Python
This skill path is perfect for learning Python from the basics to advanced topics like functions, loops, OOP, and file handling. It includes 10 MCQs, 20 coding challenges, and a project to build a bank system using OOP. You’ll also learn Git and GitHub, helping you manage code and collaborate on projects effectively.
Skill Level
Beginner
Projects
1+
Time to complete
263+ hours
About
This skill path is one of the best options for learning Python from scratch. It covers foundational topics such as functions, variables, conditionals, loops, and exceptions, along with advanced concepts like object-oriented programming (OOP) and file input/output.
In addition to core Python concepts, this path includes various interactive resources. You'll find 10 multiple-choice questions (MCQs) designed to strengthen your understanding through research and exploration, as well as 20 coding challenges to apply your skills in problem-solving. You’ll also dive deep into OOP by building a practical bank account system project, learning to create and inherit classes and handle custom exceptions, reinforcing essential software design principles for real-world applications.
Additional resources include MCQs from JavatPoint covering Python topics like OOP and other core concepts, providing detailed answers for self-assessment.
Finally, a comprehensive Git and GitHub tutorial covers everything from installing Git and setting up repositories to managing and pushing changes. Mastering these tools is essential for professional development, as it allows you to collaborate effectively, version your code, and safeguard your projects for future growth.
Topics
- Git
- GitHub
- Data Structures and Algorithms
- Python Programming
- File Input/Output
- Python MCQ
- Object-Oriented Programming (OOP)
Skill Path
Learn to Code the Right Way: Essential Strategies
Coding can be difficult, but there are a few habits you can develop to become a better programmer. Focus on one thing at a time by choosing a single course or resource and sticking with it. Finish what you start by completing projects and assignments instead of giving up. Everyone fails at coding sometimes; the key is to learn from mistakes and keep trying. Understand the theory behind coding concepts, and remember that the most important thing is to keep coding. The more you practice, the better you will become.
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Should You Learn Python in 2024? A Quick Overview
In 2024, learning Python is still valuable due to its simplicity, versatility, and use in AI and data science. It's beginner-friendly and great for coding interviews and automation. However, relying solely on Python may limit job opportunities since many already know it. To stand out, consider learning other languages like JavaScript or C++. Choose your path based on your career goals and stay flexible to adapt to industry trends.
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Overview of Python Programming Basics Course
This is one of the best courses for learning Python from scratch. It covers functions, variables, conditionals, loops, and exceptions, along with object-oriented programming and file input/output. With practical lessons and tests, you'll gain the skills to confidently start your own Python projects.
YouTube
Interactive MCQ Learning Website
This website offers 10 simple multiple-choice questions (MCQs) designed to enhance learning. Users can attempt each question and, if unsure, research answers using search engines or ask AI for help. This approach promotes active learning and helps users easily grasp new concepts through guided problem-solving and exploration.
Solving 20 coding challenges helped improve your skills
The page provides a list of 20 coding challenges categorized as "Easy." Each challenge includes a "Solved" counter and an "Acceptance" counter, showing your progress. Users can also filter challenges and have the option to register or sign in for premium features. These challenges are designed to help users improve their programming and algorithm skills. The page is part of a coding platform or online learning resource, making it an excellent place for anyone looking to practice and enhance their coding abilities.
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Python OOP (Object-Oriented Programming) Project for Beginners
Explore the power of Object-Oriented Programming (OOP) in Python by building a practical bank account system. Learn how to create classes and use inheritance to develop specialized accounts like interest-bearing and savings accounts, complete with method overrides and custom exception handling. This project helps solidify OOP fundamentals while teaching you to design reusable, well-structured code for real-world applications.
YouTube
Practice Python MCQs with Answers – JavatPoint
Discover a valuable web page on JavatPoint that offers multiple-choice questions (MCQs) on various Python topics, including OOP and other key concepts. Each question is designed to test your understanding, and answers are provided to help you learn effectively. Try to solve each question first, and if you're unsure, you can check the answers to reinforce your learning and deepen your Python knowledge.
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If you don't understand any topic (and that's completely normal) or want to learn more details, just visit the official website for helpful resources. You can also use any free AI tool to get explanations in a way that makes sense to you. Don't hesitate to seek out more information—it's a great way to deepen your understanding!.
Data Structures and Algorithms in Python - Full Course for Beginners
The video introduces essential data structures and algorithms in Python, focusing on binary search and linked lists. Led by Akash NS, it’s beginner-friendly and includes practical coding exercises, weekly assignments, and discussions on algorithm efficiency. Viewers will gain valuable skills for problem-solving and technical interviews, making it a worthwhile watch for those learning Python.
YouTube
Awesome work finishing DSA in Python! Now, let’s put your skills to the test with some DSA questions. Tackle each one carefully—these challenges will help sharpen your problem-solving even more!
Solve Problems Based on Data Structures
Stop searching for answers and go directly to the problem. Instead of browsing around, focus on solving the LeetCode challenges and sharpen your skills. Get to coding now and tackle those problems head-on without wasting time!
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Master Git and GitHub: Essential Tools for Code Management and Collaboration
In this video, the speaker provides a comprehensive Git and GitHub tutorial. It starts with an introduction to Git, a version control system that helps track changes to your code over time, and GitHub, a web-based platform for hosting Git repositories. The speaker walks through installing Git, creating a GitHub account, and setting up your first Git repository. You'll also learn how to commit changes and push them to GitHub for safe storage and collaboration.
Why learn this skill? Mastering Git and GitHub is crucial for any developer. It allows you to manage code efficiently, collaborate seamlessly with others, and safeguard your projects. Understanding Git not only improves productivity but is also a standard in the industry, making it a key skill for career growth.
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7 Job Options After Learning Python
This video highlights seven career tracks for Python experts: Data Analyst, Web Developer, Machine Learning Engineer, Data Scientist, DevOps Engineer, Game Developer, and Automation Engineer. It covers the Python skills needed for each role, emphasizing their growth potential and high earning opportunities. The video also offers resources to further develop Python skills and explore these career options.
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