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Charles Severance, Stephen Catto, and Sue Blumenberg

Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more This course is designed for anyone who wants to learn the basics of programming computers using Python. This course has no prerequisites and avoids all but the simplest maths.

Topics Covered

  • Understanding a program
  • Using variables in programs
  • Conditional execution (if statements)
  • Repeated execution / looping (for statements)
  • Functions and code reuse

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Reviews summary

Accessible python fundamentals

According to students, 'Programming for Everybody' is an exceptionally clear and accessible starting point for learning Python, especially for absolute beginners with no prior coding experience. Learners consistently praise Dr. Chuck's engaging and clear teaching style, noting how he makes complex topics easy to grasp and enjoyable. The course provides a strong fundamental understanding of programming logic through practical exercises and quizzes. While it offers a solid foundation for future learning, some learners with prior experience found the pace to be slow, suggesting it's perfectly tailored for its target audience.
Essential logic and Python basics for next steps.
"I feel I've gained a fundamental understanding of programming logic."
"It covers the very basics... good for a first look, though."
"It's a foundational course, so don't expect to be a pro afterwards, but it's a perfect start."
"This course truly lives up to its name. It teaches you how to think like a programmer using Python."
Hands-on coding solidifies understanding.
"The exercises are perfect for solidifying understanding. I now feel confident to write basic scripts."
"The practical examples were very helpful."
"The lectures are engaging, and the quizzes truly test your understanding without being overly difficult."
"The practical exercises helped me apply what I learned immediately."
Dr. Chuck's unique teaching makes learning enjoyable and simple.
"Dr. Chuck is an amazing instructor, making complex topics like loops and functions so easy to grasp."
"I loved the hands-on approach and the way Dr. Chuck explains concepts."
"Dr. Chuck is a legend! His teaching style makes learning programming enjoyable and not overwhelming."
"Dr. Chuck's passion for teaching shines through."
Highly accessible introduction for novices.
"This course is absolutely fantastic for anyone starting with Python."
"Perfectly named 'Programming for Everybody'! The course truly delivers on its promise of being beginner-friendly."
"As a complete novice, this course was a godsend. The explanations are incredibly clear..."
"This course removed all my fears about learning to code. It's truly for 'everybody'."
Pace suitable for beginners, slow for experienced.
"My only minor critique is that it moves a bit slow if you have any prior coding experience, but for true beginners, it's probably ideal."
"Good course for absolute beginners... Some parts felt a little repetitive."
"While it's good for absolute beginners, I found the pace a bit slow, and it didn't challenge me much."
"It's okay as a very first introduction, but I think it could be more concise. Some explanations felt dragged out."

