Why Use Python?

As software and app development, especially in the AI/ML space, becomes more and more advanced, it might be necessary to take a step back and look at some of the building blocks that can be used to create these solutions, such as Python.

You’ve probably heard of Python by now, but what really is it? Simply put, Python is a general-purpose programming language that is easy to read and write.

Easy to Read and Write

Python is written similarly to how one would naturally speak, which makes easy to code with, read, and debug, at least in comparison to other programming languages like JavaScript, C, Java, and others. A lot of this is attributable to Python’s simple syntax, intuitive keywords, and the choice to use indentations (negative space) instead of curly brackets to denote code blocks. All these design choices result in “cleaner” code. To see it yourself, see it below in the code comparing simply creating a class and instantiating an object in Java vs. Python

why use python

General Purpose

Python is a general-purpose programming language. This is opposed to say the R programming language, which is built specifically for statistical computing. What this means is Python can be used for many purposes, such as:

  • Web development
  • Machine Learning
  • Application Development
  • Data Analysis

Why Wouldn’t I Choose Python?

Python is pretty great, but that doesn’t make it the best choice for every application. For instance, Python is notorious for being slow, we want dig into what is meant by this. Characterizing the entire language as slow without context doesn’t share enough of the picture.

Python is dynamically typed.

  • This doesn’t refer to your keyboard typing but rather setting the type of a variable when instantiated
  • C, Java, and others are statically typed, so variable types must be explicitly set and maintained, otherwise compilers will throw errors

    • double this_number = 3.1415
  • For Python, dynamically typing means variables don’t need to be set, they’re inferred by the Python interpreter and can change when wanted

    • this_number = 3.1415

While Python may not be the fastest language out there, its ease of use and versatility make it an excellent choice for a wide range of applications.

Why Choose Python?

Python is a versatile and powerful programming language that has gained immense popularity among developers for numerous reasons. Here are three factors that make Python an excellent choice for programmers:

1. Python is renowned for its simplicity and readability. Its clean and intuitive syntax allows developers to write code that is easy to understand and maintain. This simplicity makes Python an ideal language for beginners, as it reduces the learning curve and allows them to focus on problem-solving rather than intricate syntax details (in the consulting world, that is critical).

2. Python boasts a vast and active community, which is a significant advantage for developers. The Python community is known for its inclusiveness and helpfulness. It provides extensive documentation, tutorials, and a wealth of open-source libraries and frameworks, such as Django, Flask, and NumPy. These libraries enable developers to leverage existing code, saving time and effort in the development process.

Additionally, the active community means that developers can find support, share knowledge, and collaborate with fellow programmers, fostering a collaborative and dynamic environment.

Smartbridge has deep experience with Python

3. Python’s versatility and extensive range of applications make it an attractive choice for various domains. It is a general-purpose programming language, meaning it can be used for web development, data analysis, scientific computing, artificial intelligence, machine learning, and much more.

Python’s versatility is further enhanced by its ability to integrate with other languages seamlessly, allowing developers to combine Python with C/C++, Java, or other languages to leverage their strengths. This flexibility empowers developers to tackle a wide range of projects and makes Python a go-to language for diverse applications.

In summary, Python’s simplicity, vibrant community, and flexibility make it an excellent programming language for both beginners and experienced developers. Whether you’re building a web application, performing data analysis, or diving into the world of artificial intelligence (specifically deep learning as we do here), Python provides the tools, resources, and support needed to bring your ideas to life efficiently and effectively.

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