The 2023 Ultimate AI ChatGPT & Python Programming Bundle

Your First Program

Introduction and Setup

• Introduction - 2:13
• Install Python - 1:55
• Install Sublime Text and Git Bash Terminal - 2:48
• Set Up OpenAI API Key - 1:57
• Create a Virtual Environment - 3:06
• Pip Install The Necessary Libraries - 1:54
• Create the App! - 4:12

Build Tkinter GUI

• Create a Text Widget - 4:44
• Add A Scrollbar To The Text Widget - 2:37
• Create an Entry Widget - 2:11
• Add Some Buttons - 5:19
• API Key Section - 4:23
• Show and Hide the API Key - 3:10
• API Key - 5:03
• Save the API Key - 3:57
• Add Error Handling - 2:46
• Clear The Screen - 2:34

Using The ChatGPT API

• Check For API Key - 4:58
• Query ChatGPT - 5:12
• Parse Results From ChatGPT - 4:45

Upload Your Code To Github

• Create An SSH Key - 2:40
• Upload Your SSH Key To Github.com - 1:44
• Push Your Code To Github.com - 6:33

• Introduction - 2:30
• Install Python - 2:51
• Sublime Text And Gitbash Terminal - 3:21
• OpenAI API Key - 3:01
• Virtual Environment
• Pip Install Libraries
• Create Our App!

• Starting to Proofread a Blog Post with ChatGPT - 3:32
• Deep Proofreading for an Emotional Writing vs. Sterile Writing - 3:40
• Doing Sales Copywriting with Artificial Intelligence - AI
• Better editing and making any business writing more sophisticated - 4:34
• Create the ChatGPT Response Area - 2:11
• Create a WebForm with Bootstrap - 4:38
• Add Form Processing - 6:18

• Setup an OpenAI Account - 2:12
• Create the OpenAI Request - 5:32
• Parse OpenAI Response - 5:19
• Handle Multiline Responses - 8:03

• Create the Database Model - 5:06
• Save Data To The Database - 2:27
• Create a Database Webpage - 2:40
• Query The Database on the Web Page - 2:33
• Delete Items form the Database - 8:24
• Set up Error Handling - 2:45

• Set Up Pagination - 3:40
• Understanding Pagination Variables - 3:23
• Next - Last Pagination - 3:53
• Pagination Webpage Numbers - 7:16START
• Finishing Up - 0:43

• Introduction [Part 0 of 14] - 8:25
• Visual Studio Code Extensions [Part 1 of 14] - 1:48
• Install PyMuPDF [Part 2 of 14] - 2:43
• Get Number of Pages [Part 3 of 14] - 7:26
• Get Document Info [Part 4 of 14] - 14:54
• Get Text from Pages [Part 5 of 14] - 28:13
• Get Images from Pages [Part 6 of 14] - 22:28
• Get URLs from Pages [Part 7 of 14] - 14:08
• Make Images from Pages [Part 8 of 14] - 16:22
• Scale Pages [Part 9 of 14] - 19:36
• Rotate Pages [Part 10 of 14] - 10:12
• Split Pages [Part 11 of 14] - 16:03
• Merge Pages [Part 12 of 14] - 8:10
• Crop Pages [Part 13 of 14] - 15:23
• Add Watermark [Part 14 of 14] - 24:07

• Introduction [Part 0 of 10] - 3:44
• Main Structure [Part 1 of 10] - 31:49
• Build Display [Part 2 of 10] - 10:54
• Build Clear and Equals Buttons [Part 3 of 10] - 9:06
• Build Numbers and Operators Buttons [Part 4 of 10] - 27:23
• Define Numbers and Operators Actions [Part 5 of 10] - 12:56
• How to Evaluate an Expression?! [Part 6 of 10] - 3:56
• Define classes Node and ExpressionTree [Part 7 of 10] - 6:25
• Build Binary Tree [Part 8 of 10] - 40:24
• Evaluate Expression [Part 9 of 10] - 13:26
• Division by Zero [Part 10 of 10] - 6:26
• Make an Exe File [Bonus 1] - 7:38

