Python Mega Course: Learn Python in 60 Days, Build 20 Apps from Udemy

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.

What's inside

Learning objectives

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.

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.

Syllabus

MODULE 1️⃣: PYTHON BASICS (Day 1 - 20) ↓

Welcome to Module 1

#print #variables #functions #lists

Your PDF Cheat Sheet

▶️ The Four Types of Computer Programs

▶️ Today's Goals #print #variables #functions #lists

Python and PyCharm Download Links

Installing Python and PyCharm

Additional Projects

▶️ Create and Run Your First Python Program #print #strings

▶️ Getting User Input #input #variables

▶️ Storing User Input #lists

⚛️ Coding Experiments

⭐️ Bonus Example

☑️ Quiz of the Day

Coding Exercise 1

Coding Exercise 2

Coding Exercise 3

❗️Good to Know #fixing-bugs

✔️ Bug-Fixing Exercises

⚙️ Programming Tool/Concept of the Day: The Python Console

❓ FAQ

◼️ Cheat Sheet

❗️Congratulations!

#while-loop #methods

⬅️ Recap of Yesterday

▶️ Getting User Input Repeatedly #while-loop

❗️ Good to Know #pycharm-theme

▶️ Storing User Input Repeatedly #methods

⚛️ Coding Experiments

⭐️ Bonus Example

Coding Exercise 4

⚙️ Programming Tool/Concept of the Day: How to Find the Code You Need

#match-case #for-loops

▶️ Todo List View and Program Exit #match-case

▶️ Improving the Program Output #for-loops

❗️Good to Know #discord

⚛️ Code Experiments

⚙️ Programming Tool/Concept of the Day: What Surprisingly is Python

❓FAQ

#type-conversion #list-indices #tuples

▶️ Add an "Edit" Feature #type-conversion #list-indexing

⭐️ Bonus Example #tuples

☑️ Quiz of the Day

Coding Exercise 5

Coding Exercise 6

Coding Exercise 7

⚙️ Programming Tool/Concep of the Day: Text Editors, Code Editors, IDE, PyCharm

#enumerate #f-strings

▶️ Numbered Todos #enumerate

▶️ Improving the Program Output ▶️ #f-strings #formatting-strings

▶️ Add a "Complete Todo" Feature

❗️Good to Know #Q&A

⚛️ Code Experiments

⚙️ Programming Tool/Concept of the Day: How to Ask Good Programming Questions

#text-files #text-files #file-paths

▶️ Storing Items in Text Files #text-files #read #write #writelines #readlines

▶️ Getting Todo Items from Text Files #read-text-files

▶️ How Data Types are Created #types

☑️ Quiz

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers a wide range of Python concepts, making it suitable for both beginners and experienced Python developers

Provides hands-on experience through the development of 20 practical applications

Emphasis on building a portfolio of Python applications, which can be valuable for career growth

Includes advanced topics such as web development, data science, and machine learning, providing a comprehensive foundation for Python programming

Multimodal learning approach with video lectures, exercises, and projects, catering to different learning styles

Lifetime access to course materials, allowing learners to revisit and reinforce their learning whenever needed

Instructor lacks recognition for work in Python programming

Does not explicitly require prerequisites, but learners may benefit from prior programming experience

Reviews summary

Solid python deep dive

Learners say this practical course is a great choice for intermediate Python developers looking to build useful applications.

Course provides plenty of hands-on exercises building apps.

"Great course."

"It is perfect for people who have already consolidate the basics and all the features, types, statements and all the Python universe, and they want to do some useful and interesting practise, which is this course."

Course does not cover Python basics in-depth.

"However, this course contains a introduction part about the fundamentals of Python, but obviously and for the sake of the length of the course, it is very basic and limited, just for refresh some concepts."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python Mega Course: Learn Python in 60 Days, Build 20 Apps with these activities:

Review the basics of Python

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Refreshing your knowledge of Python basics can help you prepare for the course and fill any gaps in your understanding.

