects-Answers.ipynb)
 
#### treasures from the standard library
[Materials for working on your own computer](https://github.com/aGitHasNoName/treasure)
 
 Material links for working on the cloud through Google Colab:
 [Colab link](https://colab.research.google.com/github/aGitHasNoName/treasure/blob/master/treasure.ipynb)
 [Colab answer key](https://colab.research.google.com/github/aGitHasNoName/treasure/blob/master/treasure_answers.ipynb)
 
#### troubleshooting Python code
[Materials for working on your own computer - no Colab option](https://github.com/aGitHasNoName/trouble)
 
#### saving functions
[Materials for working on your own computer](https://github.com/aGitHasNoName/savingFunctions)
 
 Material links for working on the cloud through Google Colab:
 [Colab link](https://colab.research.google.com/github/aGitHasNoName/savingFunctions/blob/main/savingFunctions.ipynb)
 
#### finding patterns in strings
[Materials for working on your own computer](https://github.com/aGitHasNoName/patterns)
 
 Material links for working on the cloud through Google Colab:
 [Colab link](https://colab.research.google.com/github/aGitHasNoName/patterns/blob/master/patterns.ipynb)
 [Colab answer key](https://colab.research.google.com/github/aGitHasNoName/patterns/blob/master/patterns-Answers.ipynb)
 
#### numpy arrays
[Materials for working on your own computer](https://github.com/aGitHasNoName/numpy)
 
 Material links for working on the cloud through Google Colab:
 [Colab link](https://colab.research.google.com/github/aGitHasNoName/numpy/blob/master/numpy.ipynb)
 [Colab answer key](https://colab.research.google.com/github/aGitHasNoName/numpy/blob/master/numpy-answers.ipynb)
 
#### lambda functions
[Materials for working on your own computer](https://github.com/aGitHasNoName/lambda)
 
 Material links for working on the cloud through Google Colab:
 [Colab link](https://colab.research.google.com/github/aGitHasNoName/lambda/blob/master/lambda.ipynb)
 [Colab answer key](https://colab.research.google.com/github/aGitHasNoName/lambda/blob/master/lambda_answers.ipynb)
 
#### args and kwargs
[Materials for working on your own computer](https://github.com/aGitHasNoName/args_kwargs)
 
 Material links for working on the cloud through Google Colab:
 [Colab link](https://colab.research.google.com/github/aGitHasNoName/args_kwargs/blob/master/args_kwargs.ipynb)
 [Colab answer key](https://colab.research.google.com/github/aGitHasNoName/args_kwargs/blob/master/args_kwargs_answers.ipynb)
 
 
### Biopython
Work with biological sequence data in Python
 
 [Materials for working on your own computer](https://github.com/agmcfarland/biopython_workshop)
 
 Material links for working on the cloud through Google Colab:
 [Colab Day One](https://colab.research.google.com/github/agmcfarland/biopython_workshop/blob/main/day_1.ipynb)
 [Colab Day Two](https://colab.research.google.com/github/agmcfarland/biopython_workshop/blob/main/day_2.ipynb) 
 [Colab Day Three](https://colab.research.google.com/github/agmcfarland/biopython_workshop/blob/main/day_3.ipynb) 
 [Colab Day Four](https://colab.research.google.com/github/agmcfarland/biopython_workshop/blob/main/day_4.ipynb)
 [Colab Day Five](https://colab.research.google.com/github/agmcfarland/biopython_workshop/blob/main/day_5.ipynb) 
 
 
### Python for Automation
Make your code reuseable and efficient - scripts, simple parallelization, and the basics of pipelines
 
 [Materials for working on your own computer - no Colab option](https://github.com/aGitHasNoName/PythonForAutomation)
 
 
### Data Viz Basics with Matplotlib
Learn how to make custom plots in Python
 
 [Materials for working on your own computer](https://github.com/non87/python-viz-workshop) 
 
 Material links for working on the cloud through Google Colab:
 [Part 1 Colab](https://colab.research.google.com/github/non87/python-viz-workshop/blob/main/colab/python_viz_1_colab.ipynb) 
 [Part 2 Colab](https://colab.research.google.com/github/non87/python-viz-workshop/blob/main/colab/python_viz_2_colab.ipynb)
 [Part 3 Colab](https://colab.research.google.com/github/non87/python-viz-workshop/blob/main/colab/python_viz_3_colab.ipynb)
 [Part 4 Colab](https://colab.research.google.com/github/non87/python-viz-workshop/blob/main/colab/python_viz_4_colab.ipynb) 
 
### Machine Learning Basics with Scikit-learn
Learn the basics of running predictive models and classifiers
 
 [Materials for working on your own computer](https://github.com/dgzara/nuit_machine_learning_workshop) 
 
 Material links for working on the cloud through Google Colab:
 [Day 1 Colab](https://colab.research.google.com/github/dgzara/nuit_machine_learning_workshop/blob/main/Day_1.ipynb)
 [Day_1 Answer key Colab](https://colab.research.google.com/github/dgzara/nuit_machine_learning_workshop/blob/main/Day_1_Answers.ipynb)
 [Day 2 Colab](https://colab.research.google.com/github/dgzara/nuit_machine_learning_workshop/blob/main/Day_2.ipynb)
 [Day_2 Answer key Colab](https://colab.research.google.com/github/dgzara/nuit_machine_learning_workshop/blob/main/Day_2_Answers.ipynb)
 [Day 3 Colab](https://colab.research.google.com/github/dgzara/nuit_machine_learning_workshop/blob/main/Day_3.ipynb)
 [Day_3 Answer key Colab](https://colab.research.google.com/github/dgzara/nuit_machine_learning_workshop/blob/main/Day_3_Answers.ipynb)
 [Day 4 Colab](https://colab.research.google.com/github/dgzara/nuit_machine_learning_workshop/blob/main/Day_4.ipynb)
 [Day_4 Answer key Colab](https://colab.research.google.com/github/dgzara/nuit_machine_learning_workshop/blob/main/Day_4_Answers.ipynb)
 [Day 5 Colab](https://colab.research.google.com/github/dgzara/nuit_machine_learning_workshop/blob/main/Day_5.ipynb)
 [Day_5 Answer key Colab](https://colab.research.google.com/github/dgzara/nuit_machine_learning_workshop/blob/main/Day_5_Answers.ipynb)
 
## Past Workshops

Previous versions of Python workshops.

[Intro to Python](https://github.com/nuitrcs/intro-python-summer2019)

[Python Visualization](https://github.com/nuitrcs/pythonvisualization)

[Pandas](https://github.com/nuitrcs/pandas-workshop)

[Numpy/Scipy](https://github.com/nuitrcs/numpy-scipy-workshop)

[Statistical and Machine Learning Models](https://github.com/nuitrcs/python-models)

[Intro to Programming with Python](https://github.com/nuitrcs/intro-programming-python)

# Python Resources

See [Resources](resources.md) for a listing of general Python resources,
tutorials, and reference materials.  Additional resources are linked in the
individual workshop repositories.

# Datasets

A few datasets for use across workshops are stored in this repository in the datasets directory.

pythonworkshops

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