Python Scripting Certification Training

Description

Python is an Interpreted, high level, object oriented programming language with dynamic semantics. Python’s high level built in data structures, combined with dynamic binding as well as dynamic typing, make it attractive for Rapid Application Development and for use as glue or scripting language to connect existing components together. Python’s easy, simple to learn syntax emphasizes readability and therefore reduces the cost of program manage and maintenance. Python supports packages and modules, which encourages program modularity and code reuse. The extensive standard library and python interpreter are available in source or binary form without charge for all major platforms, as well as can be freely distributed.

Radiant Teachlearning offers Python Scripting Training Program in Classroom and Virtual instructor Led/Online mode.

Duration: 3 day

Learning Objective

This is a hands-on training program, designed to help the developers to speed-up in Python, as quickly as possible. The participant’s in this training program will experience the following:

Architecture
Input and output
Controlflow
Error handling.
Function
Garbage collection
Object-oriented features.
Built-in data types: using them, and inheriting from them in classes you design.
List comprehensions, decorators, iterators, generators, with context managers.
Creating and using libraries and packages.
Python Packaging
XML Handling
Database Interaction

Lab requirements:

As the training is highly lab oriented, each participant Attending the training program must be provided with a Computer with the following software installed:
Windows or Linux with ActivePython 2.7.8 installed
Pycharm community edition (IDE)

Pre-requisite

The participants should have prior programming experience and should be familiar with basic programming constructs. Prior exprience to object-oriented programming would definitely add advantage.

Audience Profile

This training program is designed for developers, system administrators, and test engineers, who wish to develop, automate, and test applications and systems with help of Python

Course Content

[Day 1]

1: Python Introduction

What’s Python?
Why do people use Python?
Some quotable quotes
A Python history lesson
Advocacy News
What’s Python good for?
What’s Python not good for?
The features list
Python portability
Summary

2. Using the Interpreter

Python’s Interactive Prompt
Scripting
Program Execution Model
Program Architecture: modules
How to run Python programs
The IDLE interface
Other python IDEs

3. Python Scripting

Python Scripts in Linux/Unix & Windows
Whitespace Significance
Line Termination
Comments in Python
Basic Output Generation
Simple User Input
Python Modules
Module Search Paths
Determining the System Search Path
input()
raw_input()

4. Working with Variables in Python

Python Variables
Naming Conventions & Rules
Types as Objects
Variable References & Garbage Collection
Sequence Types
Membership Statements
List Iteration
Sequence Assignments
Mutable vs Immutable Objects
Multi Target Assignments

5. Numeric Operations in Python

More About Python’s Numeric Types
Numeric Tools
The Decimal Module
Operator
Arithmetic
Logical
Relational
Bitwise
Special Operators
Operator Precedence

6. Python Compound Statements

Python Nesting Recap
Comparison Operations
The if Statement
The if Ternary Expression
The while Loop
The for Loop
Traversing Parallel Sets

7. Python String Types

Generating Strings in Python
Immutable
Common String Methods
Type Conversion in Python
Formatting String Output
Format Specifier
Variable Substitution
String Indexing
String Slicing
String Iteration

8. Python’s Tuples

Immutable
Common Tuples Methods
Tuples Operations
Tuples Indexing
Tuples Slicing
Tuples Iteration
Multi-Dimensional Tuples (Matrices)

9. Python’s Lists

Common List Methods
The range() Function
List Operations
String Indexing
String Slicing
String Iteration
Multi-Dimensional Lists (Matrices)

10. Python List Comprehension

Basic List Comprehensions
Compound List Comprehensions

[Day 2]

11. Python Dictionaries

Python Dictionaries
Assigning Values to Dictionaries
Dictionary Methods
Dictionaries vs Lists & Tuples
Dictionary Indexing
Dictionary Iteration

12. Classes and Objects

Introduction to OOP using python
Classes and class attributes
Instances and instance attributes
Binding and method invocation
Composition, Subclassing and Derivation
Inheritance
Built-in functions for classes, instances and other objects
An overview of built-in python classes and modules

13. Basic Input/Output with Files

Opening Files
Working with Files
Controlling Output Location

14. Handling Compound Data Structure

Nested Structure
Parsing and Loading into Data Structure
Retrival of data from the Data Structure

15. Creating Python Functions

Function Basics
Defining Functions
Function Polymorphism
Argument Defaults
Lambdas
Local Variables
Understanding __builtin__
Preventing Variable Modifications
Argument Matching Methods
Keyword Argument Methods

[Day 3]

16. Regular expressions

Introduction to regexps
Special symbols and characters for RE
Metacharacters and Metasymbols
Character classes
Quantifiers and Positions
Searching/Matching a string/pattern
Search and replace operations
Splitting and joining strings
Practical examples

17. Modules & Packages

Module Basics
Packages
Using __all__ and _ Variables
Using __name__
Using third party modules

18. Exceptions

About Exceptions
Python’s Default Exception Handler
Using Try/Except/Else/Finally Exceptions
Generating User Defined Exceptions
More on Exceptions
Exception Examples
Using Asserts
Exception Classes

19. Standard Python modules

Using the sys module
argv, sys.path, sys.version
An overview on __builtin__ and __future__ modules
Using the os module
Filesystem/directory functions
Basic process management functions
Using the os.path module
Determining basename, dirname, path manipulation
File type/size/timestamp and other stat determination
Using the time and datetime modules

Hands On
Parsing command line arguments using sys.argv
Command-line switches parsing using optparse module
Listing directory contents using os.listdir
File test operations using os.path module
Finding files using os.walk
File operations using shutil module