Self Paced Python Online Training Modules Overview

An Introduction to Python

• Introductory Remarks about Python
• Strengths and Weaknesses
• A Brief History of Python
• Self Paced Python Versions
• Installing Python
• Environment Variables
• Executing Self Paced Python from the Command Line
• IDLE
• Editing Self Paced Python Files
• Getting Help
• Dynamic Types
• Self Paced Python Reserved Words
• Naming Conventions

Basic Self Paced Python Syntax

• Introduction
• Basic Syntax
• Comments
• String Values
• String Operations
• The format Method
• String Slices
• String Operators
• Numeric Data Types
• Conversions
• Simple Input and Output
• The print Function

Language Components

• Introduction
• Control Flow and Syntax
• Indenting
• The if Statement
• Relational Operators
• Logical Operators
• True or False
• Bit Wise Operators
• The while Loop
• break and continue
• The for Loop

Collections

• Introduction
• Lists
• Tuples
• Sets
• Dictionaries
• Sorting Dictionaries
• Copying Collections
• Summary

Functions

• Introduction
• Defining Your Own Functions
• Parameters
• Function Documentation
• Keyword and Optional Parameters
• Passing Collections to a Function
• Variable Number of Arguments
• Scope
• Functions- First Class Citizens
• Passing Functions to a Function
• Mapping Functions in a Dictionary
• Lambda
• Closures
• Modules

Modules

• Standard Modules – sys
• Standard Modules – math
• Standard Modules – time
• The dir Function

Exceptions

• Errors
• Run Time Errors
• The Exception Model
• Exception Hierarchy
• Handling Multiple Exceptions
• raise
• assert
• Writing Your Own Exception Classes

Input and Output

• Introduction
• Data Streams
• Creating Your Own Data Streams
• Access Modes
• Writing Data to a File
• Reading Data From a File
• Additional File Methods
• Using Pipes as Data Streams
• Handling IO Exceptions
• Working with Directories
• Metadata
• The pickle Module

Classes in Python

• Classes in Python
• Principles of Object Orientation
• Creating Classes
• Instance Methods
• File Organization
• Special Methods
• Class Variables
• Inheritance
• Polymorphism
• Type Identification
• Custom Exception Classes
• Class Documentation – pydoc

Regular Expressions

• Introduction
• Simple Character Matches
• Special Characters
• Character Classes
• Quantifiers
• The Dot Character
• Greedy Matches
• Grouping
• Matching at Beginning or End
• Match Objects
• Substituting
• Splitting a String
• Compiling Regular Expressions
• Flags

advanced concepts

• Generators
• Decorators
• Iterator

Third party modules

• Based on students req. In general dB module, and built-in modules

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SacrosTek Systems offer certification programs for Python. Certificates are issues on successful completion of the course and the assessment examination. Students are requested to participate in the real-time project program to get first-hand experience on the usage and application of the Python. The real-time projects are designed by our team of industry experts to help students get best possible exposure to the Self Paced Python and its applications.