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

# <span style="font-size: 200%">Programming in Python</span>
# ===
# 
# <br>

# About the course
# ===
# 
# * Aimed at PhD students, Postdocs, researchers, analysts, ...
# * Focus on:
#  - Basic understanding of Python.
#  - Programming as a tool to do your research.
#     - Slightly biased on bioinformatics.
# 
# 
# **Note:** This is its third session.

# Hands on!
# ===
# 
# **Programming is fun!**
# * You only learn programming by doing it.
# * Lecture format:
#     - Blended teaching + exercising.
# * Have your laptop open during the lessons.
# * Repeat the code from the slides, play around with it.
# * Do the session exercises.
# * There will be a few assignments to submit.

# Teachers
# ===
# 
# * Jeroen Laros<br>
#   [j.f.j.laros@lumc.nl](mailto:j.f.j.laros@lumc.nl)
# 
# 
# * Mihai Lefter<br>
#   [m.lefter@lumc.nl](mailto:m.lefter@lumc.nl)
# 
# 
# * Jonathan Vis<br>
#   [j.k.vis@lumc.nl](mailto:j.k.vis@lumc.nl)
# 
# 
# * Mark Santcroos<br>
#   [m.a.santcroos@lumc.nl](mailto:m.a.santcroos@lumc.nl)
# 
# 
# * Guy Allard<br>
#   [w.g.Allard@lumc.nl](mailto:w.g.allard@lumc.nl)

# Program
# ===
# 
# | Day               | Time  | Lesson                              | Teacher  | 
# |-------------------|-------|------------------------------------ |----------|
# | **Monday, 18/9**  | 9 - 9:30  | Welcome, Setup                  | Mihai    | 
# |                   | 9:30 - 10:30 |  Introduction to Python (1)  | Mihai    |
# |                   | 10:30 - 11:30 | Introduction to Python (2)  | Jeroen   |  
# |                   | 11:30 - 12:30 | Introduction to Python (3)  | Mihai    | 
# |                   | 12:30 - 13:00 | Practical help              |          | 
# | **Tuesday, 19/9** | 9-10  | Assignments review                  |          |
# |                   | 10-11 | More Python Goodness (1)            | Mihai    | 
# |                   | 11-12 | More Python Goodness (2)            | Mihai    | 
# |                   | 12-13 | IPython Notebook                    | Mark     | 

# | Day                 | Time  | Lesson                              | Teacher  | 
# |---------------------|-------|------------------------------------ |----------|
# | **Wednesday, 20/9** | 9-10  | Assignments review                  |          | 
# |                     | 10-11 | Data manipulation (NumPy, Pandas)   | Mark     | 
# |                     | 11-12 | Data visualisation (1)              | Guy      | 
# |                     | 12-13 | Data visualisation (2)              | Guy      | 
# | **Thursday, 21/9**  | 9-10  | Assignments review                  |          | 
# |                     | 10-11 | Object-oriented programming         | Jonathan | 
# |                     | 11-12 | Biopython                           | Guy      | 
# |                     | 12-13 | Putting everything together         | Jeroen   |
# 
# All slides are linked as one-page documents from the course website: [https://git.lumc.nl/courses/programming-course](https://git.lumc.nl/courses/programming-course)

# Software requirements
# ===
# 
# * Anaconda:
#   * Python 2.7
#   * Comes with all that's required:
#     - Python interpreter, Jupyter Notebook.
#     - Libraries:
#       - NumPy, Panda, matplotlib, Bokeh, Biopython, ...
#   * [Installation instructions](https://docs.anaconda.com/anaconda/install/). 
# * Git
# 
# 

# Assignments
# ===
# 
# * We make use of GitHub Classroom.
# * GitHub account required.
# * Receive link with assignment repository.
# * Own forked repository to work on.
#   - Clone it.
#   - Code.
#   - Push it.
# * Direct file upload to repository is also possible.

# Getting help
# ===
# 
# * Ask a teacher.
# * If it's private, mail one of the teachers.
# 

# In[1]:


from IPython.display import HTML
def css_styling():
    styles = open('../styles/custom.css', 'r').read()
    return HTML('<style>' + styles + '</style>')
css_styling()


# License: [Creative Commons Attribution 3.0 License (CC-by)](http://creativecommons.org/licenses/by/3.0)
#