Python Mega Course: Learn Python in 60 Days, Build 20 Apps
What you'll learn
- Learn Python from beginner to advanced through real-world examples to transform your career
- Learn to build industry-ready Python applications from scratch and deploy them for real users
- Learn practical programming skills, tricks, and tools required by companies and which universities don't teach
- Learn all major Python topics from machine learning and data science to web development
- Learn OOP, APIs, SQL, Git, GUIs, Flask, Django, Bootstrap, ML, AI, and more
- Build Python web apps, a movie recommendation system, data visualization dashboards, desktop GUIs, and more.
- A laptop or a desktop computer (Windows, Mac, or Linux)
Whether you're starting from scratch or looking to enhance your programming skills, this comprehensive course will take you from a beginner to a confident Python programmer in just 60 days. You can consume the content in the recommended timeframe of 60 days or less than that. It is up to you.
Below you can find the 20 applications you will build in the course. You can do all applications if you want to master Python completely or do only the ones you are interested in to focus on specific areas of Python.
1. To-do app (both as a desktop GUI and as a web app) covering all Python basics
2. Project showcase website built in Python to publish your Python projects
3. Task automation: Generating PDF receipts with Python
4. Extracting Excel data and creating reports
5. Automated Daily News Digest Emails with Python
6. Build an API serving historical weather data
7. Weather forecast data dashboard
8. Natural Language Processing of eBooks
9. Webcam monitoring email alert app
10. Web scraping of websites
11. Hotel booking app using Python Object-Oriented Programming (OOP)
12. Understanding programs coded by others: Inspecting the Mario game codebase
13. Student Management System Desktop GUI app with SQLite and PyQt
14. Student Management System Desktop GUI app with MySQL and PyQt
15. Intelligent chatbot with ChatGPT and PyQt
16. Job application web app with Flask
17. Job application web app with Django
18. Restaurant kitchen web app
19. Movie recommendation system
20. Build and publish a third-party Python package
The 20 applications have been carefully selected to cover all major Python areas including Python basics, task automation, data analysis and visualization, APIs, SQL databases, object oriented programming, desktop GUIs, web development, data science and machine learning, and even developing third-party packages with Python.
More Course Benefits
Comprehensive Learning: This course covers both the theoretical foundations and practical aspects of Python programming. You'll gain a deep understanding of Python concepts and apply them immediately to build 20 practical applications. From basic syntax to advanced topics like web development, data analysis, and machine learning, this course covers it all.
Hands-on Experience: Learning by doing is the core principle of this course. You'll dive right into coding from day one, building real-world applications alongside the instructor. With each project, you'll strengthen your skills, experiment with different techniques, and develop the confidence to code independently.
Portfolio Building: As you progress through the course, you'll create an impressive portfolio of 20 Python applications hosted on your GitHub account. This portfolio will serve as tangible evidence of your programming skills, showcasing your abilities to potential employers or clients.
Multimodal Learning Approach: Our proven multimodal learning approach ensures that you grasp Python concepts thoroughly. You'll benefit from video lectures, hands-on exercises, code reviews, quizzes, and independent projects. This comprehensive approach caters to different learning styles and ensures you truly understand and retain what you learn.
Career Preparation: Whether you're seeking a career change or aiming to level up in your current role, this course prepares you for success. You'll develop the skills needed to apply for junior developer positions confidently. Additionally, you'll learn important tools like Git and GitHub, essential for collaborating with other developers and showcasing your work to potential employers.
Flexibility and Lifetime Access: We understand that everyone has different schedules and commitments. That's why this course is designed to fit seamlessly into your routine. Study at your own pace, whether it's dedicating a few hours every day or working through modules during weekends. Plus, you'll have lifetime access to all course materials, ensuring you can revisit and reinforce your learning whenever you need to.
Are you ready to unlock the full potential of Python and become a proficient programmer? Enroll today and join thousands of students who have already transformed their lives with Python.
Who this course is for:
- Absolute beginners and beginners who know some Python already
Ardit is an accomplished Python programmer, educator, and the founder of PythonHow, here on Udemy. He graduated in 2013 with a Master of Science in Geospatial Technologies from the University of Muenster, Germany, where he honed his skills in Python, especially for applications in remote sensing and data science.
Ardit's professional career in Python programming is highlighted by his collaborations with various international entities. His notable projects include working with the Center for Conservation Geography to map and analyze Australian ecosystems, engaging in image processing projects with the Swiss company in-Terra, and applying Python data mining techniques with Rapid Intelligence, the Australian data science company that helps businesses make decisions using data.
For learners aspiring to master Python, Ardit has meticulously crafted a series of courses available on Udemy. Beginners are encouraged to start with the "Python Mega Course: Learn Python in 60 Days, Build 20 Apps," a course highly regarded by students for its comprehensive and real-world approach to Python. Following this, "Automate Everything with Python" is recommended for those looking to use Python for small-to-medium scale projects. Lastly, for those focused on developing large applications, "Intermediate to Advanced Python with 10 OOP Projects" provides a deep dive into the advanced aspects of Python. All these courses are available on Ardit's Udemy profile, offering a well-rounded and practical path to Python proficiency.