Learning something is of great importance and that is what I too believe in. What I believe is, know just a little more about what we are learning can make it fun and bolster our determination in choosing and learning that thing. When we know something, say a little history or some fact can help us connect with it emotionally. Connecting emotionally will help things stick for longer in our beautiful minds.

The Mind behind your favourite programming language

Guido van Rossum created Python. It was designed to be a general-purpose language that could be used for a wide range of tasks.

Python has been around for over 30 years. It was created in the late 1980s. Guido van Rossum is a Dutch programmer who was working at the National Research Institute for Mathematics and Computer Science in the Netherlands at the time.

How a man's need became a popular tool for individuals with a passion for programming. If it wasn't for his problem in his project, it wouldn't be created, and you wouldn't have it. Such is the beauty of randomness in life. We never know when a hurdle becomes a milestone. This is what happened in Van Rossum's life. He was inspired to create Python while working on a project that required him to interface with the Amoeba operating system. He found the existing scripting languages at the time to be too complex and unwieldy for the task, so he decided to create his own. He named the new language Python as a reference to the British comedy group Monty Python, of which he was a fan.

Why it got popular and powerful?

Python's first official release was in 1991, and it quickly gained popularity among programmers for its simplicity and readability. One of the key features of the language is its use of indentation to indicate code blocks, which makes the structure of the code more obvious and less prone to errors.

In the early years, Python was primarily used for scripting and automation tasks. However, as the language evolved and more libraries and frameworks were developed, it became a powerful tool for a wide range of tasks.

In the 2000s, Python began to gain popularity in the scientific and data analysis communities, thanks to the development of powerful libraries such as NumPy and pandas. These libraries made it easy for scientists and data analysts to perform complex calculations and manipulate large datasets.

Its increasing popularity

In recent years, Python has also become a popular choice for machine learning and artificial intelligence tasks. Libraries such as scikit-learn and TensorFlow have made it easy for developers to implement complex algorithms and models, further increasing the popularity of the language.

Today, Python is one of the most popular programming languages in the world, and it is used in a wide range of fields, including web development, data science, scientific computing, artificial intelligence, and more. With a large and active community, the language continues to evolve and improve, making it a great choice for both beginners and experienced programmers.

Something that will inspire you to learn this language

Many large companies use Python in their technology stack, due to its versatility, readability, and large number of libraries and frameworks available. Some notable examples include:

• Google: Python is one of the main programming languages used at Google. It is used for a wide range of tasks, including web scraping, data analysis, and machine learning. The company's search engine, YouTube, and many other products are built using Python.

• NASA: Python is used extensively at NASA for a variety of tasks, including scientific computing and data analysis. NASA's Jet Propulsion Laboratory uses Python for the Mars Rover mission and other space exploration missions.

• Spotify: Spotify's backend is primarily built using Python, and the company uses the language for a wide range of tasks, including data analysis, machine learning, and back-end services.

• Netflix: Netflix uses Python for a wide range of tasks, including data analysis, machine learning, and back-end services. The company has also developed several libraries and frameworks that are built using Python, such as the Metaflow library for data science and the Monocle library for debugging.

• Dropbox: Dropbox uses Python for a wide range of tasks, including back-end services, data analysis, and machine learning. The company has also developed several libraries and frameworks that are built using Python, such as the Pystache template engine and the Pyston JIT compiler.

These are just a few examples of the many large companies that use Python. Other notable examples include Uber, Facebook, Instagram, IBM, and Cisco. Python's popularity in industry is continuously increasing due to its simplicity, expressiveness, and the wealth of libraries and frameworks available to support various use cases.

From the author of this post

Hope this post inspired you a little to take up this language. Thank you for your valuabe time!

I hope you liked the post, in the upcoming posts in this series, I will talk about Python and its nuances. Stay tuned until the next one! It is going to get a lot of fun and easy-to-read blog, imagine it like a tweet thread sized tech-blog-post on Hashnode but away from random distractions on Twitter! Short, concise, and loaded with information. Just like concentrated vitamin pills.

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