IntroScientificPythonWithJupyter

Course Materials for the Introduction to Scientific Python with Juypter course

• Type: Hands-on, example driven

Requirements:

This course assumes that you have basic knowledge of Python. If you want to attend the session, but don't yet know Python please try sections 1-9 of the Codeacademy Python tutorial here: http://www.codecademy.com/tracks/python

Topics Covered:

Part I:

• Jupyter Notebook Overview
• Input/Output in Python
• Basic Math
• Indexing/Array Operations
• Plotting
• Fitting Plots

Part II:

• Some Basic Statistics
• Signal Processing
• Ordinary Differential Equations
• Pandas Crash Course
• Gotchas and Optimization

Required Materials are one of the following:

• Download and run a pre-built virtual machine. This requires ~7 GB of disk space total, but is easier for beginners.
  • VirtualBox
  • Virtual machine
• A Python installation that includes:
  • Anaconda or Miniconda is highly recommended
  • Python Packages: NumPy, SciPy, Matplotlib, pandas, hdf5, pytables, and jupyter notebook