We may earn an affiliate commission when you visit our partners.
Course image
Emma Martin

By the end of this project, you will create a number of examples that will develop your learning around concepts in Python. This course will enable you to take your beginner knowledge of Python to the next level by incorporating loops, functions, and returns into your programming. Thus, you will be able to develop more complex code and be able to solve more difficult problems. This course will provide students with the knowledge behind different concepts in Python such as loops, methods, and returns which will enable you to write high-quality code.

Read more

By the end of this project, you will create a number of examples that will develop your learning around concepts in Python. This course will enable you to take your beginner knowledge of Python to the next level by incorporating loops, functions, and returns into your programming. Thus, you will be able to develop more complex code and be able to solve more difficult problems. This course will provide students with the knowledge behind different concepts in Python such as loops, methods, and returns which will enable you to write high-quality code.

Thus, ensuring that your code is efficient and robust which is an essential aspect of writing high-quality code. This project will take students through a number of examples demonstrating the most useful Python concepts. You will gain an understanding of these concepts from the in-depth examples provided.

Enroll now

What's inside

Syllabus

Project Overview
By the end of this project, you will create a number of examples that will develop your learning around concepts in Python. This course will enable you to take your beginner knowledge of Python to the next level by incorporating loops, functions, and returns into your programming. Thus, you will be able to develop more complex code and be able to solve more difficult problems. This course will provide students with the knowledge behind different concepts in Python such as loops, methods, and returns which will enable you to write high-quality code. Thus, ensuring that your code is efficient and robust which is an essential aspect of writing high-quality code. This project will take students through a number of examples demonstrating the most useful Python concepts. You will gain an understanding of these concepts from the in-depth examples provided.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores concepts in Python, providing a foundation for taking beginner knowledge to the next level
Develops loops, functions, and returns, which are core skills for writing high-quality code in Python
Provides in-depth examples to help learners understand the concepts
Teaches students how to write efficient and robust code, which is essential for writing high-quality code

Save this course

Save Concepts in Python: Loops, Functions and Returns to your list so you can find it easily later:
Save

Reviews summary

Executable python: loops, functions and returns

Learners say that Concepts in Python: Loops, Functions, and Returns is a good course for beginners to learn the basics of Python. They enjoy the guided projects that make learning engaging. However, more experienced learners may find the course not challenging enough.
The course is designed for beginners.
"It is good for beginners."
"Its a good course if you have just started with python and have very basic knowledge."
"good for learners"
Projects are a key part of this course.
"I love the guided projects."
"practice opportunities made sense and were just challenging enough to be engaging and motivating."
This course is well received.
"i is a great expreience"
"Thank you Coursera for offering such a wonderful courses"
"Just pure Awesomeness!"
Experienced learners may find this course too basic.
"Not bad but pretty basic."
"Great material. I wish there was a part 2 of this course that takes the material to a more challenging level."

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 Concepts in Python: Loops, Functions and Returns with these activities:
Watch Python Tutorials
Watching Python tutorials will help you learn more about the language.
Browse courses on Python
Show steps
  • Find a Python tutorial on a topic you are interested in.
  • Watch the tutorial and take notes.
  • Try out the code from the tutorial on your own.
Review Python Grundlagen
Reviewing Python Grundlagen will help you refresh your knowledge of the language before you begin the course.
Browse courses on Python
Show steps
  • Go through your Python notes.
  • Do some practice problems.
Read The Python Crash Course
Reading this book will help you become more familiar with programming concepts before you begin the course.
Show steps
  • Read through the book from beginning to end.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a Python Notebook
Creating a Python notebook will help you organize your notes and code.
Browse courses on Python
Show steps
  • Create a new notebook.
  • Add your notes and code to the notebook.
  • Organize the notebook using headings and subheadings.
Join a Python Study Group
Joining a Python study group will help you connect with other learners and discuss the material.
Browse courses on Python
Show steps
  • Find a Python study group to join.
  • Attend the study group meetings.
  • Participate in the discussions.
Solve Python Coding Problems
Solving coding problems will help you increase your proficiency with Python syntax.
Browse courses on Python
Show steps
  • Sign up for a coding challenge website.
  • Choose a problem to solve.
  • Try to solve the problem on your own.
  • If you get stuck, look up resources to help you solve the problem.
Build a Python Project
Building a Python project will help you apply your knowledge of the language.
Browse courses on Python
Show steps
  • Come up with an idea for a Python project.
  • Plan out your project.
  • Write the code for your project.
  • Test your project.