Browse courses on Python

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Review your notes from previous Python courses or tutorials
Complete some online Python tutorials or exercises
Take a practice quiz to assess your understanding

Participate in a study group for Python beginners

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Participating in a study group can provide you with a supportive environment to learn and ask questions.

Browse courses on Python

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Find a study group or create your own
Set regular meeting times
Prepare for each meeting
Attend the meetings and participate actively

Compile a list of useful Python resources

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Having a curated list of useful resources can help you quickly find the information you need when working on Python projects or assignments.

Browse courses on Python

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Search for Python resources online
Evaluate the resources and select the most useful ones
Organize the resources into a list or document

Six other activities

Expand to see all activities and additional details

Show all nine activities

Find a mentor who can provide guidance on Python programming

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Having a mentor can provide you with personalized guidance and support throughout your Python learning journey.

Browse courses on Python

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Identify your learning goals
Search for potential mentors online or through professional networks
Contact potential mentors and introduce yourself
Meet with your mentor regularly to discuss your progress and get feedback

Follow a tutorial on building a desktop GUI

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Building a desktop GUI can help you understand the concepts of event-driven programming and UI design.

Browse courses on Python

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Find a suitable tutorial
Follow the tutorial step-by-step
Experiment with the code

Attend a workshop on Python for data science

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Attending a workshop can help you learn new Python techniques and tools for data science.

Browse courses on Python

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Find a suitable workshop
Register for the workshop
Attend the workshop and take notes
Apply what you learned in your own projects

Solve Python coding challenges

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Solving coding challenges can help you improve your Python skills and problem-solving abilities.

Browse courses on Python

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Find a coding challenge website or platform
Select a challenge that matches your skill level
Attempt to solve the challenge
Review your solution and learn from your mistakes

Create a sample web application

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Applying concepts with a small web application to get a better grasp of the concepts.

Browse courses on Web Development

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Plan the application
Set up the development environment
Implement the application's functionality
Deploy the application

Build a simple data visualization dashboard

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Creating a data visualization dashboard can help you gain practical experience with data analysis and visualization techniques.

Browse courses on Data Visualization

Show steps

Gather the necessary data
Choose a data visualization library
Design the dashboard
Implement the dashboard
Deploy the dashboard

Career center

Learners who complete Python Mega Course: Learn Python in 60 Days, Build 20 Apps will develop knowledge and skills that may be useful to these careers:

Web Developer

Python is an essential language for web development, and this course provides a comprehensive understanding of the language, from beginner to advanced. The course covers the latest technologies and trends in web development, including Flask and Django, and provides hands-on experience in building real-world web applications. As a Python-based web developer, you would be responsible for designing and developing websites and web applications, ensuring they are user-friendly, efficient, and secure. This course provides the skills and knowledge to excel in this field.

See salaries and explore the career path for Web Developer

Data Analyst

This course covers data analysis and visualization, providing a solid foundation for a career in data analytics. As a data analyst, you would be responsible for collecting, cleaning, and analyzing data to identify trends and insights, and this course provides the skills to perform these tasks effectively. With the rise of big data, the demand for skilled data analysts is growing, and this course provides the knowledge and experience to succeed in this field.

See salaries and explore the career path for Data Analyst

Machine Learning Engineer

This course introduces machine learning and artificial intelligence concepts, providing a foundation for a career as a machine learning engineer. Machine learning engineers are responsible for developing and deploying machine learning models to solve real-world problems, and this course provides the knowledge and skills to excel in this field. The course covers the latest machine learning techniques and algorithms, and provides hands-on experience in building machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

This course provides a comprehensive overview of Python programming, covering both beginner and advanced concepts. As a software engineer, you would be responsible for designing, developing, and maintaining software applications, and this course provides the skills and knowledge to excel in this field.

