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:
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Basics of Python Programming – Expressions, Variables, and Printing Output
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Python Operators – Python Assignment Operators, Relational and Logical Operators, Short Circuit Operators
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Python Conditionals and If Statement
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Methods – Parameters, Arguments, and Return Values
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Complete Object Oriented Programming – Class, Objects
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OOPS – Encapsulation, Inheritance, and Abstract Class.
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Python Data Structures In-depth – List, Set, Dictionary, and Tuples
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Conditionals – If Else Statement, Nested If Else
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Loops – For Loop, While Loop in Python, Break and Continue
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Mutability – Immutability of Python Basic Types.
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Builtin And User-Defined Modules
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Errors And Exception Handling – try, except, else, and finally.
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Custom Exception – Raising Exception, Creating, and Raising a Custom Exception.
Advanced Concepts:
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Recursion
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Map, Filter and Reduce
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List Comprehension
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Regular Expressions
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Decorators
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Logging
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Date and Time
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Walrus Operator, Positional-Only Argument & f-String
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Union Operator, Type Hinting & Native Time Support
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Structural Pattern Matching
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Exception Notes, Better Error Message & Speed Improvement
Projects:
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Face Detectionwith OpenCV
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Password Generatorwith Random Module
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Data Analysis with Pandas
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Accessing Data through CoinMarketCap API
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Building Desktop Applicationswith Tkinterand Integrating SQLite3 Database.
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Automated Twitter Bot with Tweepy
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Automated Web Scraper and mailing with BeautifulSoup
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Automated Social Media Image Generation using Pillow library and OpenWeatherMap API
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Podcast Script Writerwith OpenAI
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Conversational Chatbotwith OpenAI
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Image Generatorwith DALL-E
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Video Summarizerwith ChatGPT
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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?
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Complete course is focused on the project-building approach, you learn every concept through a logical approach.
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Learn all important concepts in the simplest possible way with many examples and projects.
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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 Cann't 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
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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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