When we listen to the word python in our mind, the first picture comes of a python snake, but in the world of coding, python is a coding language as fast and dynamic as a python snake is in animals.

Python is an interpreted, high-level and multi-purpose programming language. Created by Guido van Rossum and first came to work in 1991. Python's design philosophy emphasizes code readability with its notable use of significant whitespace in the programs. Its language constructs and object-oriented approach aim to help programmers write clear and logical code for various small and large-scale projects.

Python is dynamically typed and garbage-collected. It also supports multiple programming paradigms, which include structured (particularly procedural), object-oriented, and functional programming due to its comprehensive standard library.

Versions

In most programming languages, whenever a new version is released, it supports the features and syntax of the existing version of the language. Therefore, it is easier for the projects to switch in the newer version. However, in the case of Python, the two versions Python 2 and Python 3 are very much different from each other.

If a person is a non-programmer and does not have much knowledge about the programming language, he can easily start with python and can learn basic core python within a month or two. When a person starts coding in python, he keeps on liking it and goes a long way in this language.

Python is one of the most used and rapidly growing technologies in the IT industry, and it has branches present in data analysis, machine learning, and artificial intelligence.

Now you will be thinking of that how and where we can download python and how you can start using this programming language.

How to download Python

To download python, you can visit python's official website, which is https://www.python.org/. When you visit there, you will find various things about python, and one of them will be the download section. You can click on the link above and download Python. When you install the downloaded package of Python, Python's idle will automatically be get installed in your start menu, and there you can start typing your code and can learn python programming.

Attached above is the screenshot of how the code is illustrated in Python's Idle. The Idle displayed above is Pycharm. There are other various Python Idles that you can find online. You may take references about various functions and different commands present in python from Python Docs.

Now once you have installed Python, open the idle that will be present in the start menu and start typing your code.

For example,

• you can start with a = 5, b = 7 and c = a + b and type print(c), and you will get the result 12 for this in the next line of your idle.

You can also try this when you install python on your PC, and you can also perform other calculations like multiply divide or modulus, that is, the remainder of two variables, and you will see that all that things will work very easily in your python idle.

Now when you start working on python, you will see that there are minimal functions that you can perform on python idle, and to perform more on python, you will require a python ide or a different python software to make games or vast programs in Python.

Python Program

Unlike other programming languages, Python provides the facility to execute a code in a few lines only.

For example,

• Let's assume that we want to print the "Hello World" program in Java, then it will take three lines to print it like given below:

Java Code

Python Code

On the other hand, in Python, we can do this in one statement itself:

Both programs will print the same result, but it takes only a statement without using a semicolon or curly braces in Python (statements depend upon the type and length of the code. For the above example, it only required 1 statement).

Syntax

There is no use of curly braces or semicolons in Python programming language. It is an English-like language. But Python uses indentation to define a block of code. Indentation is nothing but adding whitespace before the statement when it is needed. For example,

In the above example, the statements that are the same level to the right belong to the function. Generally, we can use four whitespaces to define indentation.

The importance of Python

Python provides many useful features to programmers. These features make Python one of the most popular and widely used languages. We have listed below few-essential features of Python:

• Object-Oriented Language


• Open Source Language


• Easy usage


• Easy to Learn


• Provides Standard Libraries and Frameworks widely


• Provides GUI Programming Support


• Expressive Language


• Interpreted & Integrated Language


• Extensible Capability


• Dynamic Memory Allocation

Python Applications

Python is a general-purpose, popular programming language, and it is used in almost every technical field. The various areas of Python use are given below.

• Data Science


• Data Mining


• Enterprise Applications


• 3D CAD & CAM Applications


• Desktop Applications


• Console-based Applications


• Mobile Applications


• Software Development


• Artificial Intelligence


• Web Applications


• Machine Learning


• Deep Learning


• Image Processing Applications


• Speech Recognitions

Python In Data Analytics

As discussed above, Data Science is one of the majorly Python-based fields.

Data Science is the domain of study comprehended of maths, statistics, specialized programming skills, and emerging technologies like Artificial Intelligence and Machine Learning to generate the hidden insights of an organization intending to procure relevant information and subsequently make decisions for the organization.

Data science has recently evolved as one of the most desired technology, with exposure to tremendous top-notch job opportunities that forecast future advancement.

While analyzing data, we need a comparatively strong command of programming as in businesses, the amount of data is extremely heavy, which Excel itself can't handle. Therefore, we need Python for data analytics as it has in-build libraries that help manage and create data structures very easily and quickly.

The data analyst industry has rapidly expanded over recent years and is on the market boom. There are various data analytics companies worldwide. Many organizations have acquired analytic business intelligence to boost sales and expand their organization's value and network.

Many companies in the market have introduced big data consulting processes and other new analytical methods into their organization.

Kockpit is an emerging data analytics company that provides Microsoft Power Bi consulting services and Business intelligence solutions to various companies on different platforms. They analyze their insights and produce hidden patterns and result-based strategies.

Python Frameworks, Libraries, and IDEs

The four most-important Python libraries are NumPy, Pandas, Matplotlib, and Scikit-learn. They have been briefly discussed below:

NumPy:

Numpy is a popular Python library specifically developed to handle a variety of mathematical and statistical operations. Many features of the Pandas library are based on this library.

Pandas:

Pandas is another popular Python library designed precisely to work with data and its architecture. Various types of Data Science projects are performed involving this Python library.

Matplotlib:

Matplotlib is a DataPower bi-embedded portal visualization and plotting library which can easily generate object-oriented charts and graphs from the data initially provided.

Scikit-learn:

Scikit-Learn is widely recognized for its usage in machine learning-based projects and tasks.

Conclusion:

Among major programming languages, Python, is the newest. Thanks to its flexible and reliable inbuilt functions and libraries, Python has shown great potential in the upcoming technologies and is the future of Data Science.