Difference between revisions of "Python resources"
From atmoschem
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=Getting started= | =Getting started= | ||
==Jupyter notebook== | ==Jupyter notebook== | ||
| − | Jupyter notebooks are interactive web-based applications that allow users to create and share combine live codes, equations, narrative texts, graphics, interactive user interface and other rich media. When combined with the Python kernel, Jupyter notebooks allow users to code and display results in an interactive and convenient way. Jupyter notebooks are really | + | Jupyter notebooks are interactive web-based applications that allow users to create and share combine live codes, equations, narrative texts, graphics, interactive user interface and other rich media. When combined with the Python kernel, Jupyter notebooks allow users to code and display results in an interactive and convenient way. Jupyter notebooks are really wonderful tools for learning Python, data science, and coding in general. |
| − | *We strongly recommend installing Python and Jupyter using the Anaconda Distribution [https://www.anaconda.com/distribution/ usingthe Anaconda distribution], which includes Python, the Jupyter Notebook, and other commonly used packages for scientific computing and data science. | + | *We strongly recommend installing Python and Jupyter on your PC using the Anaconda Distribution [https://www.anaconda.com/distribution/ usingthe Anaconda distribution], which includes Python, the Jupyter Notebook, and other commonly used packages for scientific computing and data science. |
*[https://www.dataquest.io/blog/jupyter-notebook-tutorial/ Jupyter notebook: an introduction] | *[https://www.dataquest.io/blog/jupyter-notebook-tutorial/ Jupyter notebook: an introduction] | ||
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*[http://www.meteo.mcgill.ca/~cmccray/python.html Dr McCray (McGill University) put together a few Python tutorials for atmospheric science.] | *[http://www.meteo.mcgill.ca/~cmccray/python.html Dr McCray (McGill University) put together a few Python tutorials for atmospheric science.] | ||
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| + | =Data science= | ||
| + | *[https://openedx.seas.gwu.edu/courses/course-v1:GW+EngComp1+2018/about Get Data Off the Ground with Python] An online MOOC course by Professor Lorena Barba at George Washington University | ||
Revision as of 14:20, 2 July 2019
Contents
Getting started
Jupyter notebook
Jupyter notebooks are interactive web-based applications that allow users to create and share combine live codes, equations, narrative texts, graphics, interactive user interface and other rich media. When combined with the Python kernel, Jupyter notebooks allow users to code and display results in an interactive and convenient way. Jupyter notebooks are really wonderful tools for learning Python, data science, and coding in general.
- We strongly recommend installing Python and Jupyter on your PC using the Anaconda Distribution usingthe Anaconda distribution, which includes Python, the Jupyter Notebook, and other commonly used packages for scientific computing and data science.
- Jupyter notebook: an introduction
Python tutorials for beginners
- On short online Python tutorial
- A Hands-on Introduction to Using Python in the Atmospheric and Oceanic Sciences This is a Python textbook geared specifically for use in atmospheric and oceanic sciences. The writing is extremely clear and useful. Highly recommended. The PDFs can be downloaded for free.
- Unidata's online Python tutorial for atmospheric science.
- Dr McCray (McGill University) put together a few Python tutorials for atmospheric science.
Data science
- Get Data Off the Ground with Python An online MOOC course by Professor Lorena Barba at George Washington University
