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Free Download Python Programming - Beyond Basics to Applications
Published 10/2025
Created by Prof Madana Mohana R
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 26 Lectures ( 11h 6m ) | Size: 4.83 GB
Level Up Your Python Skills with GUI, Web, and Database, and Data Science using Tkinter, SQLite, NumPy & Matplotlib
What you'll learn
Create, import, and manage modules and packages to structure large-scale Python applications effectively.
Build user-friendly graphical interfaces using Tkinter, handling widgets, layouts, and event-driven programming concepts.
Explore Python for Web Development
Perform Database Operations with Python
Gain Hands-on Experience with Data Science Libraries
Bridge Python Programming with Data Science Foundations
Requirements
Basic Computer Knowledge
Basic Programming Concepts (Optional but Helpful)
Python Installation
Willingness to Learn
Internet Access
Mathematical Foundation (For Data Science Modules)
Description
Python Programming - Beyond Basics to Applications (Advanced Level)Are you ready to elevate your Python skills beyond the basics and apply them to real-world projects?This advanced-level course is designed as a continuation of "Python Programming - For Every Beginners", helping you transition from learning syntax to building functional, data-driven, and interactive applications.Whether you're a student, educator, or working professional, this course will empower you to master Python's advanced capabilities and use them in domains like GUI development, web programming, databases, and data science.What You'll Learn:1. Modules and PackagesOrganize and structure Python code efficiently using custom modules and packages.Understand Python's import system and namespace management.2. GUI ProgrammingCreate graphical user interfaces using Tkinter.Design windows, buttons, labels, text boxes, and handle user interactions.3. Web ProgrammingUnderstand socket programming and how web servers communicate.Use browser developer tools to inspect HTTP requests and responses.Retrieve, read, and parse web pages using Python for web scraping and automation.4. Database ProgrammingLearn SQLite database integration in Python.Perform CRUD (Create, Read, Update, Delete) operations through Python scripts.Build database-connected Python applications.5. Python for Data Science & Machine LearningGet introduced to Python's open-source data libraries.Perform array operations with NumPy and visualize data using Matplotlib.Learn about plotting styles, labeling, axis management, and color mapping.Who This Course is For:Learners who have completed "Python Programming - For Every Beginners."Students and professionals who want to advance from basic to applied Python programming.Developers aiming to build real-world GUI, web, and database applications.Data enthusiasts who want a smooth introduction to Data Science tools using Python.Why This Course?Progressive Learning Path: Designed as a natural next step after the beginner course.Practical, Hands-on Approach: Each module includes coding demonstrations and real-world examples.Application-Oriented Learning: Focuses on using Python to build functional and interactive solutions.Foundation for AI/ML: Sets the stage for further learning in data science and machine learning.By the End of This Course, You Will

Who this course is for
Aspiring Programmers
Students and Academics
Professionals Looking to Upskill
Data Science and Machine Learning Enthusiasts
Web Developers and GUI Designers
Hobbyists and Enthusiasts
Researchers and Analysts
Homepage
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Code:
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