- Code Academy has one of the better tutorials for python
- It is recommended to go up to lesson 8 to grasp the general usage of python syntax, conditions and functions.
- Finish the entire python for more advanced concepts such as Object-Oriented Programming (this comes up in many other languages)
- Jeff Kantor's intro to Jupyter also has a very quick and dirty way of familiarizing yourself with the jupyter interface as well as work with some of the features that Jeff implements into the notebook.
- Dowload Jeff's page by right-clicking the download button and click save as with the file suffix as .ipytnb
- Install Anaconda, then run
jupyter notebookfrom Anaconda's command prompt. - Open the Jeff's page in your own notebook to play with the code.
- Shift-enter runs the code in every block segment of code.
- This Data Analytics
Tutorial shows you step by step how to use the pandas library to analyze data and represent data.
- You can start the tutorial from the header Importing libraries and the data set: in the jupyter notebook.
- Anacondas package installer is useful to download any packages not preinstalled onto your computer.
- Environments are useful to run older versions of packages if there are compatibility issues.
- on Jeff's page, he asks you to use
pip install pintbut if you useconda list, you can see that pint is a package in the conda library and can use conda to install it. - Using Pip is the alternative if the package is not in Conda.
- sphinx can be used to generate an online textbook like this one that's also exportable as a nice PDF document, all from the ipynb files.