If you’re looking for a great python alternative that is powerful, yet easy to learn, you should consider D programming language.
D is a great Python alternative and can be used for a wide variety of applications. The D programming language is easy to read and write and has a wide range of features that make it a great choice for any programmer.
In addition, D is a great choice for those who want to learn a new language or improve their programming skills.
This article will tell you why you should learn the D programming language but first, let’s discuss what is D.
What is D?
D is a programming language created by Walter Bright as an alternative to Python, C++, and Java/C#. D is similar to C++ in syntax and features, but the features are more powerful. For example, D has compile-time code execution and compile-time tuples, and even templates that are more powerful than C++ templates. D’s package manager, Dub, is also much simpler to use than C++’s package managers.
D is a general-purpose language but is often used for system programming, game development, and creating applications with graphical user interfaces. D is an object-oriented language and supports features such as inheritance, polymorphism, and templates.
It also has an automatic memory management system that prevents memory leaks. D is designed to be efficient and easy to use. It is portable and can be compiled into native code.
D has a growing community and is used by big companies such as Facebook, Microsoft, and Amazon. D is a great python alternative with much more efficiency and power. If you are thinking of switching your preferred programming language, D might be the right choice.
Benefits of D:
Here are some great benefits of using D along with some features. Check them out and see what makes D a great python alternative.
- The D programming language offers a fast, efficient, and expressive way to write software.
- D is compiled, statically typed, and garbage-collected.
- It has many features for metaprogramming, including compile-time function execution and type inference.
- D is also easy to learn for programmers coming from other languages.
- It has a focus on combining the power and high performance of C and C++ with the programmer productivity of modern languages like Python and Ruby.
- D is used in several high-profile projects, as one example we can mention that the D compiler part (LDC D compiler) of the LLVM compiler infrastructure, the GDC D compiler, and the DMD D compiler are written in D itself. D is also successfully used in a wide variety of applications, including web servers, wind turbines, video games, and scientific computing.
- D is an open-source project with a vibrant community that is constantly growing and improving the language.
Best Python Alternative
Python may be gaining popularity lately, but D is a great language for many tasks. Here are some of the key differences between the two languages.
- Write Correct Code:
D is a statically typed language, while Python is dynamically typed. This means that in D, you have to declare the types of variables before using them, while in Python the types are inferred automatically.
The dynamic nature of Python usually leads to many programming errors in Python code, while D usually catches such errors in the compilation stage. This makes it easier to write correct code in D.
- Faster Execution:
D is a compiled language, while Python is an interpreted language. This means that D code is compiled into an executable file, while Python code is interpreted by a Python virtual machine.
This can make D code run faster, but it also means that you have to compile your code before you can run it, however, D compilers are rather fast, almost on par with Python.
Also, D has better support for multithreading than Python, meaning that D code can take advantage of multiple cores on a CPU.
- Metaprogramming Support:
Metaprogramming is a way of writing code that can generate other code. This can be used to create code that is more flexible and easier to maintain. Metaprogrammed code in D runs faster while in Python, it is super-slow.
- Better Maintenance:
D makes code maintenance convenient. In Python, programmers make a lot of such errors that can be easily caught and resolved in D. One example of Python misdesign is that it does not always catch typos in identifiers.
D is a more expressive language than Python, making it easier to write robust code and simplify maintenance.
D has better support for parallelism than Python. Parallelism is the ability to write code that can run in parallel. This makes D a good choice for applications that need to take advantage of multiple processors.
This is important for many applications, such as video processing and scientific computing. If we talk about Python, it is unable to use multiple cores even for multithreaded programs.
D is a lower-level language than Python. This means that the D code is closer to the machine code that is run on the processor. This can make D code more efficient, yet not more difficult to write than Python code, except that you need to take care to specify types.
- Better Community:
D is an open-source language with a bright future, making it a good choice for projects of all sizes. D has a thriving community and ecosystem, with a wide variety of libraries and tools available. These libraries and tools can make the development faster.
So, which language should you choose? It depends on your needs.
If you need a language that is easy to write, quick-and-dirty (it suits very short programs), and you need a very wide set of libraries, then you should choose Python.
If you need a fast and reliable language and you don’t mind writing code with explicit types, then D is a good choice.
Also, If you need super-reliability, then you could choose Rust.
Both languages have their pros and cons, so it’s important to choose the right language for the task at hand.
The D Programming Language Course:
D is a programming language with many benefits for those looking to create software quickly and easily. The D programming course will cover all the basics of the language, from its syntax to working with the built-in libraries.
This course also covers additional author libraries. These libraries carry advanced features that you need for a good Python alternative.
To make sure that you learn the course properly, it also offers exams and certifications. So that by the end you will be able to create your programs in D and do a lot more.
If you want to know more and purchase the course, you can do that on the course page. Check out the course features and purchase now to learn D.