Coding Academy 2024 Eleventh Edition

Programming starts with small decisions: what kind of data a program should handle, how its parts fit together, and how to make those parts do useful work. Coding Academy 2024 Eleventh Edition builds from those foundations into a broad tour of languages, databases and practical coding topics.

Compiled by April Madden and Steve Dacombe, this 164-page bookazine gives Python a central role while also introducing Erlang, Rust and Go. Its contents move between fundamentals, applied projects and reference material, offering readers several ways into the subject.

Start with Python’s building blocks

The early articles explore data types, abstraction, files, modules and scripts. From there, the Python coverage branches into dates and numbers, functions, networking, encryption and scientific tools including NumPy and SciPy. The sequence connects basic programming ideas with the kinds of tasks they support.

Put code to work with data and databases

Database topics include SQLite, MariaDB and MongoDB, alongside introductions to Riak and Redis. Articles on native drivers, administration and building a blog show how database concepts enter practical programming work, while the wider selection makes room for both relational and NoSQL systems.

Meet more than one programming language

Separate sections introduce Erlang, Rust and Go, with material on functions, data types, modules, error handling, file input and output, networking and concurrency. This makes the issue useful for readers who want to see how different languages approach common programming concerns.

A reference section for the next question

Later pages revisit lists, objects, conditionals, variable scope, recursion, sorting, loops, compilers and common coding mistakes. That reference-style coverage gives readers useful topics to return to as they encounter new ideas or want to strengthen their grasp of the fundamentals.

For curious programmers and practical learners

The bookazine is suited to readers starting to explore coding and to hobbyists who want a guided survey of programming languages, data tools and project-oriented topics. Its breadth is part of the appeal: follow the Python material in order, or use the contents to find a language or concept that has caught your interest. 💻