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Python Course Online at BeginITCareer





 
#703, 30th Main, 1st Phase, 2nd Stage,
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About The Course:-

Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing.

Who should go for this course?

Experienced Professional or a Beginner, Anyone who wants to learn programming with Python can start right away!

Pre-requisites

Although there are no hard pre-requisites, attendees having prior programming experience and familiarity with basic concepts such as variables/scopes, flow-control, and functions would be beneficial. Prior exposure to object-oriented programming concepts is not required, but definitely beneficial.

Course Objectives:-

The Course goes with the aim to understand key concepts about:

  • After the completion of the course, you should be able to:
    • Introduction to Python & Python Fundamentals
    • Python Basics
    • Python Control Structures
    • Functions
    • Modules
    • I/O & Exception handling
    • Regular Expressions
    • OOPs in Python
    • Standard libraries
    • Database Programming
    • Threads
    • Web Programming
    • Django web framework

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

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Start-End Dates: Contact Institute
Instructional Level: Appropriate for All
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Live Projects
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Reading Material
EMI Option
Online Support
Post completion course access
Practice Exams
Placement assistance
Refund Policy
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