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 it's 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 it's 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 it's 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 it's 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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