• Build the Main Window [Part 1 of 39] - 13:32
• Define Main Areas with Frames [Part 2 of 39] - 16:13
• Create Add/Delete Buttons [Part 3 of 39] - 9:19
• Create Search Inputs [Part 4 of 39] - 14:02
• Create Search Buttons [Part 5 of 39] - 12:50
• Define Global Vars Section [Part 6 of 39] - 6:32
• Add Font Styles [Part 7 of 39] - 9:55
• Using TTF Fonts [Part 8 of 39] - 5:13
• Define Product List Area [Part 9 of 39] - 9:25
• Build Page Navigation Area [Part 10 of 39] - 4:20
• Build Product List Area (Rows) [Part 11 of 39] - 17:47
• Build Product List Area (Columns) [Part 12 of 39] - 15:05
• Define Product and DataManager Classes [Part 13 of 39] - 11:46
• Load Product Lines [Part 14 of 39] - 9:14
• Load Name/Description Column [Part 15 of 39] - 5:30
• Load Stock Quantity Column [Part 16 of 39] - 9:34
• Load Delete Check Button Column [Part 17 of 39] - 7:12
• Load Image Column [Part 18 of 39] - 13:43
• Load Pages Navigation [Part 19 of 39] - 12:09
• Load Total Page Number [Part 20 of 39] - 7:40
• Action Move Prev/Next Page [Part 21 of 39] - 10:06
• Search Action Engine [Part 22 of 39] - 7:26
• Filtering in Search Action [Part 23 of 39] - 5:50
• Action Clear Search [Part 24 of 39] - 4:03
• Action Mark for Delete [Part 25 of 39] - 8:23
• Reset Products to Delete [Part 26 of 39] - 8:35
• Action Delete Products [Part 27 of 39] - 12:20
• Action Add/Edit Products [Part 28 of 39] - 9:23
• Product Editor [Part 29 of 39] - 13:10
• Define Product Editor Areas [Part 30 of 39] - 3:22
• Stock Editor + Add/Update Button [Part 31 of 39] - 13:58
• Name/Description Frames [Part 32 of 39] - 4:17
• Name/Description Inputs [Part 33 of 39] - 11:27
• Product Image Editor [Part 34 of 39] - 9:13
• Select Image File [Part 35 of 39] - 7:00
• Update Product Image [Part 36 of 39] - 5:09
• Process of Saving the Product [Part 37 of 39] - 12:37
• Functions to Update and Insert a Product [Part 38 of 39] - 4:34
• Callback Method to Save the Product [Part 39 of 39] - 11:13
• Generate Stand Alone File [Extra] - 13:33

• Introduction [Part 0 of 8] - 1:29
• Create "Export PDF" Button (Single Product) [Part 1 of 8] - 7:16
• Define Function to Generate PDF (Single Product) [Part 2 of 8] - 10:16
• Insert Product's Name into PDF [Part 3 of 8] - 9:37
• Insert Product's Image into PDF [Part 4 of 8] - 18:25
• Insert Product's Description into PDF [Part 5 of 8] - 5:26
• Create "Export PDF" Button (All Products) [Part 6 of 8] - 5:20
• Define Function to Generate PDF (All Products) [Part 7 of 8] - 6:12
• Insert Multiple Product Pages into PDF [Part 8 of 8] - 10:12
• Generate Stand Alone File [Extra] - 7:38

• Introduction [Part 0 of 7] - 1:59
• Add a Menu to our App [Part 1 of 7] - 14:54
• Add actions to the Menu [Part 2 of 7] - 9:46
• How lambda functions work? [Part 3 of 7] - 7:41
• Extract text from images with easyOCR [Part 4 of 7] - 17:49
• Why our app freezes? [Part 5 of 7] - 7:33
• Using Threads (Solution 1) [Part 6 of 7] - 6:58
• Using Threads (Solution 2) [Part 7 of 7] - 20:46

• Introduction [Part 0 of 8] - 0:37
• Generate a Docx File [Part 1 of 8] - 5:09
• Add Title, Image and Description to Docx [Part 2 of 8] - 7:06
• Center the Title [Part 3 of 8] - 11:48
• Increase Font Size of Title [Part 4 of 8] - 6:53
• Center the Image [Part 5 of 8] - 5:23
• Format the Description Text [Part 6 of 8] - 5:49
• Add Option to Generate Docx to the Menu [Part 7 of 8] - 5:59
• Generate Docx from TkInter App [Part 8 of 8] - 6:01

