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Just Enough Python

Course Details
Tuition (USD): $395.00 • Self Paced
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Course Details
GSA (USD): $338.29 • Self Paced

This OnDemand offering provides you with a 180-day subscription that begins on the date of purchase.

Skills Gained

  • How to define, assign, and access variables
  • Which collection types are commonly used, how they differ, and how to use them
  • How to control program flow using conditional statements, looping, iteration, and exception handling
  • How to define and use both named and anonymous (Lambda) functions
  • How to organize code into separate modules
  • How to use important features of standard Python libraries, including mathematical and regular expression support


This course is intended for students who need to become familiar with Python before progressing to one of the Cloudera developer classes. Familiarity with Java programming, object-oriented programming, and basic computer science concepts is suggested in order to get the most out of this course. However, the class does not refer specifically to big data, data analytics, Cloudera software, or Hadoop, so no experience in those areas is needed.

Course Details

Through videos and hands-on exercises, participants will learn the basics of using Python, including these topics:

  • Introduction to the features of the Python language
  • Working with variables in Python
  • Using Python collections
  • Flow control in Python
  • Program Structure
  • Working with Libraries in Python

Subscription Details

This OnDemand offering provides you with a 180-day subscription that begins on the date of purchase. While the subscription is active, you will have unlimited access to the course training materials which includes recorded course lectures and demonstrations, assessment components, and hands-on exercise instructions. You will also receive 5 runtime hours of access to the online hands-on exercise environment accessible though web browser. You can start the exercise environment when you are ready to use it. You can stop or pause it when you are done for the time being, then return anytime to continue where you left off. The exercise environment remains accessible until you have used the runtime hours or the subscription period ends, whichever occurs first.

Introduction to Python

  • Python Background Information
  • Scope
  • Exercises


  • Python Variables
  • Numerical
  • Boolean
  • String


  • Lists
  • Tuples
  • Sets
  • Dictionaries

Flow Control

  • Code Blocks
  • Repetitive Execution
  • Iterative Execution
  • Conditional Execution
  • Tentative Execution (Exception Handling)

Program Structure

  • Named Functions
  • Anonymous Functions (Lambda)
  • Generator Functions

Working with Libraries

  • Storing and Retrieving Functions
  • Module Control
  • Common Standard Libraries
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