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Custom Python classess are tailored to your specific needs. These classes can be delivered at your location or at our training facility in Austin, TX. Classes are typically scheduled at least 8 weeks in advance and can be held worldwide.

Custom Python classes are based on Anaconda Academy modules which can be assembled into a tailored class. The Anaconda Academy modules is a list of half day blocks that you can select from to target your specific areas of interest. Note that the 3-day Introduction to Python is a required foundation and comprises these four modules plus an abbreviated introduction to scientific tools.

Within custom classes we may waive the 3-day Introduction to Python foundation—or other modules that would otherwise be prerequisite—if we are satisfied all students have previously obtained competence sufficient to skip those modules.

As indicated in the diagram, modules may have prerequisite modules. Custom classes can be composed of any of the modules and each module can be covered in introductory or advanced levels.

The Anaconda Academy modules available as building blocks for custom classes include:

Module

Prerequisite

Programming tools and techniques

  • Introduction to Python

Data formats and storage

  • Introduction to Python

Visualization

  • Introduction to Python

Fast numeric arrays in Python

  • Introduction to Python

Advanced Python

  • Introduction to Python

Labeled, tabular data

  • Introduction to Python
  • Fast numeric arrays in Python

Image processing

  • Introduction to Python
  • Fast numeric arrays in Python

Machine Learning

  • Introduction to Python
  • Fast numeric arrays in Python

Optimizing performance

  • Introduction to Python
  • Advanced Python
  • Fast numeric arrays in Python

Big Data

  • Introduction to Python
  • Fast numeric arrays in Python
  • Labeled, tabular data

Data science

  • Introduction to Python
  • Labeled, tabular data
  • Fast numeric arrays in Python
  • Visualization
  • Machine learning

Three typical tracks requested are:

  • Data exploration
  • Data science
  • Advanced Python

The recommended modules for each of these tracks is: