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Beginner'S Guide To Learn Python Programming Language

Beginner'S Guide To Learn Python Programming Language

Beginner'S Guide To Learn Python Programming Language

Published 12/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 136.13 MB | Duration: 0h 51m


Learn basics of python programming language

What you'll learn
Learn programming with Python
Learn important data structures in python programming
Learn about modularization - function, modules and packages
Object oriented programming with Python

Requirements
Basics knowledge of computers and computer with installation privileges

Description
Learn the core programming concepts such as variables, data types, flow of control, functions, modules, packages and OOPS in python.Course StructureIntroduction:Introduction to PythonInstalling PythonRunning Python ProgramsCourse Structure (Variables, Control Flow, Functions, File handling, OOPS)Basic constructs: Variables & Datatypes:Variables and datatypesOperatorsBasic Input / OutputBasic constructs: Control Flow:ConditionsLoopsControl flowNested Conditions and LoopsLists and Tuples:ListsAccessing / Modifying ListsDemo: Accessing / Modifying ListsTuplesDemo: TuplesString Manipulation:StringsOperations - Concatenation, Indexing, Slicing, Search, other methodsCommon methods: len, lower, upper, strip, split, replaceString FormattingDemo: String formattingSets and Dictionaries:Accessing / Modifying DictionariesDemo: DictionariesAccessing / Modifying SetsDemo: SetsFunctions:Parameters and Return valuesDemo: Function with numbersVariable scopes - local, globalDemo: scopesFile Handling:Read/Write filesModes and ExceptionsRead/Write text fileHandling exceptionsDemo: File handlingModules and Packages:Modules and PackagesImporting modulesCreate / use packagesDemo: modules & packagesObject-Oriented Programming:Classes and ObjectsInheritancePolymorphismMethod overridingWhat you will learn?Learn fundamentals of python programming language.Learn important data structures in python programming.Learn about modularization - function, modules and packages.Acquire the pre-requisite python skills to move into specific branches - Machine Learning, Data Science, etc.RequirementsBasics knowledge of Internet and ComputersWindows / Linux / Mac OS X Machine with InternetContent teamExpert: Dhayanidhi Chinnaraj, Arunkumar KrishnanProduction: Vishnu Sakthivel, Visshwa Bala

Overview
Section 1: Introduction

Lecture 1 Introduction to python

Lecture 2 Installing python

Lecture 3 Running python program

Lecture 4 Course structure

Section 2: Basic programming constructs

Lecture 5 Variables and datatypes

Lecture 6 Operators

Lecture 7 Input and output (I/O)

Lecture 8 Summary

Section 3: Programming constructs : Control flow

Lecture 9 Conditions

Lecture 10 Loops

Lecture 11 Control flow

Lecture 12 Nested conditions and loops

Lecture 13 Summary

Section 4: Data structures: Lists and Tuples

Lecture 14 Lists

Lecture 15 Working with Lists

Lecture 16 Tuples

Lecture 17 Summary

Section 5: String Manipulation

Lecture 18 Strings

Lecture 19 String operations

Lecture 20 Common string methods

Lecture 21 String formatting

Lecture 22 Demo: String Formatting

Lecture 23 Summary

Section 6: Data structures: Sets and Dictionaries

Lecture 24 Sets

Lecture 25 Demo: Sets

Lecture 26 Dictionaries

Lecture 27 Demo: Dictionaries

Section 7: Modular programming: Functions

Lecture 28 Functions - parameters and return values

Lecture 29 Demo: functions

Lecture 30 Scope of variables

Lecture 31 Demo: Scope

Lecture 32 Summary

Section 8: File handling

Lecture 33 Read/Write files

Lecture 34 Modes and Exception handling

Lecture 35 Read/Write a text file

Lecture 36 Handling Exception

Lecture 37 Demo: Dealing with files

Lecture 38 Summary

Section 9: Modular programming: Modules and Packages

Lecture 39 Modules and Packages

Lecture 40 Importing modules

Lecture 41 Create and use 'Package'

Lecture 42 Demo: Modules and Packages

Lecture 43 Summary

Section 10: Object Oriented Programming

Lecture 44 Classes and Objects

Lecture 45 Inheritance

Lecture 46 Polymorphism

Lecture 47 Method overriding

Lecture 48 Summary

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