The Python Mega Course: Learn Python in 50 Days with 20 Apps
What you'll learn
- You will learn Python basics, build GUIs, web apps, APIs, data science, OOP, web scraping, and more.
- You will work on real-world coding exercises throughout the course.
- You will build 11 large Python applications and solve 9 projects.
- You will build a portfolio website to showcase your 20 apps.
- You will learn Git, GitHub, deployment, SQL, HTML, Figma, venv, debugging, and more.
- You will get help from the instructor and the teaching assistant when you get stuck.
- You can chat with fellow students in the course chat forum.
- You will get a certificate of completion to show to potential employers.
- A computer (Windows, Mac, or Linux).
- No prior knowledge of Python is required.
- No previous programming experience needed.
An updated modern course
The course was updated in November 2022, entirely. The new content is a significant improvement to the old course, with a better course structure, more real-world apps, and using the latest version of Python and other recent programming tools. The course assumes you have never programmed before and teaches Python from zero.
This is the only course that follows a multimodal learning approach that offers students both a video course and an environment that simulates real-world programming activities similar to a real bootcamp. Students learn Python by building programs from scratch, adding new features to existing programs, improving existing features, fixing bugs, engaging in code experiments, learning programming tools that every programmer should know, deploying apps in the cloud, and engaging with other fellow students. Your skill set will build up progressively and strongly while you also build your programming portfolio to list and showcase all your Python projects.
A course for absolute beginners
This is the right course for you if you have never programmed before. This course covers every Python concept using real-world examples, so you understand both Python language and the logic behind programming. From the very basics to the very advanced features such as threading, everything is introduced in the context of a real-world app that you will build. That will make abstract programming concepts easy to understand.
Instructor-led projects and independent student projects
You will be building programs every day as your skills grow. Every day you will create programs led by your instructor, followed by projects you will code on your own to bulletproof your skills. Finally, you will be able to compare your code with that given by the instructor at the end of the day to fill in any gaps.
Changing careers or building apps
Whether you want to change your career to a Python programmer or turn an idea into a real app, this course has your back. You can take the entire course to become a programmer or pick the projects that interest you if you only want to build a particular app. You will also learn Git and GitHub so you can create a portfolio of 18 Python apps on your GitHub account to show to potential employers or friends.
From data science to web development
The course covers a wide range of applications, from rich data science web apps that analyze and visualize large amounts of data to building web applications using Python web frameworks such as Streamlit, Flask, and Django. Other aspects of Python, such as automating tedious tasks, are also covered, ranging from generating PDF invoices to automating emails. This course has it all.
Learn on your schedule
The curriculum encourages you to work on the course by studying 2-5 hours every day, but you can also do multiple-day modules during the weekend or whenever it suits you. In addition, you will have unlimited access to all the videos and practice activities. If you take this course seriously, this is better than a 10,000-dollar boot camp.
Keeping yourself focused and motivated with online courses is hard, but not with this course. The course is designed around real-world projects and challenges to keep students interested throughout the entire course. This is a course that you will actually finish.
"This new material is great. I am learning the material much better than in the old format. These features help: repetition of the concept from many approaches helps me learn the concept well; the program development approach in teaching the codes (functions, variable assignments) makes learning more natural and therefore more efficient; the quizzes and coding exercises are well thought out, they reinforce the lessons. Congratulations! I am glad I remained with your course. By the way, I finished an earlier course of yours and got my first certificate in Python. But this course is way way more effective."
"I'm giving this course five stars today because the November 2022 update, well complete overhaul, is massive and really brings the course to a new level. I completed about 70% of the old course, so I can say, the new update is great.
The self-study tasks are a nice addition and the projects are like what we'd be doing in the wild. So, we learn a bit and then do it ourselves (no peeking), which takes the course beyond a series of code-alongs.
It's nice to have GIT integration now, which is something I've never gone into that much.
The course is angled towards CLI and web apps, along with some data analysis, so don't expect a course on neural networks and machine learning, even though there is a section about computer vision and motion tracking."
Who this course is for:
- Those with no prior knowledge of Python.
- Those who know Python basics and want to master Python
Hi, I am Ardit! I am a Python programmer, teacher, and founder of PythonHow. I graduated in 2013 with a Master of Science in Geospatial Technologies from the University of Muenster in Germany with a focus on using Python for remote sensing.
I have worked with companies from various countries, such as the Center for Conservation Geography, to map and understand Australian ecosystems, image processing with the Swiss in-Terra, and performing data mining to gain business insights with the Australian Rapid Intelligence.
If you want to learn Python through my courses, I propose the following learning path: Start with The Python Mega Course 2022: Build 10 Real-World Applications. Students love that course as a comprehensive real-world guide to Python and building programs with Python. After finishing that course, take my Automate Everything with Python course if you want to use Python to make small-to-medium programs. That course contains everything you need to start using Python as your swiss army knife. On the other hand, if you are interested in making large applications, my advanced course Advanced Python: Python OOP with 10 Real-World Programs would be a better choice. All the courses are listed here on my Udemy profile page.