Sharpen your high-performance numerical computing and data science skills with Jupyter Notebook. Learn to use IPython and Jupyter Notebook for data analysis and visualization.

• Create interactive plots to effectively present data
• Write fast Python programs with NumPy, ctypes, Numba, and other libraries
• Analyze data with frequentist or Bayesian statistics
• Simulate deterministic and stochastic dynamical systems in Python
• Get familiar with the mathematics behind Python using SymPy and Sage
• Profile and optimize your code and conduct reproducible interactive computing experiments

For an optimal learning experience, we recommend the following hardware configuration:

• Processor: i5 Quad Core or better
• Memory: 4GB RAM
• Storage: 10 GB available space

You must also install in advance the following software:

• Python 3.5+
  • Anaconda 4.3+
• Python libraries included with Anaconda installation
  • matplotlib 2.1.0+
  • ipython 6.1.0+
  • requests 2.18.4+
  • beautifulsoup4 4.6.0+
  • numpy 1.13.1+
  • pandas 0.20.3+
  • scikit-learn 0.19.0+
  • seaborn 0.8.0+
  • bokeh 0.12.10+
• Python libraries that require manual installation
  • mixtend
  • version_information
  • ipython-sql
  • pdir2
  • graphviz