Getting Started With Python

Getting Started With Python, available at $19.99, has an average rating of 4.36, with 91 lectures, 3 quizzes, based on 106 reviews, and has 713 subscribers.

You will learn about Fundamentals of Python Programming Working with VS Code and Jupyter Notebook Live Programming Examples and Projects GUI Programming using Tkinter Module Python Modules Object Oriented Programming in Python Exception Handling in Python Python Data Types This course is ideal for individuals who are Beginners in the field of programming, experts who want to have a quick recap and brush up the concepts. The course is easy to follow and its completely hands-on It is particularly useful for Beginners in the field of programming, experts who want to have a quick recap and brush up the concepts. The course is easy to follow and its completely hands-on.

Enroll now: Getting Started With Python

Summary

Title: Getting Started With Python

Price: $19.99

Average Rating: 4.36

Number of Lectures: 91

Number of Quizzes: 3

Number of Published Lectures: 91

Number of Published Quizzes: 3

Number of Curriculum Items: 94

Number of Published Curriculum Objects: 94

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Fundamentals of Python Programming

Working with VS Code and Jupyter Notebook

Live Programming Examples and Projects

GUI Programming using Tkinter Module

Python Modules

Object Oriented Programming in Python

Exception Handling in Python

Python Data Types

Who Should Attend

Beginners in the field of programming, experts who want to have a quick recap and brush up the concepts. The course is easy to follow and its completely hands-on

Target Audiences

Beginners in the field of programming, experts who want to have a quick recap and brush up the concepts. The course is easy to follow and its completely hands-on

This course provides a comprehensive overview of Python Programming which is one of the most widely used computer programming language in the world today.  The language has a strong presence in domains like: Data Science, Artificial Intelligence, Machine Learning, Cyber Security, Web Development and many other domains that are relevant today. The course covers the language basics as well as the algorithms that are required to build a program. The hands-on part of Python has been implemented in VS Code and Jupyter Notebook, so that learners can get used to the software environments that are popular in the community.  The course has been designed in such a way that beginners can follow along easily in a step by step manner and get confident in their coding skills.  If you have knowledge of other programming language then also you will find the resources helpful that will help you to get used to Python programming and its syntax in no time. At a glance the following concepts are covered:

1. Python Programming basics: Working with variables, type casting, processing user input

2. Loops in Python: if-else, For, While

3. Python Data Types: List, Dictionary, Tuple, Set

4. Exception Handling

5. Functions

6. Modules: DateTime, Regex, Turtle, Tkinter: GUI Programming,  MATPLOTLIB

7. Creating Executable File

8. Object Oriented Programming: Polymorphism, Inheritance, Encapsulation

9. Mini Projects/Coding Challenges: Random Password Generator, QR Code Generator

10. API Handling: JSON decoding in Python

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Overview

Lecture 2: Python Introduction

Lecture 3: Downloading Python

Lecture 4: VS Code Download

Lecture 5: Getting Started

Lecture 6: Anaconda Introduction

Lecture 7: Working with Jupyter Notebook

Lecture 8: Taking User Input

Lecture 9: Typecasting

Lecture 10: Compiler & Interpreter

Chapter 2: Conditional Statements and Loops

Lecture 1: if else

Lecture 2: for loop

Lecture 3: while loop

Lecture 4: F String Demo

Chapter 3: BMI Project

Lecture 1: BMI Introduction

Lecture 2: BMI Coding Part

Chapter 4: Coding Challenge-Sum of Digits

Lecture 1: Sum of digits-Logic Part

Lecture 2: Sum of Digits- Coding Part

Chapter 5: Coding Challenge- Reversing a Number

Lecture 1: Reversing a Number-Concept Part

Lecture 2: Reversing a Number-Coding Part

Chapter 6: Coding Challenge- Factorial

Lecture 1: Factorial – Logical Part

Lecture 2: Factorial – Coding Part

Chapter 7: Data Types in Python

Lecture 1: List Introduction

Lecture 2: List-Demo

Lecture 3: List-Element Count

Lecture 4: List Indexing

Lecture 5: List Operation

Lecture 6: List Sorting

Lecture 7: Dictionary Introduction

Lecture 8: Dictionary Demo

Lecture 9: Tuple Intro

Lecture 10: Tuple Demo

Lecture 11: Set Introduction

Lecture 12: Set Demo

Chapter 8: Functions in Python

Lecture 1: Function – Part 1

Lecture 2: Function – Part 2

Lecture 3: Function – Part 3

Lecture 4: Function – Part 4

Lecture 5: Local Vs Global Variable

Lecture 6: Lambda Function

Lecture 7: Lambda Function: Coding Part

Chapter 9: Modules

Lecture 1: Regex

Lecture 2: DateTime

Lecture 3: Turtle Introduction

Lecture 4: Drawing Square Shape

Lecture 5: Drawing Circle

Lecture 6: Drawing Triangle: Concept

Lecture 7: Drawing Triangle: Code

Lecture 8: Drawing Star

Lecture 9: Drawing Spiral: Concept

Lecture 10: Drawing Spiral: Code

Chapter 10: GUI Programming using Tkinter Module

Lecture 1: Introduction to Tkinter Module

Lecture 2: Geometry Managers in Tkinter

Lecture 3: GUI Window with Button

Lecture 4: Tkinter Button Functions

Lecture 5: Tkinter Messagebox

Lecture 6: Tkinter BMI

Lecture 7: Tkinter EXE File Concept

Lecture 8: Tkinter BMI Exe File Creation

Lecture 9: Tkinter Grid Method

Chapter 11: MATPLOTLIB

Lecture 1: Line Chart

Lecture 2: Scatter Plot and Bar Graph

Lecture 3: Pie Chart

Lecture 4: Histogram

Lecture 5: Subplot in MATPLOTLIB

Chapter 12: Object Oriented Programming

Lecture 1: Object Oriented Programming Introduction

Lecture 2: Classes and Objects

Lecture 3: Using a variable in OOP

Lecture 4: Dunder Function

Lecture 5: Polymorphism

Lecture 6: Inheritance Part 1

Lecture 7: Inheritance Part 2

Lecture 8: Multilevel Inheritance

Lecture 9: Access Modifier Part 1

Lecture 10: Access Modifier Part 2

Chapter 13: Exception Handling

Lecture 1: Exception Handling: An Overview

Lecture 2: Exception Handling: Hands-On Part

Chapter 14: Project – Random Password Generator

Lecture 1: Random Password Generator- Introduction

Lecture 2: Random Password Generator – Coding Part

Chapter 15: QR Code Generator

Lecture 1: QR Code Introduction

Lecture 2: Installation

Lecture 3: QR Code Live Code

Instructors

Dr. Umesh Dutta
Ph.D. in Electronics & Communication Engineering

Ina Singh
M.Tech (Electronics and Communication)

Rating Distribution

1 stars: 0 votes

2 stars: 2 votes

3 stars: 9 votes

4 stars: 34 votes

5 stars: 61 votes

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