pkubit/python-tutorials

My personal tutorials to dive into Python in an hour or so

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