Attracted by high salaries and endless opportunities for professional growth, lots of people are excited to start their programming career. And here comes the toughest choice: what programming language to learn. Many people get to choose from the most commonly used programming languages, such as Python language, Java, JavaScript, and such. In this article, we are going to focus on the history of Python and the specifics of this language. 

Python language is in high demand

If you ask the question “is Python a good first language?” the answer will be positive. Because popularity increases relevance, more firms are likely to use Python, according to the statistics. And ultimately, this will increase the demand for Python expertise. If you are interested in coding, a safe place to start is with Python.

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Learning Python can be beneficial for you in a variety of situations, even if you're not a coder. In booming tech industries like big data, machine learning, and data security, Python is already king. Python is also used in colleges and universities. All of these fields make heavy use of Python. They even use their own set of libraries, which operate as code extensions that can be added on to create functionality. 

A brief history of Python

In the late 1980s, Guido van Rossum first conceptualized Python. It was initially created as an analog to the ABC programming language, which was prominent in the Netherlands as well. Python's exception handling and focus on the Amoeba OS were two of its key advantages over the ABC language. The word "Python" does not refer to a snake. It bears the name of the British television program Monty Python.

Python 2.0 was made available in 2000. It was primarily an open-source project in this iteration. List comprehensions, a complete garbage collector, and Unicode support were all features of this Python version.

The key characteristics of Python

• High-level. Python was designed for programmers who like having their written code transformed into a low-level programming language because it is high-level. In order for Python to be portable—and run with little to no alterations on various types of computers—it also needs to be processed before executing.
• Object-oriented. Python uses a powerful object-oriented approach to code organization, which enables thinking about issues in terms of objects and classes. A procedural approach is also supported by Python. Coding patterns that can be reused by other developers can reduce duplication in development efforts.
• Interpreted. Python does not require the compilation of programs before execution. Therefore, you do not need to use a compiler to convert input data to compiled class files. Instead, the a.py file is executed. The compilation of Python's bytecode is also automatic and totally implicit.
• General-purpose. Python can be used to build almost any app including almost any field for a variety of activities. Python can be used to do both short-term tasks, such as the testing process, and long-term duties, such as long-term product development and roadmap planning.

Because of this, the computer language is well-known among experts in a variety of disciplines, including physics, math, systems engineering, data processing, and mathematics, in addition to software developers. Additionally, Python is a scripting language that is user-friendly for beginners.

Is Python really that easy to learn?

One of the greatest programming languages for newbies is really Python. Its syntax is comparable to that of English, making it rather simple to read and comprehend. Even if you've never typed a single line of code before, you can learn how to write Python with a little time and effort.

The idea that programming involves a lot of math is a widespread one. Python doesn't require you to be an expert mathematician to use it. It is beneficial to have a foundational knowledge of mathematics. It's more important to be able to solve problems creatively by separating them into smaller pieces than it is to be able to write Python.

How much time does it take to learn Python

Learning the basics of Python typically takes two to six months. However, you can quickly pick up enough knowledge to create your first brief program. Learning how to use Python's extensive collection of libraries may take months or even years.

How much Python you really have to know to complete your intended task will determine how long it requires you to learn Python, among other things. For instance, you can probably learn Python more rapidly if your goal is to automate a certain task at work rather than learn Python in order to become a data analyst.

Final thoughts on learning Python

Learning Python is one of the fastest and easiest ways to become a programmer. This language is one of the simplest and most demanded as it lets create different types of applications in various industries. And don’t forget to use VPN apps while coding since they are very helpful in enhancing your online security.