May 1, 2024
Updated May 8, 2025
21 minute read
Programming Basics: A Comprehensive Guide
Programming, at its core, is the process of designing and building an executable computer program to accomplish a specific computing result or to perform a specific task. It involves tasks such as analysis, generating algorithms, profiling algorithms' accuracy and resource consumption, and the implementation of algorithms in a chosen programming language (commonly referred to as coding). Think of it as providing a set of detailed instructions that a computer can understand and follow to achieve a desired outcome. These instructions, written in a programming language, form the backbone of the software, websites, and applications that are integral to our daily lives.
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Reading list
We've selected 36 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 Basics.
Is the definitive guide to the Scala programming language. It covers all aspects of the language, from its syntax and semantics to its implementation and use.
Is the official guide to the Go programming language. It covers all aspects of the language, from its syntax and semantics to its implementation and use.
Comprehensive introduction to the Haskell programming language. It covers all aspects of the language, from its syntax and semantics to its implementation and use.
Classic textbook on algorithms. It covers a wide range of algorithms, from sorting and searching to graph theory and dynamic programming. It is an excellent resource for anyone who wants to learn about the design and analysis of algorithms.
Is the official guide to the Rust programming language. It covers all aspects of the language, from its syntax and semantics to its implementation and use.
Provides an in-depth look at JavaScript, covering the language's core concepts and advanced features. It is written in a clear and concise style, making it a valuable resource for both beginners and experienced programmers.
Offers practical advice and best practices for software development, focusing on timeless principles that apply across languages and technologies. It emphasizes taking responsibility, continuous learning, and writing flexible and maintainable code. It's highly recommended for both new and experienced programmers looking to improve their craft and approach to problem-solving.
Focusing on writing readable, maintainable, and testable code, this book provides guidelines and principles for creating high-quality software. It's filled with practical examples and is considered a cornerstone for developing good coding habits. While the examples are primarily in Java, the principles are universally applicable to any programming language.
Provides a comprehensive introduction to Java programming, covering the basics of the language and its core concepts. It is written in a conversational and engaging style, making it a great choice for beginners.
Provides a comprehensive introduction to data structures and algorithms in Java. It covers the basics of data structures, such as arrays, linked lists, and trees, as well as the algorithms for searching, sorting, and manipulating data.
Free online textbook that provides a comprehensive introduction to programming in Python. It covers the basics of the language, as well as more advanced topics such as object-oriented programming and data structures.
Practical guide to using Haskell in real-world applications. It covers a wide range of topics, from web development to data science.
Widely known as CLRS, this comprehensive textbook standard reference for algorithms and data structures. It covers a broad range of topics with detailed explanations and mathematical analysis. While challenging, it's essential for gaining a deep understanding of the efficiency and design of algorithms, crucial for more advanced programming concepts.
Focuses on explaining data structures and algorithms through various puzzles and interview-style problems. It's a popular resource for practicing algorithmic thinking and preparing for technical interviews. While not a formal textbook, it's highly practical for solidifying understanding through application.
Provides a gentle introduction to programming in Python. It is written in a clear and concise style, making it a great choice for beginners.
Offers a very approachable and visual introduction to common algorithms and data structures. Using clear explanations and engaging illustrations, it makes complex topics accessible to beginners. It's an excellent starting point for those new to algorithms before tackling more dense textbooks.
This unique book takes a hands-on approach to understanding how computer systems are built, starting from the most basic logic gates and progressing to building a simple computer and operating system. It provides a deep understanding of the hardware/software interface and is an excellent complement to learning programming basics.
Gentle introduction to the Lisp programming language. It covers the basics of the language, as well as more advanced topics such as macros and metaprogramming.
This textbook uses Java to introduce fundamental programming concepts and computational thinking in an interdisciplinary context. It's often used in introductory computer science courses and provides a solid foundation in programming using a widely used language.
Definitive guide to the process of refactoring, which is restructuring existing code without changing its external behavior. It provides techniques and strategies for improving code design, readability, and maintainability. It's particularly useful for those looking to improve the quality of their code and work with existing codebases.
Practical guide to learning Python. It takes a hands-on approach, with plenty of exercises and challenges to help you learn the language.
Focuses on the principles of designing software that is simple, understandable, and maintainable. It provides practical advice on how to make design decisions that lead to better code. It's a valuable read for anyone looking to improve their software design skills.
This influential book, often referred to as the 'Gang of Four' book, presents a catalog of reusable design patterns for object-oriented software. Understanding these patterns helps in writing more flexible, maintainable, and efficient code. It's a key resource for deepening understanding of software design principles beyond basic syntax.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/gkq78b/programming
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