Showcases to dive into Python in an hour

You'll need Jupyter Notebook (f.k.a. IPython Notebook until version 3.0) to see all features.

In these demos I focused on Python 3.5, though there should be no problems to run them on Python 2.7 and 3.4+.

Download Python Tutorials

There are two options how you can get the tutorials:

Git Clone (preferred)

$ git clone https://github.com/frol/python-tutorials.git
$ cd python-tutorials

or download this repository as an archive

$ mkdir python-tutorials
$ cd python-tutorials
$ wget https://github.com/frol/python-tutorials/archive/master.zip
$ unzip master.zip

Prepare environment

Again, there are two options of how to prepare your environment:

Classic Python using VirtualEnv (Debian-based Linux instructions)

1. Since most of the Linux distributions already have Python installed, you only need to install VirtualEnv:

   $ sudo apt-get install python-virtualenv

2. Create Python Virtual Environment:

   $ virtualenv ./env/

3. Activate the environment and install dependencies:

   $ . ./env/bin/activate
   $ pip install -r requirements.txt

Anaconda Python distribution (crossplatform)

1. Install Miniconda ( Anaconda will also work, but it includes too many unnecessary packages, which you can install into Miniconda if necessary)

2. Create Conda Environment with Jupyter Notebook:

   $ conda create -n python-tutorials python notebook

3. Activate the environment:

   $ activate python-tutorials

   NOTE: You should prepend the above command with source (i.e. source activate ...) when using sh/Bash (Linux, OS X, and in some cases on Windows).

Start

$ jupyter notebook --notebook-dir=./notebooks/

Contents

1. notebooks/Intro.ipynb
2. notebooks/Structures.ipynb
3. notebooks/Numpy_and_Pandas.ipynb