Python Kickstart for Science and Data Analysis

PT27033
Summary
Python Kickstart for Science and Analysis teaches scientists, mathematicians, statisticians, and engineers to use Python for scientific and mathematical computing. Attendees learn the basics as well as the most important Python modules for working with data, from arrays, to statistics, to plotting results. The material is geared towards scientists and engineers. This is an intense course covering many topics
Prerequisites
Students must be able to write basic Python scripts, including an understanding of file I/O, lists, tuples, dictionaries, and basic knowledge of the core library. Knowledge of object-oriented programming, while helpful, is not required.
Duration
4 Days/Lecture & Lab
Audience
This course is designed for scientists, mathematicians, statisticians, and engineers.
Topics
  • Informal Python refresher as required
  • Functions, modules, and packages
  • Developer tools
  • Binary Data
  • Serializing Data
  • Excel spreadsheets
  • iPython and Jupyter
  • Introduction to NumPy
  • Introduction to Pandas
  • Introduction to SciPy
  • Plotting with Matplotlib
  • Intermediate Pandas
  • Extending Matplotlib with seaborn
  • ipywidgets
  • Speeding up Python
  • Working with HDF5

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