Python Programming for Beginners: Complete Python Fundamentals
About This Course
Learn Python programming from scratch with this beginner-friendly course by Apna College. This course introduces the fundamentals of Python, helping you build a strong foundation in programming and problem-solving. You will learn how to install Python, display output, work with variables and data types, accept user input, perform type conversions, and manipulate strings. The course also covers logical operators, conditional statements, loops, loop control statements, and Python's built-in data structures, including lists, tuples, sets, and dictionaries. You will also explore functions and apply your learning through practical exercises and a calculator mini-project. **What you'll gain:** A foundation in Python programming, the ability to write basic Python programs, and the knowledge needed to progress toward projects in web development, automation, data science, and artificial intelligence. **Learning Path:** Watch → Practice → Complete the Python Quiz → Earn Your SkillRock Certificate. Complete the course and pass SkillRock's Python Fundamentals assessment with a score of at least 70% to qualify for the course-completion certificate.
What You Will Learn
Python Fundamentals Challenge — Student Result Analyzer
Test your understanding of Python programming concepts covered in the Apna College beginner course. This quiz covers variables, data types, input/output, type conversion, strings, operators, conditional statements, loops, Python collections, and functions.
Mandatory Features To Build:
- Implement the exact function signature solution(marks).
- Calculate the total of all examination marks.
- Calculate the average and round it to two decimal places.
- Identify the highest mark.
- Identify the lowest mark.
- Assign the correct grade using the specified grade boundaries.
- Return a dictionary containing all five required keys.
- Handle an empty list by raising ValueError.
- Reject marks below 0 or above 100 by raising ValueError.
- Use appropriate Python data structures, conditional statements, and functions.
- Ensure the function works for lists containing a single mark.
- Ensure the function handles decimal marks correctly.
- Pass the provided automated unit tests.