Master Python This comprehensive Python course is designed for beginners aiming to learn the Python programming language from scratch.
It is divided into two main parts: Python Basics and Python Projects, spanning a total of 44 sections.
Requirements:
- No coding or technical knowledge required.
- A computer with internet connection.
- No paid tools required; all tools used are free.
- Passion and curiosity to learn something new.
What You Get: Master Python in 2024
Word-By-Word Explanation: Detailed explanations for every line of code throughout the course.
High Quality Content: Over 65+ hours of HD (1080p) video content.
Well Structured & Easy To Learn: Designed for ease of learning with a focus on practical skills in Python, Django, Data Analysis, PyQt6, Flask, Tkinter, OpenCV, File Compression, and Desktop App development with PostgreSQL & Web Scraping.
24 X 7 Support: Continuous guidance throughout your learning journey.
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Course Content Overview
The course covers a wide range of topics and projects structured into 17 major sections:
| Section | Topics Covered |
|---|---|
| Section 1-14: Python Basics | Basics of Python, including variables, loops, functions, OOP, and file handling. |
| Section 15: Make GUI In Python Using Tkinter | Creating desktop applications with Tkinter, building a calculator app. |
| Section 16: Making Database Oriented Desktop Apps | Using PostgreSQL with Tkinter to build a student management system. |
| Section 17: File Compression & Encoding In Python | Implementing file compression tools with Tkinter. |
| Section 18: Text To Speech Converter Using Python | Converting text to speech and creating audio files. |
| Section 19: QR Code Generator | Generating QR codes from URLs using Python and Tkinter. |
| Section 20: Video Downloader App | Building a tool to download and convert videos to mp3 format. |
| Section 21: Building A Credit Card Validator | Implementing Luhn’s algorithm for credit card validation. |
| Section 22: PyQT6 | Learning PyQt6 for building advanced desktop applications. |
| Section 23: Data Analysis | Using Pandas for data manipulation and Matplotlib for data visualization. |
| Section 24: Python Web Framework Django 3 | Developing full-stack web applications with Django. |
| Section 25: Python Web Framework Flask | Building simpler web applications using Flask. |
| Section 26: REST APIs Using Django Rest Framework | Creating REST APIs with Django Rest Framework. |
| Section 27: Web Scraping in Python | Building a web crawler to gather data from websites. |
| Section 28: Automation with Python & Selenium | Automating tasks and creating a Facebook Bot using Selenium. |
| Section 29: Best Practices: Writing Clean Python Code | Best practices for writing efficient and readable Python code. |
| Section 30: Network Programming In Python Using Sockets | Building a chat application with Python sockets. |
| Section 31: Image Processing With Python & OpenCV | Manipulating images and videos using OpenCV in Python. |
Course Benefits
This course not only covers fundamental Python concepts but also dives deep into practical applications across various domains. From desktop applications to web development, automation, data analysis, and image processing, each section is designed to equip learners with hands-on experience and essential skills sought after in the industry.
Conclusion
By enrolling in this course, beginners can embark on a structured learning journey that not only teaches Python programming but also prepares them to build real-world projects and pursue a career as a Python developer.