• Introduction [Part 0 of 11] - 1:56
• Create Button Export Docx [Part 1 of 11] - 3:02
• Create Export Docx Options Window [Part 2 of 11] - 7:03
• Separate Options Window into Top and Bottom Frames [Part 3 of 11] - 4:01
• Separate the Top Frame into Two more Frames [Part 4 of 11] - 4:20
• Frame Options Title Size [Part 5 of 11] - 12:29
• Frame Options Title Color [Part 6 of 11] - 8:02
• Build Frame Button Content [Part 7 of 11] - 4:52
• Refactor docxGeneration.py [Part 8 of 11] - 11:55
• Refactor docxGeneration.py [Part 9 of 11] - 11:19
• Refactor docxGeneration.py [Part 10 of 11] - 12:58
• Using a CallBack to Get Products [Part 11 of 11] - 5:25

• 01.Python Reportlab Palms Hotel PDF - Part 1 - Build the main structure - 37:34
• 02.Python Reportlab Palms Hotel PDF - Part 2 - Make the footer - 15:21
• 03.Python Reportlab Palms Hotel PDF - Part 3 - Make the header - 24:00
• 04.Python Reportlab Palms Hotel PDF - Part 4 - Build body structure - 24:42
• 05.Python Reportlab Palms Hotel PDF - Part 5 - Make about section - 18:31
• 06.Python Reportlab Palms Hotel PDF - Part 6 - Make description section - 10:26
• 07.Python Reportlab Palms Hotel PDF - Part 7 - Make contacts section - 29:43
• 08.Python Reportlab Palms Hotel PDF - Part 8 - Make prices list section - 28:33
• 09.Python Reportlab Palms Hotel PDF - Exercise 1 - Add shadow effect to text - * 10:57
• 10.Python Reportlab Palms Hotel PDF - Exercise 2 - Add Arabic text - 8:43
• 11.Python Reportlab Palms Hotel PDF - Exercise 3 - Register a Font Family - 15:17
• 12.Python Reportlab Palms Hotel PDF - Exercise 4 - Add Five Stars! - 37:24
• 13.Python Reportlab Palms Hotel PDF - Exercise 5 - FAQs - 38:45
• 14.Python Reportlab Palms Hotel PDF - Exercise 6 - Debug ReportLab Code - 54:37
• 15.Python Reportlab Palms Hotel PDF - Exercise 7 - Django App - 83:50

• Visual Studio Code - 10:04
• 3 Tips to Get More Value Out of this Course
• Installing Visual Studio Code - 10:29
• Introduction to Python - 3:09

• Variables - 15:56
• Python Variables - 19:14
• Data Types - 11:18
• Python Data Types - 21:21
• Python Data Type Conversion - 6:11
• Variable Operators - 8:54

• If-Statements and Conditional Logic - 15:13
• If-Statements and Conditional Logic in Python - 4:20

• Loops and Iteration - 10:29
• Loops and Iteration in Python - Part 1 - 6:39
• Loops and Iteration in Python - Part 2 - 11:06

• Arrays - 10:51
• 2D Arrays - 15:10
• Multidimensional Arrays & Examples - 13:56
• Functions - 21:44
• Functions in Python - 14:41
• File Input/ Output - 25:47
• Input/ Output and Files in Python - 11:27

• Sending Emails to multiple receivers with Python - 10:41
• XML parsing - 16:26
• Multithreading in Python - 8:24

• Introducing and Installing GIT - 5:03
• Docker and Unity3D Installation - 5:14

• Building the Docker Project - 5:13
• Integrating the Project into Unity3D - 3:55

• Building our Unity3D Project - 8:22
• Robotic Operating System (ROS) Communication with Serialized Messages - 1:04

• Finalizing the Integration Process from the Unity 3D Side - 4:56
• Finalizing the Pick-and-Place Robot - 6:44

• Introduction to Pose Estimation in Robots with a UR3 Robotic Arm. What you will learn. - 1:35

• Setting Up Unity 3D and Installing Packages - 6:20
• Instatiate Game Objects with Prefabs and How to Import a Robot from a URDF file in Unity3D - 12:00

• Preparing the Scene for data collection with the Perception Package - 9:56
• Collecting, Training and Validating Data - 9:56

