Python Programming Fundamentals With Ai Insights
Date: 14 September 2025 | Posted by: AD-TEAM
Python Programming Fundamentals With Ai Insights
Published 3/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.87 GB | Duration: 3h 10m
"Python for AI: Fundamentals to GUI Dev" "Essential Python: Data Science and GUI", Python fundamentals
What you'll learn
Understand the fundamentals of Python programming, including variables, data types, loops, and functions.
Learn how to use Python for data science, including how to work with external files and use packages like NumPy, Matplotlib for data analysis and visualization
Gain experience in developing graphical user interfaces (GUIs) using Python, including how to design and implement basic GUI components and handle user input.
Build practical programming skills through hands-on exercises and projects, including developing a simple game, analyzing data sets, and creating a simple GUI
Requirements
Basic computer literacy, including the ability to navigate files and folders on your computer and install software.
Description
Are you ready to take your Python skills to the next level and unlock the power of data science and GUI development? Look no further than our Python Programming Fundamentals with AI Insights course!With our comprehensive curriculum, you'll start with the basics of Python programming, including variables, data types, strings, conditions, loops, functions, and modules. Our engaging and easy-to-follow lessons will ensure that you have a solid foundation in Python programming in no time.Once you've mastered the fundamentals, we'll guide you through the exciting world of data science with Python packages such as NumPy and Matplotlib. You'll learn how to manipulate data and create stunning visualizations, all while gaining valuable insights into AI applications.But we don't stop there! We also delve into GUI development with Python, where you'll learn how to build interactive applications that can enhance user experience. You'll create graphical user interfaces that are both functional and visually appealing, so your applications look and work great.Our course is perfect for anyone looking to learn Python programming, whether you're a beginner or an experienced programmer. With our friendly and approachable instructors, you'll never feel lost or overwhelmed. And with our convenient online format, you can learn at your own pace, whenever and wherever you want.So what are you waiting for? Enroll in our Python Programming Fundamentals with AI Insights course today and start your journey towards mastering Python for data science and GUI development!
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 What is AI
Lecture 3 AI Activity- AutoDraw
Lecture 4 Python installation
Lecture 5 Jupyter Notebook
Section 2: Simple python
Lecture 6 Semantris- AI Activity
Lecture 7 Introduction to cells and Python programming
Lecture 8 Markdown
Lecture 9 Summary and project
Section 3: Class 3 - Variables and data types
Lecture 10 AI History
Lecture 11 Variables
Lecture 12 Numeric Data and Operators
Lecture 13 Summary and project
Section 4: Strings
Lecture 14 Revision of Machine learning using Teachable machine
Lecture 15 Strings
Lecture 16 Strings Operators and f-string
Lecture 17 Summary and project
Section 5: Conditions
Lecture 18 Datasets
Lecture 19 Conditions I
Lecture 20 Conditions II
Lecture 21 Summary and project
Section 6: Lists, Tuples and Dictionaries
Lecture 22 AI in gaming
Lecture 23 Lists and Tuples
Lecture 24 Dictionaries
Lecture 25 Summary and project
Section 7: Loops
Lecture 26 Reinforcement learning
Lecture 27 Loops in python
Lecture 28 Nested loops
Lecture 29 Summary and project
Section 8: Modules and Functions
Lecture 30 Unsupervised learning
Lecture 31 Functions in Python
Lecture 32 Modules in Python
Lecture 33 Summary and project
Section 9: Reading and Writing external files
Lecture 34 Neural network
Lecture 35 Reading from files
Lecture 36 Writing to files
Lecture 37 Summary and project
Section 10: Python data science useful packages (NumPy)
Lecture 38 Recommender systems
Lecture 39 NumPy I
Lecture 40 NumPy II
Lecture 41 Summary and project
Section 11: Python data science useful packages (Matplotlib)
Lecture 42 Speech Recognition
Lecture 43 Matplotlib I
Lecture 44 Matplotlib II
Lecture 45 Summary and project
Section 12: Intro to GUI in Python
Lecture 46 Computer vision
Lecture 47 GUI I
Lecture 48 GUI II
Lecture 49 Summary and project
Section 13: Final Assesment
Beginners who are new to programming and want to learn Python from scratch.,Anyone interested in developing practical programming skills through hands-on exercises and projects.,Students who have some programming experience but want to deepen their knowledge of Python and learn how to use it for data science and GUI development.
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