Master Python programming with a focus on writing efficient, high-quality code and automated testing.
Master Python programming with a focus on writing efficient, high-quality code and automated testing.
Enhance your Python programming skills with this course focused on crafting quality code. Learn to design, implement, and validate programs efficiently. Explore topics such as automated testing, algorithm analysis, and object-oriented programming. Gain practical experience in writing robust, well-structured code and comparing different approaches to solving programming problems. Ideal for those with basic Python knowledge looking to improve their coding practices and software design skills.
4.6
(720 ratings)
67,262 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 3 more
What you'll learn
Design and implement efficient algorithms in Python
Write and run automated tests using doctest and unittest
Analyze and compare different algorithms for performance
Create custom types and use object-oriented programming principles
Implement effective error handling and exception management
Develop skills in writing clear, maintainable, and efficient code
Skills you'll gain
This course includes:
2.9 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This course focuses on developing high-quality Python code and improving programming practices. Students learn to design efficient algorithms, implement automated testing strategies, and analyze code performance. The curriculum covers key topics such as unit testing with doctest and unittest, creating custom types, and object-oriented programming concepts. Participants gain hands-on experience in writing robust, well-structured code through practical exercises and a final project. The course emphasizes the importance of code quality, efficiency, and proper software design principles.
Week 1
Module 1 · 2 Hours to complete
Week 2
Module 2 · 3 Hours to complete
Week 3
Module 3 · 2 Hours to complete
Week 4
Module 4 · 1 Hours to complete
Week 5
Module 5 · 3 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructors
Passionate Educator and Researcher in Computer Science Education
Jennifer Campbell is a Professor, Teaching Stream, in the Department of Computer Science at the University of Toronto. Since joining in 2003, she has taught various courses but is particularly passionate about teaching introductory computer science. She has co-authored a textbook and contributed to curriculum design in this area. Her research focuses on computer science education, specifically examining student experiences and factors influencing success in introductory courses. Outside of academia, Jen is an avid runner and has completed two marathons.
Acclaimed Educator and Innovator in Computer Science
Paul Gries is a Professor in the Teaching Stream at the University of Toronto's Department of Computer Science, where he has been a faculty member since the late 1990s. Renowned for his exceptional teaching abilities, he has received several prestigious awards, including the President’s Teaching Award from the University of Toronto and the Ontario Confederation of University Faculty Associations (OCUFA) Teaching Award. Gries is also recognized for his contributions to curriculum design and has co-authored two significant textbooks on programming, further solidifying his influence in computer science education.In addition to his teaching accolades, Gries has played a pivotal role in advancing online learning initiatives, including massive open online courses (MOOCs). His educational philosophy emphasizes practical programming skills and engaging teaching methods, making him a respected figure among students and educators alike. Outside of academia, he enjoys gaming, gardening, and exploring new technologies.
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4.6 course rating
720 ratings
Frequently asked questions
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