Python Programming Fundamentals With Ai Insights

Python Programming Fundamentals With Ai Insights
Published 3/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz

"Python for AI: Fundamentals to GUI Dev" "Essential Python: Data Science and GUI", Python fundamentals

What you’ll learn

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

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

Lecture 10 AI History

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.