• Finalizing the Pose Estimation UR3 Robot - 14:47

• Introduction - 4:02
• Course Overview - 5:31

• Setting Up Python environment - 7:19
• Overview of Data Types, Numeric, Define Variables - 8:19
• Strings, Common Functions, and Methods - 14:31
• Lists, Tuples, Sets, Dictionaries, Booleans - 13:56
• If Statements, Loops - 19:11
• Define Functions, Use Packages - 15:11
• Lambda Functions, Conditional Expressions - 15:04

• Pandas Data Structures Overview - 14:32
• Loading Data - 8:00
• Previewing Data - 6:30
• Pandas Data Types Overview - 17:43
• Exporting Data - 6:32

• Combining Datasets - 13:49
• Renaming Columns - 7:42
• Selecting Columns - 4:19
• Selecting Rows and Setting the Index (1) - 14:36
• Selecting Rows and Setting the Index (2) - 13:38
• Subsetting Both Rows and Columns - 10:24
• Modifying Values - 14:11
• Making a Copy - 5:54
• Sorting Data - 10:14

• NBA Games Project Overview - 2:45

• Data Cleaning Overview - 2:15
• Removing Unnecessary Columns/Rows - 10:58
• Missing Data Overview - 17:02
• Tackling Missing Data (Dropping) - 8:14
• Tackling Missing Data (Imputing with Constant) - 18:03
• Tackling Missing Data (Imputing with Statistics) and Missing Indicators - 20:05
• Tackling Missing Data (Imputing with Model) - 7:38
• Handling Outliers (1) - 15:23
• Handling Outliers (2) - 15:57
• Cleaning Text - 15:39

• Extracting Date and Time - 20:19
• Binning - 17:55
• Mapping New Values - 11:42
• Applying Functions - 16:11

• Czech Bank Project Overview - 3:31

• EDA Overview - 2:44
• Aggregating Statistics - 23:09
• Group By - 21:48
• Pivoting Tables - 17:17
• Distribution of One Feature - 17:20
• Seaborn Library Overview - 14:03
• Relationship of Two Features (1) - 11:38
• Relationship of Two Features (2) - 16:28
• Relationship of Multiple Features - 11:40
• Seaborn Library Recap - 3:15

• Olympic Games Project Overview - 2:57

• Course Wrap Up - 0:36

• Python Data Analysis - Third Edition

• Introduction - 4:01
• Source Files - Create an Escape Room with Python
• Additional Resources
• What is Object Oriented Programming - 3:17

• Project Definition - 2:29
• Project Design - 2:56
• Text Input and Output - 8:45
• Implementing GameObject Fields - 9:24
• Implementing GameObject Methods - 10:06
• Implementing Room - 8:23
• Implementing Game Fields - 10:21
• Implementing take_turn() - 9:23
• Implementing select_object() - Part 1 - 9:38
• Implementing select_object() - Part 2 - 9:48
• Implementing guess_code() - 9:46
• Testing - Part 1 - 6:45
• Testing - Part 2 - 9:55
• Project Evaluation - 3:03

• Social Impact - 7:05
• Environmental Impact - 4:44
• Economic Impact Part - 7:35
• Data Considerations - 6:39

• Conclusion - 3:38

• Introduction to Python for ethical hacking - 5:16
• VirtualBox installation - 11:39
• Kali Linux installation - 17:05
• Guest Additions installation - 15:06
• Python in Kali terminal - 13:31

• Building a simple portscanner - 15:30
• Adding raw_input to our port scanner - 9:21
• Scanning the first 1000 ports - 4:46
• Coding an advanced port scanner part 1
• Coding an advanced port scanner part 2 - 8:48
• Finishing and testing our scanner - 8:55
• Configuring IP address and installing Metasploitable - 8:13
• Returning banner from open port - 14:45
• Coding a vulnerability scanner part 1 - 11:55
• Coding a vulnerability scanner part 2 - 7:19

• Automating SSH login part 1 - 9:54
• Automating SSH login part 2 - 9:20
• Testing our SSH login program - 8:34
• Coding SSH brute-forcer - 10:37
• Executing commands on target after brute-forcing SSH - 10:09
• Anonymous FTP login attack - 9:53
• Username and password list attack on FTP - 17:32