Career center

Learners who complete Programming for Everybody (Getting Started with Python) will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 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 Programming for Everybody (Getting Started with Python).
Teaches techniques for improving the design of existing code without changing its functionality. It valuable resource for anyone who wants to make their code more readable, maintainable, and extensible.
Gathers hundreds of battle-tested recipes covering network programming, memory management, data structures, and functional decorators for veteran application developers.
Delivers the canonical blueprint for numeric analysis from the creator of pandas, thoroughly detailing NumPy structures, data cleaning, and high-speed transformations.
Introduces clean architecture, domain-driven design, and event-driven microservices to Python developers, demonstrating repository patterns and dependency inversion.
Demystifies programming for practical utility, guiding beginners through real-world automation projects including web scraping, spreadsheet generation, and file audits.
Provides a comprehensive overview of variables in Python. It covers topics such as data types, scope, and memory management. It valuable resource for students and professionals who want to gain a deeper understanding of variables in Python.
Known as 'CLRS', this comprehensive reference for algorithms. Loops are integral to the implementation and analysis of many algorithms, and this book provides a rigorous treatment of their application in various computational problems. It standard textbook for undergraduate and graduate-level algorithms courses and is an essential reference for anyone looking to deepen their understanding of how loops are used in efficient problem-solving.
Provides a comprehensive overview of variables in Ruby. It covers topics such as data types, scope, and memory management. It valuable resource for students and professionals who want to gain a deeper understanding of variables in Ruby.
Focuses on static typing, structural subtyping, and defensive design techniques, demonstrating how modern type annotations prevent regressions in enterprise codebases.
Provides a comprehensive overview of variables in JavaScript. It covers topics such as data types, scope, and memory management. It valuable resource for students and professionals who want to gain a deeper understanding of variables in JavaScript.
This comprehensive textbook covers the fundamental concepts of algorithms, data structures, and analysis techniques. It provides a deep understanding of how algorithms work and how to design efficient and effective solutions to programming problems. While not specifically focused on programming fundamentals, it is an essential resource for programmers looking to develop a strong foundation in algorithm design and analysis.
Offers a structured and in-depth approach to programming fundamentals using the C programming language. It covers essential concepts such as data structures, algorithms, and memory management, making it well-suited for both beginners and experienced programmers seeking a deeper understanding of C.
Unpacks professional testing methodologies using pytest, explaining fixture management, parameterized tests, coverage tracking, and automated CI test execution.
Investigates advanced software craft, detailing packaging distribution, bytecode internals, scaling architectures, and maintainability across large distributed systems.
Bridges volumetric point cloud analysis with Python, teaching LiDAR processing, spatial meshing, and 3D machine vision using modern scientific computing toolchains.
Presents a welcoming, foundational ramp into computational logic and programming, establishing syntax literacy, object modeling, and error handling for total beginners.
Presents the fundamental concepts of computer science in a clear and concise manner. It covers topics such as data structures, algorithms, and software engineering, making it suitable for beginners with no prior programming experience who are looking to gain a broad understanding of computer science.
Provides 50 focused exercise routines and guided breakdowns designed to build instinctive muscle memory across collections, functional pipelines, algorithms, and file I/O.
This visually appealing and engaging book presents programming fundamentals in Java in a unique and memorable way. It uses a conversational style and numerous illustrations to make learning enjoyable and accessible, particularly for beginners with no prior programming background.
This collection of thought-provoking problems and elegant solutions in various programming languages challenges readers to think critically and develop their problem-solving abilities. It covers a range of topics, including algorithms, data structures, and code optimization, making it a valuable resource for experienced programmers looking to hone their skills.
A detailed guide to conditional statements in Rust, covering if-else expressions, match expressions, and other conditional constructs. It also discusses topics such as pattern matching and error handling.
Provides a comprehensive introduction to artificial intelligence, covering topics such as machine learning, natural language processing, and computer vision. It is suitable for students with a strong background in mathematics and computer science.
Provides a comprehensive introduction to machine learning, covering topics such as supervised learning, unsupervised learning, and reinforcement learning. It is suitable for students with a strong background in mathematics and computer science.
Provides a comprehensive introduction to deep learning, covering topics such as neural networks, convolutional neural networks, and recurrent neural networks. It is suitable for students with a strong background in mathematics and computer science.
Provides a comprehensive introduction to partial differential equations, covering topics such as the heat equation, the wave equation, and the Laplace equation. It is suitable for students with a strong background in calculus and linear algebra.
Tackles the full lifecycle of shipping models into production, covering feature store development, container packaging, drift detection, and continuous retraining.
Introduces programming fundamentals using Python, emphasizing the mathematical and conceptual foundations of computer science. It covers topics such as data types, control flow, and object-oriented programming, making it suitable for beginners with a strong interest in the theoretical aspects of programming.
Practical guide to variables in programming. It covers topics such as variable types, scope, and memory management. It also provides numerous examples and exercises to help readers learn how to use variables effectively.
Provides a comprehensive introduction to functions in mathematics, covering topics such as the real number system, complex numbers, and the calculus of functions. It is suitable for students with a strong background in mathematics.
Connects systems engineering with offensive network reconnaissance, detailing raw packet manipulation, Windows process injection, and reverse shell programming.
Examines computational molecular biology through a programmer lens, illustrating genomic sequence alignment, phylogenetic modeling, and biochemical laboratory automation.
Provides a gentle introduction to programming using the Scheme programming language. It covers essential programming concepts such as variables, functions, and data structures, making it suitable for beginners with no prior programming experience who are looking to learn a functional programming language.
Covers conditional statements in Ruby, including if-else statements, case statements, and conditional expressions. It also discusses more advanced topics such as truthiness and nil.

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