
Discover OpenCV, the open-source computer vision library, and learn real-time image and video processing, face and object detection, text recognition, and applications in photo editing, augmented reality, and medical imaging.
Explore HSV in Python and OpenCV, focusing on hue, saturation, and value as a color model aligned with human vision.
Explore the basic definition of machine learning as the science of teaching computers to learn from past data, train models, and predict future outcomes without human intervention.
Explore natural language processing and its machine learning foundations, including data cleaning, stemming, and stop words, to build intelligent Python applications with translation, speech recognition, and text analysis.
Explore the difference between threads and processes in Python, focusing on memory sharing, context switching, and the three ways to create threads (function, extending the thread class, or without extending).
Install Python from python.org, choose Python 3.x, and set up PyCharm as the IDE to start Python projects, create a project, and add a Python file.
Build a basic automatic license plate recognition system with OpenCV and OCR in Python, covering detection, character extraction, and recognition on still images.
Explore importing core modules for the automatic number plate recognition project, including image processing with OpenCV and numpy, and tesseract OCR, plus image cleanup with clear border and segmentation.
configure tesseract ocr for an automatic number plate recognition system by downloading, installing, and linking its executable to your python code.
Define a Python class for an automatic license plate recognition system, with min_ar, max_ar, and debug parameters, plus a debug helper for visualizing results and preparing plate localization.
Learn automatic number plate recognition by locating license plate candidate contours, applying black hat morphology to reveal dark characters on light backgrounds, and thresholding to isolate plates.
Explore a traditional image processing pipeline for automatic license plate recognition, using thresholding, a light-region mask with bitwise operations, erosion and dilation, and contour analysis to identify license plate candidates.
Improve an automatic number plate recognition pipeline by pruning license plate candidates through bounding box analysis, aspect-ratio checks, and grayscale thresholding to extract the license plate region for OCR.
Define a build function to configure tesseract ocr for a license plate by setting psm to seven, applying an alphanumeric whitelist, and returning the formatted options string for single-line ocr.
Explore building an automatic number plate recognition system in Python by implementing a central find_ocr that converts images to grayscale, locates license plate candidates, and performs OCR with Tesseract.
Create a Python driver script that loads an image, detects a license plate, runs OCR to read it, and displays the NPR result using OpenCV.
Master an automatic number plate recognition workflow in Python using OpenCV: load and resize images, apply OCR with PSM mode, draw bounding boxes, and display results.
Install the videostream module via pip on Windows, Mac, or Linux (or inside PyCharm terminal), then begin coding the zoom clone app.
Import the video stream, socket, threading, and tkinter modules to build a zoom clone GUI with a 300 by 200 window and plan to add screen, camera, and audio widgets.
Build a Tkinter-based graphical user interface with a target IP text field, a label, and four buttons for listening, camera, screen share, and audio stream, preparing for future functionality.
This lecture guides building a zoom-clone by connecting local clients, configuring streaming server port 9999 and audio receiver port 8888, and starting a camera stream on port 7700 with threading.
Two clients communicate over a zoom clone after exchanging local IP addresses, starting a listener, and sharing camera, screen, and audio via a GUI.
Develop a Python GUI typing speed tester by importing decanter (TKM), time, threading, and random, creating a Tkinter window, configuring title and geometry, and updating widgets in a main loop.
Create a Tkinter gui with a frame, a text label and an entry field, and display a speed label for character per second and words per minute, plus reset button.
Build a dynamic typing speed tester in Python with Tkinter, binding the entry field to detect typing, and track time to compute characters and words per second and per minute.
Implement a time thread to update typing speed metrics in real time as the user types, calculating cps, cpm, wps, and wpm every 0.1 seconds, with color feedback.
Learn to implement a reset feature in a Python Tkinter typing speed app, resetting counters, clearing input, and restoring initial labels while showcasing random text prompts from a file.
Create a Tkinter typing speed tester GUI that displays a random sample text, captures user input, updates cps, cpm, and wpm, and includes a reset option.
Install the translate module with pip and import the translator class to enable translation between languages. Build a GUI translator window with Tkinter, using labels, text fields, and buttons.
Create a Python GUI translator with Tkinter by building a window, setting a title and color, configuring geometry, and displaying a labeled title with padding, while running the main loop.
Build a Python tkinter language translator GUI with two language selectors and a default English-to-Spanish translation, using option menus, fonts, and layout.
Build two text boxes and a translate button in a Tkinter gui. Translate text from a selected source language to a selected target language, displaying results in the second box.
Build a Python tkinter language translator: click translate to read input from first field, translate between selected languages via a translator class, and display the result in second field.
Create a Python image converter to switch between JPEG, PNG, and BMP formats. Learn to use the image module, OS, os.path splitext, and shutil to manage file operations and copying.
Install a Python compiler and dependencies, import the required modules, and initialize a resizable GUI window titled image converter with a 480 by 450 minimum size.
Learn to set up a canvas and the first frame in a Python GUI, adding an open file button and a select image label inside a root window.
Create frame two as a container for the selected image file and display its name within a styled file label, positioned inside the root window.
Create frame three as a container for image conversion buttons, adding four buttons to convert to png, jpeg, bmp, and pdf. Connect buttons to conversion functions such as to_png.
