We may earn an affiliate commission when you visit our partners.

Python Generators

Noah Gift

In this 1-hour hands-on project, you will learn how to build and utilize generator functions for efficient lazy sequence generation in Python. Specifically, you will understand how to:

* Define generator functions using yield statements to lazily produce values

* Create infinite data streams with recurrent generators

* Apply generators for data processing pipelines and transformations

* Use generator expressions for inline lazy object creation

Enroll now

Or subscribe to Coursera Plus

And get unlimited access to Coursera

What's inside

Syllabus

Project Overview

Here you will describe what the project is about...give an overview of what the learner will achieve by completing this project.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

If your interests are in computer science and computer programming, this is an ideal course for you

If you need intermediate Python skills, this course can be an excellent fit

If you want to cover sequence generation in Python with hands-on learning, this is an excellent course

Save this course

Save Python Generators to your list so you can find it easily later:

Save

Activities

Coming soon We're preparing activities for Python Generators. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Python Generators will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists clean, analyze, and interpret data and develop machine learning models to identify trends and solve problems. This course can be a valuable asset for aspiring Data Scientists as it equips them with techniques for efficiently generating and manipulating data streams. The knowledge gained from this course can enhance their ability to build robust data processing pipelines and develop effective machine learning algorithms.

See salaries and explore the career path for Data Scientist

Data Engineer

Data Engineers design, build, and maintain data management systems. This course can prove beneficial for aspiring Data Engineers as it provides a solid understanding of generator functions, enabling them to design efficient data pipelines and optimize data processing tasks. The hands-on project-based approach of this course allows learners to apply their knowledge in practical scenarios, enhancing their job readiness.

See salaries and explore the career path for Data Engineer

Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models. This course can be beneficial for aspiring Machine Learning Engineers as it provides a foundation in generator functions. By understanding how to generate and manipulate data streams efficiently, they can optimize the performance of their machine learning models, especially when dealing with large datasets or real-time data.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

Software Engineers design, develop, and maintain software systems. This course can be useful for aspiring Software Engineers as it introduces the concept of generators and their applications in software development. Understanding generator functions can help them write more efficient and maintainable code, particularly when dealing with large datasets or iterative processes.

See salaries and explore the career path for Software Engineer

Statistician

Statisticians collect, analyze, and interpret data to draw conclusions and make predictions. This course can be useful for aspiring Statisticians as it provides a foundation in generator functions, which can be valuable for handling large datasets and conducting statistical analysis. Understanding how to efficiently generate and manipulate data streams can enhance their ability to perform statistical modeling and hypothesis testing.

See salaries and explore the career path for Statistician

Data Analyst

Data Analysts collect, analyze, and interpret data to identify trends and patterns. This course can be useful for aspiring Data Analysts as it provides techniques for efficiently generating and manipulating data streams. Understanding generator functions can enhance their ability to process large datasets, perform exploratory data analysis, and extract meaningful insights.

See salaries and explore the career path for Data Analyst

Research Scientist

Research Scientists conduct research and develop new knowledge in various fields. This course can be useful for aspiring Research Scientists as it provides a foundation in generator functions. Understanding how to efficiently generate and manipulate data streams can be valuable when conducting research that involves large datasets or iterative processes.

See salaries and explore the career path for Research Scientist

Financial Analyst

Financial Analysts analyze financial data and make investment recommendations. This course can be useful for aspiring Financial Analysts as it provides a foundation in generator functions. Understanding how to efficiently generate and manipulate data streams can enhance their ability to analyze financial data, identify investment opportunities, and manage risk.

See salaries and explore the career path for Financial Analyst

Business Analyst

Business Analysts analyze business processes and identify areas for improvement. This course can be useful for aspiring Business Analysts as it provides techniques for efficiently generating and manipulating data streams. Understanding generator functions can enhance their ability to analyze business data, identify trends, and develop recommendations for process optimization.

See salaries and explore the career path for Business Analyst

Data Architect

Data Architects design and implement data management solutions. This course can be useful for aspiring Data Architects as it provides a foundation in generator functions. Understanding how to efficiently generate and manipulate data streams can enhance their ability to design scalable and efficient data management systems.

See salaries and explore the career path for Data Architect

Database Administrator

Database Administrators manage and maintain databases. This course can be useful for aspiring Database Administrators as it provides a foundation in generator functions. Understanding how to efficiently generate and manipulate data streams can enhance their ability to optimize database performance and ensure data integrity.

See salaries and explore the career path for Database Administrator

Project Manager

Project Managers plan and execute projects. This course may be useful for aspiring Project Managers as it provides techniques for efficiently generating and manipulating data streams. Understanding generator functions can enhance their ability to manage project data, track progress, and identify areas for improvement.

See salaries and explore the career path for Project Manager

Product Manager

Product Managers define and manage the development of products. This course may be useful for aspiring Product Managers as it provides techniques for efficiently generating and manipulating data streams. Understanding generator functions can enhance their ability to gather and analyze user data, identify product requirements, and prioritize features.

See salaries and explore the career path for Product Manager

Salesforce Administrator

Salesforce Administrators implement and maintain Salesforce CRM systems. This course may be useful for aspiring Salesforce Administrators as it provides techniques for efficiently generating and manipulating data streams. Understanding generator functions can enhance their ability to manage user data, automate workflows, and generate reports.

See salaries and explore the career path for Salesforce Administrator

Systems Analyst

Systems Analysts analyze and design computer systems. This course may be useful for aspiring Systems Analysts as it provides techniques for efficiently generating and manipulating data streams. Understanding generator functions can enhance their ability to gather and analyze system data, identify inefficiencies, and design optimal solutions.

See salaries and explore the career path for Systems Analyst

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 Python Generators.

Python for DevOps