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Beginner Guide to Learn Python Programming Language

SynopsisBeginners Guide to Learn Python Programming Language, availab...
Beginner Guide to Learn Python Programming Language  No.1

Beginners Guide to Learn Python Programming Language, available at Free, has an average rating of 4.41, with 48 lectures, 9 quizzes, based on 85 reviews, and has 2697 subscribers.

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You will learn about Learn programming with Python Learn important data structures in python programming Learn about modularization – function, modules and packages Object oriented programming with Python This course is ideal for individuals who are Looking for to learn python programming language It is particularly useful for Looking for to learn python programming language.

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Summary

Title: Beginners Guide to Learn Python Programming Language

Price: Free

Average Rating: 4.41

Number of Lectures: 48

Number of Quizzes: 9

Number of Published Lectures: 48

Number of Published Quizzes: 9

Number of Curriculum Items: 57

Number of Published Curriculum Objects: 57

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

  • Learn programming with Python
  • Learn important data structures in python programming
  • Learn about modularization – function, modules and packages
  • Object oriented programming with Python
  • Who Should Attend

  • Looking for to learn python programming language
  • Target Audiences

  • Looking for to learn python programming language
  • Learn the core programming concepts such as variables, data types, flow of control, functions, modules, packages and OOPS in python.

    Course Structure

    Introduction:

  • Introduction to Python

  • Installing Python

  • Running Python Programs

  • Course Structure (Variables, Control Flow, Functions, File handling, OOPS)

  • Basic constructs: Variables & Datatypes:

  • Variables and datatypes

  • Operators

  • Basic Input / Output

  • Basic constructs: Control Flow:

  • Conditions

  • Loops

  • Control flow

  • Nested Conditions and Loops

  • Lists and Tuples:

  • Lists

  • Accessing / Modifying Lists

  • Demo: Accessing / Modifying Lists

  • Tuples

  • Demo: Tuples

  • String Manipulation:

  • Strings

  • Operations – Concatenation, Indexing, Slicing, Search, other methods

  • Common methods: len, lower, upper, strip, split, replace

  • String Formatting

  • Demo: String formatting

  • Sets and Dictionaries:

  • Accessing / Modifying Dictionaries

  • Demo: Dictionaries

  • Accessing / Modifying Sets

  • Demo: Sets

  • Functions:

  • Parameters and Return values

  • Demo: Function with numbers

  • Variable scopes – local, global

  • Demo: scopes

  • File Handling:

  • Read/Write files

  • Modes and Exceptions

  • Read/Write text file

  • Handling exceptions

  • Demo: File handling

  • Modules and Packages:

  • Modules and Packages

  • Importing modules

  • Create / use packages

  • Demo: modules & packages

  • Object-Oriented Programming:

  • Classes and Objects

  • Inheritance

  • Polymorphism

  • Method overriding

  • What 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.

  • Requirements

  • Basics knowledge of Internet and Computers

  • Windows / Linux / Mac OS X Machine with Internet

  • Content team

  • Expert: Dhayanidhi Chinnaraj, Arunkumar Krishnan

  • Production: Vishnu Sakthivel, Visshwa Balasubramanian

  • Course Curriculum

    Chapter 1: Introduction

    Lecture 1: Introduction to python

    Lecture 2: Installing python

    Lecture 3: Running python program

    Lecture 4: Course structure

    Chapter 2: Basic programming constructs

    Lecture 1: Variables and datatypes

    Lecture 2: Operators

    Lecture 3: Input and output (I/O)

    Lecture 4: Summary

    Chapter 3: Programming constructs : Control flow

    Lecture 1: Conditions

    Lecture 2: Loops

    Lecture 3: Control flow

    Lecture 4: Nested conditions and loops

    Lecture 5: Summary

    Chapter 4: Data structures: Lists and Tuples

    Lecture 1: Lists

    Lecture 2: Working with Lists

    Lecture 3: Tuples

    Lecture 4: Summary

    Chapter 5: String Manipulation

    Lecture 1: Strings

    Lecture 2: String operations

    Lecture 3: Common string methods

    Lecture 4: String formatting

    Lecture 5: Demo: String Formatting

    Lecture 6: Summary

    Chapter 6: Data structures: Sets and Dictionaries

    Lecture 1: Sets

    Lecture 2: Demo: Sets

    Lecture 3: Dictionaries

    Lecture 4: Demo: Dictionaries

    Chapter 7: Modular programming: Functions

    Lecture 1: Functions – parameters and return values

    Lecture 2: Demo: functions

    Lecture 3: Scope of variables

    Lecture 4: Demo: Scope

    Lecture 5: Summary

    Chapter 8: File handling

    Lecture 1: Read/Write files

    Lecture 2: Modes and Exception handling

    Lecture 3: Read/Write a text file

    Lecture 4: Handling Exception

    Lecture 5: Demo: Dealing with files

    Lecture 6: Summary

    Chapter 9: Modular programming: Modules and Packages

    Lecture 1: Modules and Packages

    Lecture 2: Importing modules

    Lecture 3: Create and use Package

    Lecture 4: Demo: Modules and Packages

    Lecture 5: Summary

    Chapter 10: Object Oriented Programming

    Lecture 1: Classes and Objects

    Lecture 2: Inheritance

    Lecture 3: Polymorphism

    Lecture 4: Method overriding

    Lecture 5: Summary

    Instructors

  • Beginner Guide to Learn Python Programming Language  No.2
    Techjedi LLP
    Learn from Experts
  • Rating Distribution

  • 1 stars: 2 votes
  • 2 stars: 4 votes
  • 3 stars: 14 votes
  • 4 stars: 19 votes
  • 5 stars: 46 votes
  • Frequently Asked Questions

    How long do I have access to the course materials?

    You can view and review the lecture materials indefinitely, like an on-demand channel.

    Can I take my courses with me wherever I go?

    Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!