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Python Mega Course: Master Python in 60 Days, Create 20 Applications

Learn Python in 60 Days, Build 20 Apps to Become a Python Developer or Master Specific Areas of Python with Project-Based Learning.”

Created by- Ardit Sulce

What you’ll learn in python in 60 days:

  • Master Python and develop proficiency in building 20 real-world applications.
  • Apply Python in data science and machine learning, including creating a movie recommendation system.
  • Develop dynamic web applications using Flask and Django frameworks.
  • Gain expertise in working with SQL databases and GUI development using Python.
  • Acquire the skills to harness the power of APIs and create robust applications.
  • Explore web scraping techniques and automate data extraction tasks.
  • Understand the principles of object-oriented programming and design.
  • Acquire skills in data analysis and visualization using Python.
  • Build and distribute your own Python packages.
  • Learn to use essential development tools like Git, GitHub, IDEs, HTML, CSS, Bootstrap, Figma, virtual environments, debugging, and more.
  • Engage in discussions and connect with fellow students through the course chat forum.
python in 60 days

Course Content

  • MODULE 1: PYTHON BASICS (Day 1 – 20)
    • Day 1-20: Build a To-do App with Python, covering variables, lists, print statements, methods, while-loops, match-case, for-loops, list indexing, tuples, enumeration, f-strings, working with text files, list comprehension, comments, with-context manager, if-elif-else statements, dictionaries, robust code with try-except, using custom functions, multiple arguments, utilizing default arguments, working with local modules, standard modules, and Git, third-party modules and GitHub, building the app’s desktop GUI, exploring various GUI styles, and building a web app version.
    • Day 20: Summary of Python Basics.
    • Day 21-23: Build a Project Showcase Website with Python in three parts.
    • Day 24: Generate PDF Documents with Python.
    • Day 25-26: Generate PDF Invoices from Excel Documents in two parts.
    • Day 27-28: Build a Daily News Digest with Python in two parts.
    • Day 29-31: Build a Historical Weather Data API with Python in three parts.
    • Day 32-33: Build a Weather Forecast Dashboard with Python in two parts.
    • Day 34-35: Natural Language Processing of Books with Python in two parts.
    • Day 36-37: Build a Webcam Monitoring Email Alert App with Python in two parts.
  • MODULE 5: WEB SCRAPING (Day 38 – 39)
    • Day 38-39: Build a Music Event Web Scraper with Python in two parts.
    • Day 40: Object Oriented Programming (OOP) in Python.
    • Day 41-43: Build a Hotel Booking App with Python in OOP Style in three parts.
    • Day 44: Learn Code Inspection using the Mario Game App.
    • Day 45-47: Build an SQLite Student Management System with PyQt in three parts.
    • Day 48: Build a MySQL Student Management System with PyQt.
    • Day 49: Build an Intelligent ChatBot with ChatGPT and PyQt.
    • Day 50-51: Build a Job Application Web App with Flask in two parts.
    • Day 52-54: Build a Job Application Web App with Django in three parts.
    • Day 55-57: Build a Restaurant Web App with Django in three parts.
    • Day 58-59: Build a Movie Recommendation System with Python in two parts.
    • Day 60: Build and Publish a Python Package.
  • Congratulations!


  • The course is suitable for computers running Windows, Mac, or Linux operating systems.
  • It is not necessary to have any prior knowledge of Python before taking the course.
  • No prior programming knowledge or experience is required to enroll in the course.


Immerse yourself in the ultimate Python learning experience with the Python Mega Course. This carefully designed program aims to transform you from a complete beginner into a proficient Python programmer within a span of 60 days. Whether you have no prior knowledge or wish to enhance your programming skills, this comprehensive course will equip you with the necessary tools to master Python and construct practical applications. Get ready to embark on an exciting journey of learning and skill development.

Benefits of the Course:

