Python Programming Essentials
Learn fundamental Python programming concepts including expressions, variables, functions, and conditionals.
Learn fundamental Python programming concepts including expressions, variables, functions, and conditionals.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Introduction to Scripting in Python Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.8
(3,443 ratings)
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Instructors:
English
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What you'll learn
Understand basic Python syntax and semantics
Write and execute simple Python programs
Work with variables and basic data types
Create and use functions effectively
Implement logic and conditional statements
Utilize Python modules for extended functionality
Skills you'll gain
This course includes:
3.65 Hours PreRecorded video
3 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This foundational course introduces beginners to Python programming using Python 3 and the CodeSkulptor development environment. Students learn essential programming concepts including expressions, variables, functions, logic, and conditionals. The course emphasizes practical coding skills through hands-on exercises and projects. By using the web-based CodeSkulptor platform, students can start programming immediately without installing software. The curriculum builds from basic arithmetic operations to creating functional programs that solve real tasks.
Python as a Calculator
Module 1 · 1 Hours to complete
Functions
Module 2 · 1 Hours to complete
Logic and Conditionals
Module 3 · 1 Hours to complete
Python Modules
Module 4 · 3 Hours to complete
Fee Structure
Instructors
Expert in Systems Software and Professor at Rice University
Dr. Scott Rixner is a Professor of Computer Science at Rice University, where he specializes in systems software and computer architecture. His research interests include virtualization, operating systems, and the development of lightweight Python interpreters for embedded systems. With a Ph.D. from MIT, Dr. Rixner has been instrumental in teaching a variety of introductory courses at Rice, such as Computational Thinking, Algorithmic Thinking, and Introduction to Computer Systems. He actively contributes to curriculum development as the chairman of the curriculum committees for both the Department of Computer Science and the School of Engineering.In addition to his teaching and research roles, Dr. Rixner has authored numerous publications and holds several patents related to memory systems and networking. He plays a significant role in leading online degree programs at Rice, including the MCS@Rice initiative. His commitment to education and innovation in computer science is evident in his courses on Coursera, such as "Algorithmic Thinking" and "An Introduction to Interactive Programming in Python," which aim to equip students with essential programming skills and computational concepts.
Expert in Computer Graphics and Game Design at Rice University
Dr. Joe Warren is a Professor in the Department of Computer Science at Rice University, where he has dedicated his career to the fields of computer graphics and geometric modeling. With extensive research contributions, he is the author of the book Subdivision Methods for Geometric Design and has published numerous papers on related topics. Dr. Warren is passionate about computer gaming, teaching both introductory game creation and advanced game design courses in collaboration with industry professionals in Houston. His academic journey began as an undergraduate at Rice from 1979 to 1983, followed by earning his Ph.D. from Cornell University in 1986. He has been a faculty member at Rice ever since, serving as the Chair of the Department from 2008 to 2013.In addition to his teaching responsibilities, Dr. Warren has played a significant role in developing online courses on platforms like Coursera, including "Algorithmic Thinking" and "An Introduction to Interactive Programming in Python." His commitment to education and innovation in computer science is evident through his efforts to engage students in hands-on learning experiences that blend theory with practical application.
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4.8 course rating
3,443 ratings
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