Career center

Learners who complete Concepts in Python: Loops, Functions and Returns will develop knowledge and skills that may be useful to these careers:
Software Engineer
Software Engineers make use of all sorts of programming concepts to make all kinds of programs. Business Software, Mobile Apps, and Cloud-based software are all examples of the products that a Software Engineer may design. Python has become ubiquitous in the software industry. Loops, Functions, and Returns are programming concepts that you will use on a daily basis. There is even the possibility that some of your software will end up being used by Data Analysts!
Data Engineer
Data Engineers rely on Python to build and maintain data pipelines. Loops, Functions, and Returns are essential to the automation of data ingestion, transformation, and storage. If you want to build the infrastructure that makes it possible for Data Analysts and Data Scientists to analyze data, then this course will help you to build a foundation in programming concepts.
Quantitative Analyst
Quantitative Analysts rely on Python to perform complex financial calculations and build financial models. Loops, Functions, and Returns are used on a daily basis to perform these tasks. If you want to build a career that bridges finance and computer programming, then this course will provide you with some essential tools.
Data Analyst
Python has become the lingua franca of data analysis. It is used to collect, organize, clean, and analyze data. As a Data Analyst, you may find that you use Loops, Functions, and Returns on a daily basis, particularly if you are working with large and/or complex datasets. By understanding loops, functions, and returns, you can write more beautiful, efficient, readable code to produce insights for your organization.
Research Analyst
Research Analysts rely on Python to collect, organize, clean, and analyze large amounts of data for a variety of purposes. Loops, Functions, and Returns are an essential part of a Research Analyst's toolkit. If you want to help organizations understand trends, patterns, and correlations, then this course can help you with the programming skills you will need.
Business Analyst
Business Analysts rely on Python to automate tasks, perform data analysis, and create visualizations. Loops, Functions, and Returns are essential for the kind of work Business Analysts do. If you want to help companies make better decisions, then these programming concepts will be important to you.
Financial Analyst
Financial Analysts rely on Python to build financial models, perform data analysis, and make recommendations. Loops, Functions, and Returns are essential components of a Financial Analyst's codebase. If you want to understand the financial health of a company, then you should take this course to learn how to build and analyze models with Python.
Machine Learning Engineer
Machine Learning Engineers use Python to build and maintain machine learning models for real-world applications. Loops, Functions, and Returns are fundamental to the creation of these often complex models. If you want to build self-driving cars or facial recognition software, then you should work on building your mastery of these concepts.
Data Scientist
Data Scientists use Python to collect, organize, clean, and analyze data in order to extract insights, build models, and solve problems. Loops, Functions, and Returns are crucial to writing code that handles the complex datasets that Data Scientists often work with. Models built by Data Scientists often allow companies to make better, quicker decisions.
Database Administrator
Database Administrators rely on Python to automate tasks, perform data analysis, and create reports. Loops, Functions, and Returns are essential to the kind of programming tasks that are undertaken by a Database Administrator. If you want to ensure that an organization's data is secure and available, then this course will help you learn how to write Python code.
Security Analyst
Security Analysts rely on Python to write scripts and programs to protect networks and systems from cyber threats. Loops, Functions, and Returns are an essential part of a Security Analyst's toolbox. If you want to ensure that an organization's data and systems are secure, then this course can help you learn how to write Python code that will strengthen its security posture.
Software Tester
Software Testers rely on Python to write automated tests and perform quality assurance. Loops, Functions, and Returns are key components of a Software Tester's coding repertoire. If you want to make sure that software is performing as intended and is free of defects, then learning how to write Python code will be helpful to you.
Web Developer
Web Developers use Python to write the server-side code that handles user requests and delivers web pages. Loops, Functions, and Returns are used in a wide-variety of this code. If you want to get into web development, this course will serve to reinforce programming fundamentals that you can apply in your web development.
Systems Analyst
Systems Analysts rely on Python to gather requirements, analyze processes, and document systems. Loops, Functions, and Returns are essential components of programming that may be involved in this kind of work. If you want to help organizations improve the efficiency and effectiveness of their operations, then you can take this course to build your programming skills.
IT Consultant
IT Consultants rely on Python to perform data analysis, provide technical support, and troubleshoot problems. Loops, Functions, and Returns are used by IT Consultants on a daily basis. If you want to help organizations solve their technology problems, then this course will be helpful as you develop your coding skills.

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Concepts in Python: Loops, Functions and Returns.
Comprehensive guide to the Python standard library. It covers all the major modules in the standard library, making it a good choice for those who want to learn more about the standard library or use it as a reference.
Comprehensive reference guide to the Python programming language. It covers all the major features of Python, making it a good choice for those who want to learn more about the language or use it as a reference.
Teaches advanced Python programming techniques. It covers topics such as object-oriented programming, data structures, and algorithms, making it a good choice for those who want to learn how to write more efficient and effective Python code.
Teaches best practices for writing Python code. It covers topics such as code readability, maintainability, and performance, making it a good choice for those who want to learn how to write better Python code.
Provides a comprehensive introduction to Python programming, covering the basics as well as more advanced topics such as object-oriented programming and data structures. It good choice for beginners who want to learn Python from scratch.
Self-paced guide to learning Python programming. It covers the basics of Python through a series of exercises, making it a good choice for those who want to learn by doing.
Teaches how to use Python to automate everyday tasks, such as sending emails, downloading files, and scraping websites. It good choice for those who want to learn how to use Python for practical purposes.
Collection of recipes for solving common Python programming problems. It good choice for those who want to learn how to solve specific problems using Python.

Share

Help others find this course page by sharing it with your friends and followers:
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser