Python Masterclass: Learn By Building 15 Projects & ChatGPT

Master Python: Go Basics To Advance With Projects (Web, GUI, Automation, Scraping, Data Analysis, OpenAI ChatGPT & More)

4.55 (832 reviews)
Udemy
platform
English
language
Programming Languages
category
instructor
Python Masterclass: Learn By Building 15 Projects & ChatGPT
3,611
students
25 hours
content
Nov 2023
last update
$109.99
regular price

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!

Why take this course?

🎓 **[Course Title]** Python Masterclass: Learn By Building 15 Projects & ChatGPT 🚀 **[Course Headline]** Master Python: Go Basics To Advanced With Projects (Web, GUI, Automation, Scraping, Data Analysis, OpenAI ChatGPT & More) --- 📚 **[Course Description]** Welcome to the **Python Programming A-Z** course! 🚀 This is your gateway into the world of Python if you're a complete beginner or looking to solidify and expand your existing knowledge. This comprehensive course is meticulously designed to guide you through every important concept in Python with practical examples and real-world projects. **Core Fundamentals Covered:** - 🧠 **Python Basics**: Learn the foundational elements of Python programming, including expressions, variables, and output generation. - 💻 **Operators**: Dive into Python's assignment operators, relational and logical operators, and short-circuit operators to master expression evaluation. - 🤔 **Conditionals & Control Flow**: Get comfortable with the `if` statement and control flow structures like loops (`for` and `while`) and their variations—`break` and `continue`. - 🧵 **Data Structures**: Explore Python's built-in data types such as lists, sets, dictionaries, and tuples in detail. - 🔒 **Object-Oriented Programming (OOP)**: Cover the core OOP concepts like classes, objects, encapsulation, inheritance, and abstract classes. - 🛡️ **Error & Exception Handling**: Master try-except blocks, custom exceptions, and robust error handling to create crash-proof code. **Advanced Concepts Unlocked:** - ♾️ **Recursion**: Understand the power of recursive functions. - 📊 **Map, Filter, Reduce**: Learn how to process datasets with these functional programming techniques. - ✍️ **List Comprehensions & Regular Expressions**: Streamline your code with these powerful tools. - ✨ **Decorators & Logging**: Enhance your functions with decorators and log their activities for better debugging and monitoring. - ⏰ **Date and Time**: Handle date and time data accurately in your applications. - 🪖 **New Python Features**: Learn about the Walrus Operator, Positional-Only Arguments, f-Strings, Union Operator, Type Hinting, Native Time Support, and Structural Pattern Matching. - 🚀 **Exception Handling Improvements**: Write better error messages and handle exceptions more effectively. **Hands-On Projects:** - 🎨 **Image Generator with DALL-E & OpenAI**: Bring your ideas to life with cutting-edge AI technology. - 📺 **Video Summarizer with ChatGPT**: Learn how to process video content and generate summaries using ChatGPT. - 🤖 **Conversational Chatbot with OpenAI**: Create a chatbot that can converse, answer questions, and provide assistance. - 🚀 **Portfolio Web Application with Flask**: Build a web application to showcase your projects and skills. - Plus 13 more diverse projects using libraries like OpenCV, Pandas, Tkinter, Tweepy, Pillow, BeautifulSoup, and more. **Why Enroll in This Course?** - 📚 **Project-Based Learning**: Engage with the material by applying concepts directly through building projects from scratch. - 🔍 **Simplest & Most Effective Explanations**: Learn Python programming principles with clear, concise examples and use cases. - 👥 **No Prior Experience Needed**: Start from the basics and gradually move to advanced topics without any prerequisites. After completing this course, you'll be equipped with the skills to tackle internships, freelancing opportunities, or even delve into specialized fields within Python programming. 🌟 Enroll now and embark on a journey to master Python through practical, project-based learning! 🖥️🎉

Screenshots

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Our review

👩‍🏫 **Course Review for Python Programming** **Overall Rating:** 4.55/5 (Based on recent reviews) ## Pros - **Comprehensive Content**: Many reviewers found the course to be very thorough and engaging, with informative content that covers all major aspects of Python. (Multiple reviews) - **Beginner-Friendly**: The course is highly recommended for beginners, providing a solid foundation with clear explanations and projects. (Several reviews) - **Active Instructor**: The instructor is quite active in the Q&A section, which has been beneficial for learners seeking assistance. (Multiple reviews) - **No Prior Programming Required**: One reviewer, with no programming experience, felt included from the start and was glad they enrolled. (Single review) - **Highly Recommended**: The course is considered excellent by some, who have finished the videos and highly recommend it for anyone looking to learn Python. (Single review) - **Well-Organized Materials**: The course materials are well-organized with clear examples and presentations that aid in understanding the concepts. (Multiple reviews) - **Patient Explanations**: The instructor is commended for being eloquent and patient, explaining jargon and processes meticulously. (Single review) - **Great for Coding Enthusiasts**: The course is a must-recommend for coding nerds who are eager to gain in-depth knowledge about Python. (Single review) ## Cons - **Pacing for Advanced Learners**: Some advanced learners felt that the pacing was too slow and suggested that they might miss something if they skipped videos. (Single review) - **Lack of Early Exercises**: A suggestion was made to include exercises earlier in the course, such as small problem-sets based on concepts covered. This would provide practical knowledge from the beginning. (Single review) - **Initial Confusion**: There were concerns about the initial explanation of concepts like `__init__` and `self`, which were not clear. Additionally, some found the examples given (e.g., cars) to be impractical and confusing. (Single review) - **Accent Challenges**: One learner had difficulty understanding the instructor's accent, which impeded comprehension. (Single review) - **Visual Aids**: Some learners felt that visual texts or aids would enhance learning by allowing for debugging and better understanding of what is happening in the code. (Single review) - **Basic Projects**: The initial projects were deemed too basic and more like exercises to follow the curriculum, rather than creating real-world projects. (Single review) - **Installation Instructions**: There were a few challenges with verifying Python installation on platforms like macOS, with some learners finding the instructions lacking. (Single review) **Personal Experiences:** One learner had a negative personal experience due to confusion and found the course very boring, while another expressed dissatisfaction with the lack of tasks in the initial hours of learning. (Single reviews) ## General Feedback - **Engagement**: The course has engaged a wide range of learners, from complete beginners to those with prior programming knowledge. - **Accessibility**: The materials are clear and well-organized, making the course accessible for those starting their Python learning journey. - **Instructor's Role**: The instructor's active role in addressing learner queries has been positively received. - **Potential Improvements**: The course could benefit from incorporating more practical exercises early on and providing clearer installation instructions. Additionally, pacing the content for advanced learners or offering separate modules for different skill levels might enhance the overall learning experience. **Conclusion:** Overall, the Python Programming course is highly regarded for its thoroughness and beginner-friendly approach. However, there is room for improvement in terms of early practical exercises, clearer instructions for setup, and potentially pacing content to suit learners at different skill levels. The instructor's ability to explain concepts is a strong point that adds value to the course.

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2023204
udemy ID
11/13/2018
course created date
5/28/2019
course indexed date
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