#!/usr/bin/env python
# coding: utf-8

# [![MLR](mlr3.png)](https://ipvs.informatik.uni-stuttgart.de/mlr/marc/teaching/14-ArtificialIntelligence/)
# 
# # AI Class: Programming Introduction
# [AI Class Homepage](https://ipvs.informatik.uni-stuttgart.de/mlr/marc/teaching/15-ArtificialIntelligence/)
# 
# **http://goo.gl/V1bkCE** <-- this document (non-interactive version)
# 
# Outline:
# - [00: Intro](./00_Intro.ipynb)  <-- this document
# - [01: Python](./01_Python.ipynb)
# - [02: Git](./02_git.ipynb)
# 
# For interactive version:
# 1. Download jupyter, (with git bash), if you are using anaconda you may skip this step: `$ pip install jupyter`
# - Clone the github repo [ai_class_python_intro](https://github.com/sotte/ai_class_python_intro.git): `$ git clone https://github.com/sotte/ai_class_python_intro.git`
# - Start the interactive version: `$ ipython notebook`

# ## Orga
# - *TODO:* Setup up Groups?
# - *TODO:* Explain the [exercises](https://sully.informatik.uni-stuttgart.de/gitlab/ai_lecture/group_0)? 
#  - Coding-Exercises
#    - focus on the programming aspect
#    - Teams of 3
#    - turned in using gitlab
#  - Votier-Exercises
#    - focus on more theoretical aspect
#    - in the beginning of each tutorial mark the exercises you have done
#    - students will be randomly selected to present thier result, if they have mark the exercise
#  - Mandatory requirements
#    - 50% of all point for Coding-Exercises
#    - 50% of all Votier-Exercises
# 
# ## Learning Goals for this Lecture
# You should be able to complete the AI exercises (from a programming language point of view).
# 
# 1. "Understand basic Python"
# - Be familiar with Python's Unittests and Doctests
# - Git pull/push your execises and solutions
# 
# There are small programming exercises to give you feedback! Try them!
# 
# 
# ## Survey
# TODO: do a quick survey about python and git experiences
# 
# - X% have no experimence
# - X% have some experimence
# - the rest uses python/git regularly

# # Topics Outline
# ## Python Topics
# - General Intro
#     - INDENTATION!
#     - Duck Typing
#     - Interactive and REPL
#     - help() and ?
#     - type() and dir()
# - Control
#     - if, while, for
# - Datastructures
#     - list, dict, tuple, set,
#     - list comprehensions
# 
# 
# - Functions and Classes
# 
# - Unittests and Doctests
# 
# - PyCharm, IPython notebook, libs: numpy and matplotlib
# 
# 
# ## Git Topics
# - clone, pull, push, add, commit

# # Exercises
# The exercises in this tutorial are voluntary but will improve your python and git foo.
# 
# Do the exercises from the python lecture.
# 
# Follow the [git tutorial](https://try.github.io/levels/1/challenges/1).
# 
# 
# # References
# **Python:**
# - https://scipy-lectures.github.io/index.html
# - http://learnxinyminutes.com/docs/python/
# - https://docs.python.org/2/tutorial/
# - http://learnpythonthehardway.org/
# 
# **Git:**
# - https://try.github.io/levels/1/challenges/1
# - http://rogerdudler.github.io/git-guide/index.de.html
# - http://git-scm.com/book
# - [Windows git GUI](http://www.sourcetreeapp.com/)