• SHA256, SHA512, MD5 - 8:37
• Cracking SHA1 hash with online dictionary - 16:40
• Getting password from MD5 hash - 13:22
• Cracking crypt passwords with Salt - 24:02

• Changing MAC address manually - 8:34
• Coding MAC address changer - 16:56
• Theory behind ARP spoofing - 4:42
• Crafting malicious ARP packet - 19:26
• Coding ARP spoofer - 13:31
• Forwarding packets and restoring ARP tables - 8:04
• Spoofing our IP address and sending message with TCP payload - 12:01
• Running SynFlooder with changed source IP address - 11:20
• Getting source and destination MAC address from received packets - 24:45
• Sniffing FTP username and password part 1 - 8:09
• Sniffing FTP username and password part 2 - 12:09
• Getting passwords from HTTP websites - 14:01

• Cloning any webpage - 10:36
• Printing DNS queries - 9:57
• Redirecting response to cloned page - 16:44
• Setting IP table rules and running DNS spoofer - 10:35

• Analyzing ethernet header - 16:07
• Analyzing IP header part 1 - 10:24
• Analyzing IP header part 2 - 25:34
• Analyzing TCP header - 15:13
• Analyzing UDP header - 13:20

• Theory behind socket programming - 7:20
• Wine and Pyinstaller installation - 7:41
• Setting up listener - 8:17
• Establishing connection between target and server - 6:31
• Implementing send and receive functions - 11:28
• Executing commands on target system - 11:43
• Importing JSON library to parse data - 8:19
• Converting Python backdoor to .exe - 8:14
• Using OS library to change directory - 9:58
• Downloading and uploading files to target PC - 19:07
• Hiding our backdoor and creating persistence - 13:49
• Trying to connect to server every 20 seconds - 7:52
• Downloading files to target PC - 11:49
• Capturing screenshot on target PC - 23:04
• Administrator privilege check - 8:14
• Starting other programs with our shell - 10:44
• Running our shell as an image, audio, PDF - 20:05

• Installing Pynput - 6:19
• Printing space character - 8:48
• Calling timer on our keylogger - 9:56
• Adding keylogger to our backdoor - 12:58

• What is a threaded server? - 5:05
• Accepting connections with a thread - 13:11
• Managing multiple sessions - 8:39
• Testing threaded server with Windows 10 target - 9:04
• Fixing Q command - 11:11
• Coding exit function - 13:51
• Attacking multiple targets and gathering botnet - 16:26

• Stealing saved wireless passwords - 21:55
• Saving passwords to a file - 3:02
• Bruteforcing Gmail - 10:13
• Bruteforcing any login page part 1 - 12:59
• Bruteforcing any login page part 2 - 10:07
• Finding hidden directories part 1 - 5:10
• Finding hidden directories part 2 - 6:36
• Discovering subdomains - 11:32
• Changing HTTP headers - 13:56
• Starting basic and digest authentication bruteforcer - 10:23
• Controlling threads - 8:35
• Coding run function - 10:06
• Printing usage and testing our program - 12:33
• Taking a look at ransomware - 8:20

• What is this course about? - 3:29
• Data and code
• What is AI? - 9:51
• Introduction to the Python Data Science Environment - 10:57
• Upgraded Python3 Installation - 5:44
• The IPython Ecosystem - 19:13

• Introduction to Pandas - 12:06
• Read CSV - 5:42
• Read Excel - 5:31
• Read HTML - 5:58
• Introduction to Pandas For Basic EDA - 4:30

• What is H2O?
• More H2O Installation - 2:11
• Getting Used To the H2O Framework - 2:12
• Read in Data as H2O Frame - 4:23
• Convert To H2O Frame - 2:43

• Theory Behind ML - 5:32

• What Is Supervised Classification? - 10:10
• Supervised Classification Accuracy - 4:19
• Theory of GLM - 5:25
• Set up GLMs - 11:35
• Test GLM Performance - 9:48
• Select Optimum GLM Parameters: Grid search - 10:03
• Random Forest For Binary Classification - 17:50
• Implement a Random Forest Model - 7:49
• Gradient Boosting Machine (GBM) For Regression - 11:11
• Search or GBM Parameters - 7:02
• XGB Theory - 2:02
• XGBoost for Binary Classification - 5:15
• XGBoost For Multiclass Classification - 5:12
• Search For the Best H2O Model:Select the Best Machine Learning Model - 5:20

