Overview
Cloudera University’s Python training course will teach you the key language concepts and programming techniques you need so that you can concentrate on the subjects covered in Cloudera’s developer courses without also having to learn a complex programming language and a new programming paradigm on the fly.
Immersive Training
Through instructor-led discussion, as well as hands-on exercises, participants will learn:
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
Audience and prerequisites
Prior knowledge of Hadoop is not required. Since this course is intended for developers who do not yet have the prerequisite skills writing code in Python, basic programming experience in at least one commonly-used programming language (ideally Java, but Ruby, Perl, Scala, C, C++, PHP, or Javascript will suffice) is assumed.
Please note that this course does not teach big data concepts, nor does it cover how to use Cloudera software. Instead, it is meant as a precursor for one of our developer-focused training courses that provide those skills.
Book the course
- How would you like to train?
- Classroom
- Virtual Classroom
- On-Demand
- Private
Take the next step - Spark and Hadoop Developer Training
Scala and Python developers learn key concepts and expertise participants need to ingest and process data on a Cloudera cluster using the most up-to-date tools and techniques, including Apache Spark, Impala, Hive, Flume, and Sqoop.
Course Contents
Introduction
Introduction to Python
- Python Background Information
- Scope
- Exercises
Variables
- Python Variables
- Numerical
- Boolean
- String
Collections
- 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
Conclusion
Learn more
The path to certification
This course is excellent introductory preparation for the Cloudera Developer Training for Spark and Hadoop. Although we recommend further training and hands-on experience before attempting the exam, you are taking the first step towards CCA Certification.
Certification is a great differentiator. It helps establish you as a leader in the field, providing employers and customers with tangible evidence of your skills and expertise.
Advance your career
Big data developers are among the world's most in-demand and highly-compensated technical roles. Check out some of the job opportunities currently listed that match the professional profile, many of which seek CCA qualification.
Private training
We also provide private training at your site, at your pace, and tailored to your needs.