Python Masterclass- Learn By Building 15 Projects ChatGPT

Python Masterclass: Learn By Building 15 Projects & ChatGPT, available at $109.99, has an average rating of 4.55, with 249 lectures, 4 quizzes, based on 840 reviews, and has 3659 subscribers.

You will learn about Learn to write clean Python code keeping project building approach in mind Integrating ChatGPT to our regular day learning to understand things 2x faster Understand fundamental, intermediate and advanced concepts with detailed explanations and examples! Work on 13 different projects and 2 assignments with modules: OpenCV, Pandas, Tkinter, Tweepy, Pillow, BeautifulSoup, OpenAI, Flask & More! Learn about 4 Pillars of Object Oriented Programming Build problem solving skill with practical examples and project implementations Use ChatGPT to build project from scratch, build, explain and modify anything! Explore new features included in Python latest versions including Python 3.12 Explore different niches through projects: Web & Desktop Application, Data Analysis, Work with API, Web Scraping, Automation & More! Explore OpenAI API for custom projects: AI Chatbot, Podcast Script Writer, Image Generation with DALL-E & More! This course is ideal for individuals who are Anyone who wants to learn Python or Anyone who wants to learn programming (No previous knowledge required) It is particularly useful for Anyone who wants to learn Python or Anyone who wants to learn programming (No previous knowledge required).

Enroll now: Python Masterclass: Learn By Building 15 Projects & ChatGPT

Summary

Title: Python Masterclass: Learn By Building 15 Projects & ChatGPT

Price: $109.99

Average Rating: 4.55

Number of Lectures: 249

Number of Quizzes: 4

Number of Published Lectures: 244

Number of Published Quizzes: 4

Number of Curriculum Items: 253

Number of Published Curriculum Objects: 248

Original Price: $189.99

Quality Status: approved

Status: Live

What You Will Learn

Learn to write clean Python code keeping project building approach in mind

Integrating ChatGPT to our regular day learning to understand things 2x faster

Understand fundamental, intermediate and advanced concepts with detailed explanations and examples!

Work on 13 different projects and 2 assignments with modules: OpenCV, Pandas, Tkinter, Tweepy, Pillow, BeautifulSoup, OpenAI, Flask & More!

Learn about 4 Pillars of Object Oriented Programming

Build problem solving skill with practical examples and project implementations

Use ChatGPT to build project from scratch, build, explain and modify anything!

Explore new features included in Python latest versions including Python 3.12

Explore different niches through projects: Web & Desktop Application, Data Analysis, Work with API, Web Scraping, Automation & More!

Explore OpenAI API for custom projects: AI Chatbot, Podcast Script Writer, Image Generation with DALL-E & More!

Who Should Attend

Anyone who wants to learn Python

Anyone who wants to learn programming (No previous knowledge required)

Target Audiences

Anyone who wants to learn Python

Anyone who wants to learn programming (No previous knowledge required)

Welcome to Python Programming A-Z. One course to start your Python Journey as a beginner step-by-step. The course touches on every important concept of Python with explanations, examples & implementation. The entire course is designed for beginners with one goal in mind, to learn concepts and build Python projects.

Throughout the course, we will explore the most important Pythontopics step-by-step:

Fundamental Concepts:

Basics of Python Programming – Expressions, Variables, and Printing Output

Python Operators – Python Assignment Operators, Relational and Logical Operators, Short Circuit Operators

Python Conditionals and If Statement

Methods – Parameters, Arguments, and Return Values

Complete Object Oriented Programming – Class, Objects

OOPS – Encapsulation, Inheritance, and Abstract Class.

Python Data Structures In-depth – List, Set, Dictionary, and Tuples

Conditionals – If Else Statement, Nested If Else

Loops – For Loop, While Loop in Python, Break and Continue

Mutability – Immutability of Python Basic Types.

Builtin And User-Defined Modules

Errors And Exception Handling – try, except, else, and finally.

Custom Exception – Raising Exception, Creating, and Raising a Custom Exception.

Advanced Concepts:

Recursion

Map, Filter and Reduce

List Comprehension

Regular Expressions

Decorators

Logging

Date and Time

Walrus Operator, Positional-Only Argument & f-String

Union Operator, Type Hinting & Native Time Support

Structural Pattern Matching

Exception Notes, Better Error Message & Speed Improvement

Projects:

Face Detectionwith OpenCV

Password Generatorwith Random Module

Data Analysis with Pandas

Accessing Data through CoinMarketCap API

Building Desktop Applicationswith Tkinterand Integrating SQLite3 Database.

Automated Twitter Bot with Tweepy

Automated Web Scraper and mailing with BeautifulSoup

Automated Social Media Image Generation using Pillow library and OpenWeatherMap API

Podcast Script Writerwith OpenAI

Conversational Chatbotwith OpenAI

Image Generatorwith DALL-E

Video Summarizerwith ChatGPT

Portfolio Web Applicationwith Flask Framework

Overall we work on 13 different projects and 2 assignments With OpenCV, Pandas, Tkinter, Tweepy, Pillow, BeautifulSoup, OpenAI, Flask& more. Some projects cover only basics whereas others are in-depth. The main goal of this course is to learn programming by building projects.

Why this course?

Complete course is focused on the project-building approach, you learn every concept through a logical approach.