• What Is Unsupervised Classification? - 1:38
• Principal Component Analysis (PCA) Theory - 2:37
• PCA - 6:14
• k-means theory - 1:57
• k-means - 11:08

• Theoretical Introduction - 9:17
• What are Activation Functions? - 5:50
• Implement Deep Learning for Binary Classification - 8:01
• Theory Behind Autoencoders - 1:46
• Set up Autoencoder - 4:06
• Implement the Autoencoder - 3:11

• 01 Course Overview - Opencv - 4:51PREVIEW
• 02 What You'll Need - 2:38
• Course Overview - Source File

• 00. Intro To Course And Python - 9:57
• 01. Variables - 19:19
• 02. Type Conversion Examples - 10:06
• 03. Operators - 28:54
• 04. Collections - 8:25
• 05. List Examples - 19:41
• 06. Tuples Examples
• 07. Dictionaries Examples - 14:26
• 08. Ranges Examples - 8:32
• 09. Conditionals - 6:43
• 10. If Statement Examples - 21:32
• 11. Loops - 29:42
• 12. Functions - 17:01
• 13. Parameters And Return Values Examples - 13:54
• 14. Classes And Objects - 34:11
• 15. Inheritance Examples - 17:29
• 16. Static Members Examples - 11:05
• 17. Summary And Outro - 4:08
• Source Code

• 01 Detect Edges In An Image - 8:19
• 02 Detect Contours In An Image - 11:23
• 03 Detect Corners In An Image - 9:37
• Analyze Images

• 01 Restore A Damaged Image - 18:57
• Computational Photography

• 01 Detect Objects In An Image With Masking - 15:39
• 04 Find Object In Image With Template Matching - 12:27
• 03 Extract Foreground In An Image - 18:30
• 02 Detect Faces In Images - 11:31

• 01 What Is Machine Learning - 5:26
• 02 What Is Deep Learning - 7:42
• 03 What Is A Neural Network - 8:47
• 04 What Is Ml-Agents - 5:16
• Source Files

• 01 Extract Text From An Image With Tesseract - 13:31
• 02 Improve Accuracy With Thresholding - 8:10
• 03 Change Perspective Of An Image With Foreign Text - 15:30
• 04 Extract Foreign Language Text From An Image - 8:03

• 01 Generate Data - 7:09
• 02 Build An Artificial Neural Network - 9:16
• 03 Visualize Model Results - 14:30
• SourceFiles

• 01 Load Yolo Dnn Model - 3:18
• 02 Build A Neural Network With Opencv - 7:44
• 03 Print Out Detected Objects - 6:44
• 04 Outline Objects In The Original Image - 21:57
• Source Files

• 01 Outline Objects In A Video - 10:55
• 03 Save New Frames As A Video - 5:04
• Outline objects in a video
• 02 Draw Contours On Video - 16:30

• 01 Load A Video From Drive - 7:39
• 02 Detect Faces In Video - 10:32
• 03 Detect Eyes In Video - 6:40
• 04 Save New Frames As A Video - 7:40
• Detect faces in video

• 01 Track Color In A Video - 20:06
• 02 Save New Frames As A Video - 7:14
• Track a color in videos

• 01 Load A Driving Dash Cam Video - 4:05
• 02 Process Each Video Frame - 14:54
• 03 Outline Lanes Detected - 12:21
• 04 Save New Frames As A Video - 13:52
• Source Files

• 01 Load A Video From Drive - 5:28
• 02 Detect Objects In A Video With Contours - 10:05
• 03 Detect When Motion Begins And Ends - 15:17
• 04 Record Each Time Motion Begins - 16:36
• Source Files

• Detect Emotion In A Video - 12:11
• Source Files

• 01 Load Images From The Web Into Colab - 3:00
• 02 Get Facial Landmarks From Image - 11:55
• 03 Build A Matrix From Landmark Points - 10:08
• 04 Draw A Mask Over Facial Landmarks - 7:07
• 05 Build A Warped Mask - 4:09
• 06 Combine Face Masks - 8:15
• Source Files

• Introduction - 6:48
• C1Ex1 - Olympic Circles - 10:10

• Elementary Programming - 11:05
• C2Ex1 - Area with input - 5:55
• C2Ex2 - Show current time - 9:18
• C2Ex3 - Compute distance with graphical representation - 6:12

