Python Programming - Beyond Basics to Applications

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 acontinuation of “Python Programming - For Every Beginners”, helping you transition from learning syntax tobuilding 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 likeGUI development, web programming, databases, and data science.

What You’ll Learn:

1.Modules and Packages

Organize and structure Python code efficiently using custom modules and packages.

Understand Python’s import system and namespace management.

2.GUI Programming

Create graphical user interfaces usingTkinter.

Design windows, buttons, labels, text boxes, and handle user interactions.

3.Web Programming

Understandsocket programmingand how web servers communicate.

Use browser developer tools to inspectHTTP requests and responses.

Retrieve, read, and parse web pages using Python for web scraping and automation.

4.Database Programming

LearnSQLite database integrationin Python.

PerformCRUD (Create, Read, Update, Delete)operations through Python scripts.

Build database-connected Python applications.

5.Python for Data Science & Machine Learning

Get introduced to Python’s open-source data libraries.

Perform array operations withNumPyand visualize data usingMatplotlib.

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 buildreal-world GUI, web, and database applications.

Data enthusiasts who want asmooth introduction to Data Science toolsusing 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:

Develop modular, maintainable, and scalable Python programs.

Buildinteractive GUI applicationsusing Tkinter.

Retrieve, process, and analyze web data.

Design and manage databases using SQLite.

Visualize and interpret data usingNumPyandMatplotlib.

Be confident in applying Python acrosssoftware, web, and data sciencedomains.

Prerequisites:

Basic understanding of Python syntax and core concepts (from“Python Programming - For Every Beginners”or equivalent experience).

A computer, curiosity, and enthusiasm to explore advanced Python.

Start Your Next Python Journey Today!

Take your programming skills to the next level -Build, connect, visualize, and apply Python like a professional developer.

Enroll now and transform from a Python learner into a Python creator!

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
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