What is Python Programming Language ?

Python is an easy to interpret and high-level object-oriented programming language with easy-to-read syntax. Ideal for prototyping and ad-hoc tasks, Python has wide use in scientific computing, web development, and automation. As a general-purpose, beginner-friendly programming language, Python supports many top computer scientists and application developers globally

 

Want to hear a celebrity endorsement? Here’s Peter Norvig, the director of research at Google: “Python has been an important part of Google since the beginning, and remains so as the system grows and evolves.”

 

It is important to understand all aspects of Python as an open source programming language. We’ll discuss Python development, Python libraries, as well as some history and future trends. Read on to wrap your mind around this elegant, incredible language.

Why Developers Should Learn Python programming language

Python is the first language of many new programmers. In a college computer science course, it’s usually the first one introduced. Why?

 

For one, Python is readable. At times, it’s even close to English—with a little knowledge of the language, you can look through the code and get an idea of what it is attempting to do.

 

This is in contrast to other application languages of its generation, which tend to be more confusing. For example, compare these bits of code, both of which print “Hello, world!” to the computer’s console.

 

Here’s how Java does it:

public ic class Hello { public static void main (String[] args)

{ System.out.println(“Hello, world!”); } }

 

And here’s Python:

print(“Hello, world!”)

 

Which one would you rather use?

 

Python Forces You to Write Clean Code

In contrast to most other development programming language,  Python code depends on indentation. In short, you need to add spaces to lines of code within a given code block in a specific, predictable way. Otherwise, the code won’t run.

 

This can frustrate new Python programmers! For a beginner, Python syntax can indeed be frustrating at times. But after some practice with the language, most come to swear by it. Because your code obeys a predictable, visual logic, it becomes easier to read—both for other programmers who may encounter your work, and for yourself in the future!

 

Python Is Popular, Especially in Data Science and AI

A language could be the most readable in the world and still die forgotten. Many fields of computer science are like popularity contests: the most popular tools often end up being the best choice for the job.

 

Popular languages have a greater selection of libraries, which save a developer incredible amounts of time and effort. Popular languages also tend to have more tutorials and documentation, so you’ll be more likely to find solutions to your problems.

 

And if you have any interest in data science or machine learning, look no further. Python is the top choice of the AI and data science industries. This practically guarantees its survival.

 

What Can You Build with Python programming language ?

As a general-purpose language, the answer is: pretty much anything! Python excels when you have a complex task you need to simplify, a short script to run, or a large dataset you need to manipulate.

 

  • Simple scripts for automating workflows
  • Web scrapers to harvest internet data
  • Standalone binaries (i.e., apps) using Py Installer
  • High-powered web apps and REST APIs using Flask or Django
  • Machine learning programs and artificial intelligence
  • “Glue code” that connects software in different languages
  • Trading apps that manage money
  • Open-source software development

That’s only the tip of the iceberg! Python programming language is actively used across all domains of contemporary computer science. Since Python development is more efficient than most other languages it is a popular choice for startups, where changes to the codebase must be made quickly and cheaply.

 

It’s also a hit among scientists and mathematicians, with a number of powerful in-house libraries for statistics and complex math.

 

Where Can a Developer Learn Python programming language?

Also read: how to make the most of online courses to boost your career.

 

Like most other tech-related subjects, it’s easy and free to learn Python by watching tutorial videos on YouTube. We are living in a golden age of free online tutorial content. Brad Traversy is a leading figure in the field, but there is an almost endless selection of instructors to choose from.

 

Once you learn the basics, try testing your knowledge with some exercises. There are plenty of options here as well. Exercism is a great resource for a programmer looking to sharpen their talents. Exercism offers targeted challenges with mentors and fun testing using the command line.

 

If you want to dive deeper into data science, try out Kaggle. Most online data scientists swear by the platform as the foremost resource.

 

How about using Python on GitHub Even though there are plenty of sources to use and learn Python, for example, online reference books, video tutorials, and websites, developers can also count GitHub as a reliable source to learn Python.

 

Finally, the best way to learn any programming language, in the long run, is to build something meaningful with it. Try creating a web scraper, a simple API, or an automation script!

 

Also read:  how do I start a career in data science

 

Article credit: oracle.com

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