• Mathematical Functions, Strings, Objects - 12:40
• C3Ex1 - Math functions - 4:02
• C3Ex2 - Compute change - 4:01
• C3Ex3 - Simple shapes - 2:37
• C3Ex4 - Color shapes - 3:24

• Conditional Statements - 13:02
• C4Ex1 - Guess the birthday date - 6:16
• C4Ex2 - Subtraction quiz - 2:51
• C4Ex3 - Chinese Zodiac - 2:12
• C4Ex4 - Lottery - 4:04
• C4Ex5 - Point in a circle - 3:59

• Loops - 12:04
• C5Ex1 - Guess the number - 4:28
• C5Ex2 - Subtraction quiz loop - 7:14
• C5Ex3 - Multiplication table - 4:59
• C5Ex4 - Prime number - 5:00
• C5Ex5 - Random walk - 5:46

• Functions - 9:59
• C6Ex1 - Test Max - 5:26
• C6Ex2Ex3 - GCD function - 6:05
• C6Ex4 - Random character - 10:38
• C6Ex5 - Print Calendar - 9:27
• C6Ex6Ex7 - Useful Turtle functions - 4:00

• Objects and Classes - 14:34
• C7Ex1Ex2 - TV - 4:59
• C7Ex3 - Immutable vs Mutable Object - 3:07

• GUI Programming with Tkinter - 3:22
• C8Ex1 - Simple GUI - 3:00
• C8Ex2 - Process Button Event - 2:41
• C8Ex3 - Widget Demo - 6:10
• C8Ex4 - Change Label Demo - 5:24
• C8Ex5 - Canvas Demo - 7:45
• C8Ex6 - Place Manager Demo - 2:02
• C8Ex7 - Loan Calculator - 5:52
• C8Ex8 - Image Demo - 3:26
• C8Ex9 - Menu Demo - 7:15
• C8Ex10 - Popup Menus - 3:29
• C8Ex11 - Mouse Key Event Demo - 5:41
• C8Ex12 - Enlarge Shrink Circle - 5:00
• C8Ex13 - Animation Demo - 5:16
• C8Ex14 - Control Animation - 4:59
• C8Ex15 - Scroll Text - 2:21
• C8Ex16 - Dialog Demo - 2:45

• Lists - 30:21
• C9Ex1 - Data Analysis - 2:20
• C9Ex2 - Lotto Numbers - 4:31
• C9Ex3 - Deck Of Cards GUI - 2:49
• C9Ex4 - Bounce Balls - 5:59

• Inheritance and Polymorphism - 18:51
• C10Ex1E2Ex3Ex4 - Geometric Objects - 7:33
• C10Ex5 - Polymorphism Demo - 4:01
• C10Ex6Ex7 - Clock - 5:14

• Files - 24:42
• C11Ex1 - Write Demo - 2:19
• C11Ex2 - Read Demo - 2:20
• C11Ex3 - Copy File - 1:37
• C11Ex4 - Append Demo - 1:57
• C11Ex5 - Write Read Numbers - 2:25
• C11Ex6 - File Editor - 2:41
• C11Ex7 - Test Exception - 3:32
• C11Ex8Ex9 - Circle With Exception - 2:42
• C11Ex10 - Processing Exception Object - 1:46

• Tuples, Sets, and Dictionaries - 33:27
• C12Ex1 - Tuple Demo - 5:17
• C12Ex2 - Set Demo - 5:09
• C12Ex3 - Set List Performance Test - 4:09
• C12Ex4 - Count Keywords - 4:59
• C12Ex5 - Count Occurrence Of Words - 3:09

• Recursion - 13:34
• C13Ex1 - Compute Factorial - 4:12
• C13Ex2 - Compute Fibonacci - 4:03
• C13Ex3 - Recursive Palindrome Using Substring - 2:49
• C13Ex4 - Recursive Selection Sort - 4:36
• C13Ex5 - Recursive Binary Search - 7:11
• C13Ex6 - Directory Size - 4:54
• C13Ex7 - Sierpinski Triangle - 6:27
• C13Ex8 - Eight Queens - 5:53

• 14-osdatetimerandom - 28:03

• GitHub repository to access files