The Python Mega Course: Learn Python in 60 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 build 20 large Python applications and solve 10 projects.
- You will work on real-world coding exercises throughout the course.
- 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.
Requirements
- A computer (Windows, Mac, or Linux).
- No prior knowledge of Python is required.
- No previous programming experience needed.
Description
Updated to Python 3.11.
A Course to Learn Both the Theory and Real-World Skills
This is the only course you need to learn both the theoretical and practical aspects of Python. It is ideal for people who do not have a programming background. By the end of the course, you will have a portfolio of Python apps on your GitHub account. You will learn Python by building 20 apps together with the instructor and solve 10 independent Python projects. This will help you code independently and apply for a junior developer job after finishing the course.
Multimodal Learning
The course follows a proven multimodal learning approach that offers students a video course and an environment that simulates real-world programming activities similar to an on-site 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 interacting with other fellow students. Your skill set will progressively and strongly build up as you build your programming portfolio to list and showcase all your Python projects.
A Course for Absolute Beginners
This course is perfect for those who have never programmed before. It covers every Python concept using real-world examples, making it easy to understand both the Python language and the logic behind programming. From the basics to the advanced features like threading, everything is introduced in the context of a real-world application that you will build. This approach will make abstract programming concepts easy to grasp.
Instructor-Led and Independent Student Projects
In this course, you will build programs daily to develop your skills. Each day, you will work on projects led by your instructor and then work on projects independently to solidify your skills. At the end of the day, you can compare your code with the instructor's code to identify and address any gaps in your understanding.
Career Change or App Development
If you're considering a career change to become a Python programmer or looking to turn your idea into a real app, this course is perfect for you. You can take the full course to become a programmer or pick specific projects that interest you if you only want to build a particular app. Additionally, you will learn Git and GitHub so that you can create a portfolio of 20 Python apps on your GitHub account, which you can show to potential employers or share with friends.
From Data Science to Web Development
This course covers a wide range of applications, from creating 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. It also covers other aspects of Python, such as automating tedious tasks, ranging from generating PDF invoices to automating emails. In short, this course offers a comprehensive approach to Python, covering various domains, making it an all-in-one solution.
Flexible Learning Schedule
This curriculum is designed to accommodate your schedule. While it is recommended that you study 2-5 hours every day, you can also work through multiple-day modules during the weekend or whenever it is convenient for you. You will also have unlimited access to all the videos and practice activities. By committing to this course, you will be able to achieve better results than a 10,000-dollar boot camp.
Boosted Focus
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.
Student Testimonies
Irene, March, 2023 - "If you don’t know where to start I suggest you start here.
The course provides a hands-on approach to learning and applying the basics from the start. A large number of libraries and tools are introduced in an organised way. The teacher is knowledgeable and engaging.
Python offers so many possibilities, but Ardit has managed to pull a good selection together that allows you to gain an insight into what you can do.
I enjoyed the broad spectrum of the many topics: Streamlit webapps, basic data plotting, graphical user interfaces, create pdfs, data analysis with pandas, web scraping, Jupyter, API keys, sql and more. Always using them, building something, not just theory.
And you don’t just learn the syntax, you learn how to set up your working environment, how to approach and plan an application, how to troubleshoot and debug, how to improve your code, where and how to find answers to solve problems.
The only thing that frustrated me somewhat, was that the concept and implementation of Object Orientated Programming could possibly have been introduced earlier in the course. Understanding just the very basics greatly improves your overall insight, which in turn, aides your learning.
Although I would not say that finishing this course makes for job-ready developer, I do feel it gives you a solid foundation and it prepares you well for a deeper dive into your chosen, or even newly discovered, field of interest.
All in all, it shows that a great deal of effort has been put in the creation of this course. It is currently even further expanded and I’m looking forward to even more content. A big thank you to Ardit for putting together such a great course."
Gerald M, April 2023 - "This is the best python course I have come accross. I purposely waited until I finished the course to write this review. For those reading this review here are some hints:
Course is set for 60 "days". I would say each day takes 3-4 hours. Entire course took me about 2 months. Course starts with Python basics and then you build several apps which highlight the major uses of Python, including command line apps, GUI apps, web applications, and databases. I would suggest you print out the code and keep as a reference for yor future projects. Also, follow along by trying all the code yourself and the student projects so you relly learn. Looking forward to another course with Ardit!"
Who this course is for:
- Those with no prior knowledge of Python.
- Those who know Python basics and want to master Python
Featured review
Instructor
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.