Create frame four using decode frame as the container for status messages in the image converter application, and add a status label to display running, success, or error messages.
Create an image file class and implement a browse file function using a file dialog to select an image, then update and reset labels with the file name.
Learn the convert image function in the image converter app, handling file name, extension, rgb mode, and label messages, with error handling for unidentified image, attribute error, and permission error.
Implement log_success and log_error to display file name on a label with a success color, and show error messages 'Please select an image first' or attribute/permission errors in error color.
Code and run a complete image converter GUI in python, enabling conversions to png, jpeg, bmp, and pdf with robust error handling and live status updates.
Explore the instagram downloader section and learn to download a profile picture using instaloader, while using pil for image handling and gui control modules to support the coding workflow.
Install the loader, import required modules, and set up a 400 by 400 Tkinter root window; load instagram.jpg with PIL PhotoImage into a canvas and run the mainloop.
Create a Python GUI for downloading Instagram profile pictures by adding a label, text entry for an Instagram ID, and a download button that fetches the chosen profile image.
Build and test an Instagram downloader in Python by implementing a download function with the install loader, capturing user input, and downloading a profile picture plus related data.
Create a brick breaker style ball display in pygame by loading and scaling images, setting a background and ball position, and drawing a red hitbox rectangle for collision detection.
Create a paddle class displaying a bmp image at 400 by 570, scale to 100 by 25, draw a hitbox rectangle, and prepare for ball-paddle collision and velocity reversal.
Define a Break class to load and scale 80×35 bricks, initialize 21 bricks with nested loops and coordinates, and draw them on screen with pygame.
Create separate win and game over image classes, load and scale images, and draw them on screen based on win or loss conditions in the brick breaker game.
Set the window background to gray, clear each frame, and control the frame rate to update the ball, bat, and bricks through a loop that bounces off walls.
Learn to implement paddle and ball collision, move paddle with left and right keys, reverse ball velocity, and remove bricks when hit in a brick breaker game built with pygame.
Review the brick breaker game code in python, detailing classes for ball, bat, bricks, and game over, with brick list management, collision handling, velocity updates, and a 80 fps loop.
Learn to build a brick breaker game in Python by defining bricks, a ball, and a bat, handling collisions, and updating the game loop for win and game over states.
Explore building a pharmacy management system in Python with a simple UI. Learn to use the messagebox for popups and the OS module as you prepare for the coding tutorial.
Configure a tkinter-based pharmacy management system window, set title and size, create two database files, and outline the ui with labels, entries, and buttons such as add item, bill, clear.
Build a pharmacy management system graphical user interface by creating a title label and labeled entry fields, then prepare grid layout and final button setup.
Learn to build a Python pharmacy management GUI by creating eight buttons with add, delete, view, update, and search item functions, plus a clear screen, and prepare the grid layout.
Develop the pharmacy management system UI in Python by defining labels, entry fields, and buttons with grid layouts, paddings, and row-column positioning.
Add item function for a Python pharmacy management system, detailing how to initialize a global var, read records, and append new items to the database.
Implement the delete item function in the pharmacy management system in Python by opening the database, verifying the entry exists, and removing the item.
Learn to view the zeroth item in a pharmacy management system in Python by using a zero index, file seek, and reading and splitting to extract name, price, quantity, category.
Develop a Python GUI next item function for a pharmacy management system, incrementing the global index and seeking the next record, with end-of-record handling and user feedback.
View previous item in a Python program by reusing next item logic, decrementing the var, and updating the button command, with a no more records notice on the first item.
Learn to view the last item in pharmacy records with a Python function, reading the database, splitting lines, and using a global variable to locate the final record.
Implement the update item function in a Python PMS by mirroring the delete item flow, updating all entries and data in the database project, and renaming directories as needed.
Develop and implement a search item function in a Python pharmacy management system GUI, fetching, matching, and updating records while handling not-found cases.
Implement a clear screen function in a Python pharmacy management system that clears the screen without removing records, completing the item function.
Run a pharmacy management system in Python using a text file database to add, update, delete, and search items with price, quantity, category, and discount.
Python is the most widely used Programming Language in the World. It is the most popular programming language and number 1 choice of every Developer. Python is literally used in making every type of Application. If you know Python, you would not need any other Programming Language to do something else. I have seen thousands of students who have done the Basic part of Python but they have never used their skills and Concepts to make something Professional Looking and of an Advanced Level in Python. Any Programming Language is useless like this. When you go in your Professional Career and Python Jobs , you are assigned to make Cool Looking Professional Applications and this is what this course is for.
In this course, we have assumed that you know the basics of Python or any other Programming Language and that our Job is to teach you how to use Python to make Professional Level GUI Based Applications. It's time to take your skills up to the Level where you can make Cool Looking Real Time Applications.
We are pretty sure that after taking this course in Python, you will then feel that you can now make any type of application using the Python Programming language and that you are now a professional programmer who now knows how to use a language to make something real out of it.
In this Course, if you have any problem you can directly message us or you can ask your question in the Q/A Sections where you will get your Questions Answered as soon as possible. Hope you will have an Awesome Time with this Course.
Stay Awesome!