Just Enough Python

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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. 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. 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.

Code Title Duration Price HT
PYTHON02 Just Enough Python 1 days Consult us

Objectives

  • 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

Public

Developers

Prerequisites

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.

Post-Training

Spark and Hadoop Developer Training

Methods

50% Pratique 50% Théorique

Program

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

Environment

Tags

Python

Order