Understand Python Object Easily with this Coursera Program

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Understand Python Object Easily with this Coursera Program

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Aishwarya Muttineni

06 April 2023

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Understand Python Object Easily with this Coursera Program

Course Overview

This Python Object Basics: Functions, Recursion, and Objects by Coursera is a course intended for students with little or no coding experience which provides a solid foundation in Python and core Computer Science topics that can be applied to other programming languages. The course modules cover functions, recursion, objects, and mutability. Completion of the previous 2 courses in this specialization is strongly advised before enrolling for this program.

The instructors of this course are Patrick Ester, Director of Content at Codio, and Elise Deitrick, Vice President of Product and Partnerships at Codio.

"Take this course to gain a clear understanding of Python basics, improve your skill set, and to stay on top of the latest trends in the industry."

- Aishwarya Muttineni

Course Structure

The weekly structure of the course is as follows:

  • Week 1: It takes 4 hours to complete. The topic dealt with is User-Defined Functions. You learn how to re-use pieces of code by wrapping them in functions. In this week, you can create functions that take in and return data.
  • Week 2: It takes 2 hours to complete. The topic is Recursion. Here we use recursion for special cases of iteration.
  • Week 3: It takes 2 hours to complete. The topic is Introduction to Objects. We learn about user-defined classes and how to use them to create objects.
  • Week 4: It takes 2 hours to complete. The topic is Mutability. We learn to change the attributes associated with an object through methods.

Every week, there will be 3 chances to submit the quiz within 8 hours. Another attempt can only be made after 8 hours.

Insider Tips

To get the best out of this course, I have included some important tips that you might find useful.

Keep Practicing

Practice the basics of Object-Oriented Programming System (OOPS) taught in the course. Apply the terms and concepts to gain knowledge. Watch and re-watch the course videos; I promise they will all make sense!


Assessment

This course has a quiz-based assessment to check the performance of the candidates. The first-week quiz contains a total of 18 questions and requires a minimum of 85% to pass. In the second, third, and four week the quizzes consist of 5 questions and have the same pass percentage.  Two attempts at maximum are allowed for all quizzes. All quizzes need to be passed to get the certification.


Prerequisites 

This course requires you to have a solid foundation in computer science topics. Limited coding experience is also acceptable.

Final Take

I was in my third year of Bachelors in Technology when I undertook this course.

Nowadays, tech giants are demanding and hiring people with expertise in object-oriented approaches and patterns and conducting interviews for the same. Companies desire to hire such candidates as they can learn other OOP languages easily per organization requirements.

Python is a great programming language that supports OOP. You will use it to define a class with attributes and methods, which you will call. Python offers several benefits compared to other programming languages like Java, C++ or R. It is a dynamic language with high-level data types. So I decided to do OOPS in the Python course and came across this Coursera program having the highest rating.

I recommend the below courses as well for those interested in Python:

Python basic methods are essential as they will help you develop and improve your skill set, stay on top of the latest trends in your industry, keep a pulse on the job market, meet prospective mentors, partners, and clients, and gain access to the necessary resources needed to foster your career development. I would like to recommend this course to everyone who wishes to ace their interviews and learn their way up from the basics of programming.

Key Takeaways

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Learn how to architect larger programs using object-oriented principles

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Encapsulation of relevant information and methods in a class

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Understand how to reuse parts of classes using inheritance

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Does not require learners to have prior coding experience

Course Instructors

Aishwarya Muttineni

ML & NLP Engineer

Currently enrolled as a Computer science engineering(CSE) student at GITAM University Bangalore. Interested in the Artificial intelligence(AI) as well as Machine learning(ML)