Git Product home page Git Product logo

python-for-stem's Introduction

Python-for-STEM-Teachers-Workshop

This is the Programming for STEM Teachers Workshop repository. This is intended for people (mainly teachers) who are not familiar with programming at any level. The hope is that through this workshop we are able to enable STEM teachers with basic knowledge on Google Colab and Python such that they can further develop and complement their class with programming in any way.

List of Notebooks

Session #1

  1. Intro to Markdown
  2. Barometer
  3. Maps

Session #2

  1. Quick Start to CMS Open Data
  2. Calculate Invariant Mass
  3. Higgs to 4 leptons

Other notebooks

Other notebooks are created for additional topics like Pandas and Machine Learing

Pre-requisites for this Workshop

Nothing :D

All you need is a gmail account (and sometimes maybe not even that!)

Getting Started

If you want to gather more information about what a notebook is then you might be interested in reading about what Jupyter is.

To begin with this workshop it is recommended that you look at the First notebook to learn about the implementations of Markdown, LaTeX and Python inside Google Colab's version of a Jupyter Notebook.

When opening the notebook just click the Open In Colab found on top of the file and you will instantly open the document online.

Recommendation MAKE A COPY BEFORE YOU START EDITING IT

Go to File --> Save a copy in Drive

Binder

With Binder you don't have to worry about having a google account. Just click on the badge below and a JupyterLab session will open on your browser.

Binder

If you want to run locally

Installing Jupyter Notebook

Two methods

  1. You can install the Anaconda distribution for python which is filled with all the packages you will need. Recommended method

  2. Or you can manually install Jupyter Notebooks in your computer along with some basic packages as mentioned below. Follow these instructions to install Jupyter

You must have python installed in your computer for Jupyter to work

Copying the files locally

If you have a command line with bash you can have a local copy of all the files that will be used in the workshop

Just do the following

you can copy by either ctrl-Shift-C or simply by selecting the lines. You can paste in the command line by ctrl-Shift-V , Shift-Ins or right-click

cd
git clone https://github.com/GuillermoFidalgo/Python-for-STEM-Teachers-Workshop.git
cd Python-for-STEM-Teachers-Workshop/

From here you can run all the notebooks used in this workshop.

python-for-stem's People

Contributors

guillermofidalgo avatar 936-bcruz avatar diyaselis avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.