Google Go is a statically typed, compiled programming language that aims to combine the ease of programming of Python with the performance and safety of languages like C++. It's open source, has built-in concurrency features, fast compile times and garbage collection.
Google Go: Statically Typed, Compiled Programming Language
Google Go combines the ease of Python with the performance and safety of C++ for a statically typed, compiled programming language with open source, concurrency features, fast compile times, and garbage collection.
What is Google Go?
Google Go, or Go, is an open source programming language initially developed by Google in 2007. It's a statically typed, compiled language that aims to combine the ease of programming of interpreted, dynamically typed languages like Python with the performance and safety of compiled statically typed languages like C++.
Some key features of Go include:
Statically typed - Variable types are known at compile time which leads to more reliable and scalable programs
Compiled language - Can be compiled to standalone machine code resulting in fast and efficient programs
Garbage collected - Automatic memory management helps reduce bugs related to manual memory allocation/deallocation
Built-in concurrency - Lightweight processes called goroutines and channels help write concurrent programs more easily
Fast compile times - Programs typically compile extremely quickly, improving programmer productivity
Go was designed at Google for building reliable infrastructure components. It has since become a popular backend language for web services. Key companies that use Go include Docker, Dropbox, Twitch, Uber and CloudFlare. Go is a good choice for building network-based, CPU-intensive backend applications that require high performance and reliability.
Google Go Features
Features
Statically typed
Compiled language
Fast compile times
Built-in concurrency features
Garbage collection
Open source
Pricing
Open Source
Free
Pros
Performance and safety of compiled languages like C++
Ease of programming like Python
Fast compilation speeds up development
Concurrency features make it good for parallel computing
Garbage collection automates memory management
Cons
Being statically typed can require more code than dynamic languages
Still relatively new language with smaller community than older options
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