Learn all important concepts in the simplest possible way with many examples and projects.

No previous programmingor coding experience is required, we will cover everything step-by-step from basics.

After completing this course you will be ready to work as an Intern, fresher, or freelancer and you will also be able to implement everything yourself! Most importantly you will be ready to divide deep with other niche dependent scopes with Python. 

Enroll now, I will make sure you learn the best about Python.

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Course Introduction

Lecture 2: Welcome – Lets Get Started!

Lecture 3: Resources [Important]

Lecture 4: Python Programming – Is Python A Bubble?

Chapter 2: Python Setup & Installing

Lecture 1: Python 3.x Installation

Lecture 2: Installing Python on Linux/Mac

Lecture 3: Different Methods To Execute Python Codes

Chapter 3: Writing Our First Python Program

Lecture 1: Variables and Python Memory Management

Chapter 4: Datatypes in Python

Lecture 1: Datatypes in Python

Lecture 2: Sequences in Python

Lecture 3: Sets, Dictionary

Lecture 4: Literals and Identifiers

Lecture 5: Reserve Words – You Cannt Use Them!

Chapter 5: Operators in Python

Lecture 1: Operators: Arithmetic, Assignment

Lecture 2: Operators: Unary Minus, Relational, Logical, Boolean

Lecture 3: Understanding Escape Characters

Chapter 6: Input and Output

Lecture 1: Introduction to Input and Output Statements

Lecture 2: Output Statements

Lecture 3: Input Statements

Lecture 4: Python Built-in Functions and Built-in Module

Chapter 7: IDE (Integrated Development Environment)

Lecture 1: Working With Code Editor

Chapter 8: Python Control Statements

Lecture 1: Conditionals: If, If Else and Indentation

Lecture 2: Indentation

Lecture 3: Conditionals: If Else Statements With Operators

Lecture 4: Conditionals: if elif else Statements + Nested if Statements

Chapter 9: Loops In Python

Lecture 1: While Loop

Lecture 2: For Loops – Part 1

Lecture 3: For Loops – Part 2

Lecture 4: Break and Continue Statements

Chapter 10: Strings and Characters

Lecture 1: Comments and Doc Strings

Lecture 2: Diving Deep With Strings

Chapter 11: Lists, Tuples and Dictionaries

Lecture 1: Diving Deep – List

Lecture 2: Diving Deep – Tuples

Lecture 3: Diving Deep – Dictionaries

Lecture 4: Indexing, Slicing, Negative Indexing

Chapter 12: Functions

Lecture 1: What are Functions?

Lecture 2: Parameters, Arguments, Return

Lecture 3: Formal and Actual Arguments (arg, *arg, **karg)

Lecture 4: Local and Global Variables

Chapter 13: Object Oriented Programming (OOP)

Lecture 1: Introduction to Object Oriented Programming (OOP)

Lecture 2: Classes and Objects in Python (OOP)

Lecture 3: Understanding init() Method and self Parameter

Lecture 4: Theory: Understanding init() Method and self Parameter

Lecture 5: Solving Task: OOPS

Lecture 6: Defining Multiple Constructors in Python?

Lecture 7: Encapsulation

Lecture 8: Public And Private Methods

Lecture 9: Inheritance

Lecture 10: Getter and Setter

Lecture 11: Creating And Importing Module

Lecture 12: Creating User Defined Module

Lecture 13: Multiple Inheritance

Lecture 14: Understanding super() Function [Part 1]

Lecture 15: Understanding super() Function [Part 2]

Lecture 16: Python Naming Convention (Classes, Variables, Functions, Methods )

Lecture 17: Composition

Lecture 18: Aggregation

Lecture 19: Abstract Classes

Lecture 20: Discussing Over import And from

Lecture 21: Operator Overloading [Part 1]

Lecture 22: Operator Overloading [Part 2]

Chapter 14: Errors And Exceptions Handling

Lecture 1: Errors – Types of Errors!

Lecture 2: Exceptions

Lecture 3: Exceptions Handling Introduction

Lecture 4: Exceptions Handling

Lecture 5: Try, Except, Else And Finally

Lecture 6: Raising Exception

Lecture 7: Creating User Defined Exception

Chapter 15: __name__ == __main__

Lecture 1: if __name__ == __main__

Chapter 16: Python I/O – File Handling

Lecture 1: Creating Text File And Write Content

Lecture 2: Appending Files – 1 | Solving Example – File Handling

Lecture 3: Appending Files – 2 | Solving Example – File Handling

Lecture 4: How To Read Content From A File

Chapter 17: Python Package Management System

Lecture 1: pip – PyPI for Managing Python packages

Chapter 18: Project 1 – Face Detection

Lecture 1: What is OpenCV?

Lecture 2: OpenCV Face Detection With Python

Lecture 3: Detecting Elon Musk And Mark Zuckerberg Faces

Lecture 4: OpenCV Face Detection – Project Code

Lecture 5: Detecting Faces Of All Images In The Folder

Chapter 19: Project 2 – Password Generator

Lecture 1: Random Module

Lecture 2: Random Password Generator

Instructors

Shubham Sarda
Software Developer & Instructor

Rating Distribution

1 stars: 13 votes

2 stars: 10 votes

3 stars: 96 votes

4 stars: 345 votes

5 stars: 376 votes

Frequently Asked Questions

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

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