See salaries and explore the career path for Software Engineer

Data Scientist

This course covers data science concepts, including data analysis, machine learning, and artificial intelligence, providing a foundation for a career in data science. As a data scientist, you would be responsible for developing and deploying data-driven solutions to solve real-world problems, and this course provides the knowledge and skills to succeed in this field. The course covers data mining, machine learning models and algorithms and artificial intelligence techniques.

See salaries and explore the career path for Data Scientist

Full-Stack Developer

This course covers both front-end and back-end development, providing a comprehensive foundation for a career as a full stack developer. As a full stack developer, you would be responsible for designing, developing, and maintaining both the client-side and server-side of web applications, and this course provides the skills and knowledge to excel in this field. The course covers HTML, CSS, JavaScript, Python, Flask, and Django.

See salaries and explore the career path for Full-Stack Developer

UX Designer

This course covers user experience (UX) design principles and techniques, providing a foundation for a career in UX design. As a UX designer, you would be responsible for designing and evaluating user interfaces to ensure they are user-friendly, efficient, and visually appealing. While this course does not directly focus on UX design, it provides a solid foundation in Python and web development, which are essential skills for UX designers.

See salaries and explore the career path for UX Designer

Product Manager

This course covers product management concepts and best practices, providing a foundation for a career as a product manager. As a product manager, you would be responsible for defining, developing, and launching new products, and this course provides the skills and knowledge to excel in this field. The course covers topics such as product planning, market research, and user experience.

See salaries and explore the career path for Product Manager

Data Engineer

This course covers data engineering concepts and techniques, providing a foundation for a career as a data engineer. As a data engineer, you would be responsible for designing, building, and maintaining data pipelines and infrastructure, and this course provides the skills and knowledge to excel in this field. The course covers topics such as data modeling, data integration, and data warehousing.

See salaries and explore the career path for Data Engineer

Business Analyst

This course covers business analysis concepts and techniques, providing a foundation for a career as a business analyst. As a business analyst, you would be responsible for analyzing business processes and recommending improvements, and this course provides the skills and knowledge to excel in this field. The course covers topics such as business process modeling, data analysis, and stakeholder management.

See salaries and explore the career path for Business Analyst

DevOps Engineer

This course covers DevOps concepts and best practices, providing a foundation for a career as a DevOps engineer. As a DevOps engineer, you would be responsible for bridging the gap between development and operations teams to ensure smooth and efficient software delivery, and this course provides the skills and knowledge to excel in this field. The course covers topics such as continuous integration, continuous delivery, and infrastructure automation.

See salaries and explore the career path for DevOps Engineer

Cloud Engineer

This course covers cloud computing concepts and technologies, providing a foundation for a career as a cloud engineer. As a cloud engineer, you would be responsible for designing, building, and maintaining cloud-based infrastructure and applications, and this course provides the skills and knowledge to excel in this field. The course covers topics such as cloud architecture, cloud services, and cloud security.

See salaries and explore the career path for Cloud Engineer

System Administrator

This course covers system administration concepts and best practices, providing a foundation for a career as a system administrator. As a system administrator, you would be responsible for managing and maintaining computer systems and networks, and this course provides the skills and knowledge to excel in this field. The course covers topics such as operating systems, networking, and security.

See salaries and explore the career path for System Administrator

Software Tester

This course covers software testing concepts and techniques, providing a foundation for a career as a software tester. As a software tester, you would be responsible for testing software applications to ensure they meet quality standards, and this course provides the skills and knowledge to excel in this field. The course covers topics such as test planning, test execution, and test reporting.

See salaries and explore the career path for Software Tester

Technical Writer

This course covers technical writing concepts and best practices, providing a foundation for a career as a technical writer. Technical writers are responsible for creating instruction manuals, user guides, and other technical documents, and this course provides the skills and knowledge to excel in this field. The course covers topics such as technical writing style, documentation planning, and audience analysis.

See salaries and explore the career path for Technical Writer