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Beginner'S Guide To Learn Python Programming Language

Beginner'S Guide To Learn Python Programming Language
Free Download 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 OSX) 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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