  1. Comprehensive Learning: Acquire a deep understanding of Python programming through a course that covers both theoretical foundations and practical applications. From fundamental syntax to advanced topics like web development, data analysis, and machine learning, this course provides a comprehensive learning experience.
  2. Hands-on Experience: Dive into coding right from the start and build real-world applications alongside the instructor. By actively engaging in projects, you’ll strengthen your skills, experiment with different techniques, and develop the confidence to code independently.
  3. Portfolio Building: Construct an impressive portfolio of 20 Python applications hosted on your GitHub account as you progress through the course. This portfolio serves as tangible proof of your programming abilities, showcasing your skills to potential employers or clients.
  4. Multimodal Learning Approach: Benefit from a proven multimodal learning approach that ensures a thorough understanding of Python concepts. Engage with video lectures, hands-on exercises, code reviews, quizzes, and independent projects, catering to different learning styles and enhancing retention of knowledge.
  5. Career Preparation: Prepare yourself for a successful career transition or advancement. Gain the skills necessary to confidently apply for junior developer positions. Learn essential tools like Git and GitHub, which are vital for collaborating with other developers and presenting your work to potential employers.
  6. Flexibility and Lifetime Access: Fit the course seamlessly into your schedule and study at your own pace. Whether you dedicate a few hours each day or work on modules during weekends, you have the flexibility to accommodate your commitments. Additionally, enjoy lifetime access to all course materials, allowing you to revisit and reinforce your learning whenever needed.

Course Outline:

  1. Python Fundamentals: Develop a strong foundation in Python programming by mastering essential concepts such as variables, data types, conditionals, loops, functions, and more.
  2. Intermediate Python: Elevate your Python skills to an intermediate level by delving into topics like file handling, error handling, decorators, generators, and context managers.
  3. Web Development: Explore the world of web development using Python frameworks like Flask and Django. Learn to create interactive web applications that process data, handle user input, and provide personalized experiences.
  4. Data Analysis and Visualization: Discover the capabilities of Python for data analysis and visualization. Gain hands-on experience in data science techniques, data manipulation with libraries like Pandas, and creating visually appealing data visualizations using Matplotlib and Seaborn.
  5. Data Science and Machine Learning: Apply Python for data science and machine learning tasks. Build a movie recommendation system that leverages user preferences to suggest personalized movie choices.
  6. APIs: Unleash the power of APIs by learning to utilize existing APIs for accessing external data and services. Additionally, develop your own APIs to create scalable applications that seamlessly communicate with other systems.
  7. Object-Oriented Programming: Deepen your understanding of object-oriented programming principles and learn to design and implement software solutions using classes, objects, and inheritance.
  8. Building Python Packages: Master the art of packaging and distributing Python code. Discover best practices for creating reusable modules, managing dependencies, and making your packages easily installable by others.
  9. SQL Databases and GUIs: Learn to work with SQL databases using Python, execute queries, retrieve data, and interact with databases. Furthermore, explore graphical user interface (GUI) development for creating intuitive and user-friendly applications.
  10. Web Development with Flask and Django: Dive into web development using Flask and Django, two popular Python frameworks.

Are you prepared to unleash the limitless possibilities of Python and become a skilled programmer? Enroll in The Python Mega Course now and join the thriving community of students who have already transformed their lives through Python. Seize this opportunity to learn from an experienced instructor, construct a remarkable portfolio, and elevate your programming abilities. Embark on your Python journey today and embrace a future brimming with boundless opportunities!

You can also check other courses as well: Python : 50+ Real world projects for Practical Mastery

This course is suitable for:

  • Individuals without any prior knowledge of Python.
  • Individuals with basic knowledge of Python who aim to achieve mastery in the language.

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Frequently Asked Questions (FAQs)

Q: What are the benefits of taking this course?

A: The course offers comprehensive learning, hands-on experience through project-based learning, portfolio building with 20 real-world applications, a multimodal learning approach combining various teaching methods, career preparation for junior developer positions, flexibility in study schedule, and lifetime access to course materials for future reference and reinforcement of learning.

Q: What is the course outline?

A: The course covers Python fundamentals, intermediate Python, web development with Flask and Django, data analysis and visualization, data science and machine learning, API utilization and development, object-oriented programming, building Python packages, SQL databases and GUIs, and web scraping.

Q: Who created the “Learn Python in 60 Days, Build 20 Apps” course?

A: The course was created by Ardit Sulce.

Q: What will you learn in the course?

A: In this course, you will master Python programming and develop proficiency in building 20 real-world applications. You will also learn to apply Python in data science and machine learning, develop dynamic web applications using Flask and Django frameworks, work with SQL databases and GUI development using Python, utilize APIs to create robust applications, explore web scraping techniques, understand object-oriented programming principles, perform data analysis and visualization using Python, build and distribute Python packages, and learn essential development tools like Git, GitHub, IDEs, HTML, CSS, Bootstrap, Figma, virtual environments, debugging, and more.

Q: What are the requirements for enrolling in the course?

A: The course is suitable for computers running Windows, Mac, or Linux operating systems. It does not require any prior knowledge of Python or programming. It is open to beginners as well as individuals with basic knowledge of Python who aim to achieve mastery in the language.

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