Python Basics

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We know that data science is popular today and that in the near future we are going to see many new updates in the data science market. In an earlier article written by our ATL Alumni team, we explained data science and mentioned all the basic things related to data science. We gave you the definition, courses, experience, and the current market scenario of data science. If you read the article on data science, you may have recognized that we discussed the different languages for data science and in particular, a language called Python. In this article, we will detail Python basics.
This article will clear all the basic questions about Python.

Introduction:

All the applications or software you run on your mobile phone or computer need a language to run. These days you can see so many programming languages like C, C++, JAVA, etc. These all are computer languages and human beings can read and understand these. Every language has different features which makes them different from each other. Like technology, these languages are constantly upgrading themselves. This up-gradation is needed to provide the best features to the users. One of the most popular languages is Python which is given the best rating by this programming community. Here, with this article, you will get an A to Z of Python’s basics.

What is Python?

When we talk about the different languages for data science, a trendy name comes to mind. We are talking about Python which is a prevalent programming language for data science with large libraries. With the help of Python, you can create a web application. You can create APIs and desktop applications. It also has an abundant number of web frameworks like Django and flask. It has numerous libraries like pandas, NumPy, dash, sky pi, matplotlib, Keras, TensorFlow, NVidia, Cuda which you will see in Python. In short, there are many more things in Python which according to the programmers comes at the best position. Python is a programming language like C, C++ & JAVA, but is much easier to learn and its syntax is unique. It may be the reason that people choose Python as the best programming language for data science.
Python is a good choice if you want to learn about all the libraries. With Python, you can implement some superior concepts in deep learning. It features automatic memory management and is why the maintenance and development cost of programming is less. It is a very strong language and many big companies like YouTube, Google, Instagram, Quora, and Pinterest use it.

This is Python’s history and how you can install Python.

Python’s History:

Guido Van Rossum discovered Python in the Netherlands in 1980 and after ten years, it launched. In January 1994, Python’s first version, Python 1.0, was released. Its second version, Python 2.0, was released in October 2000, but its third version Python 3.0, was released after a long time in December 2008. Then Python’s new version, Python 3.6.1, was released in March 2017. Because of its simple design, people can easily read and understand its code. The benefit is that you don’t have to pay anything to learn it, and you don’t need any license. The license is available freely to the general public and gives users the benefit to run and read software. Now you may question why it is named Python after a snake species. It is because its name was created from a comedy show which was Monty Python’s Flying Circus in the 1970s. Influenced by this, Guido Rossum likewise named his language. Now it is maintained by a code developed team that adds new updates and features in this programming language.

How to install Python?

By click here, you can install Python’s latest version. It doesn’t matter what system you are using. You may have Windows, MAC, Linux but Python is available for all the systems. After the installation, you will need an IDE. IDE’s full form is Integrated Development Environment. It is basically known as PyCharm. There is also another ID available for which you can use Python. We also will discuss that in this article.

What is PyCharm and how to install it?

To install PyCharm, click over here this link. PyCharm is an ID that gives us all the tools we need to do programming easily in Python. After this link, you will see an option to download PyCharm. You will decide what version you need because there you will get two options: professional and community. After that, again, under each version, you will see a download option. In this way, you can install Python with Pycharm.

What is Anaconda & how to install it?

Another ID is Anaconda. It is a distribution that supplies us with so many things together. As we have mentioned there are so many libraries in Python that Anaconda automatically gives us all of them. We don’t need to install these individually. It gives us an ID and gives us all certain libraries in a tool. This is the reason many personalities like to code Python in Anaconda. If you want to install Anaconda, you have to click here. You will then receive a download option. Anaconda gives you an assortment of Python, and it also gives a package of R programming language. In the next article of ATL Alumni Connect, you will get full details about this R programming language. In this way, you can install Python with Anaconda. It gives you an ID which is known as Jupiter Notebook. Jupiter Notebook is a browser-based interpreter that permits us to work with Python interactively.

Reasons for using Python:

It is a programming language that is object-oriented. This is an interpreted language which means you don’t need to compile by changing in a computer-readable format to run its written programming code. You have to convert shorts code into objects code to run, as this is an interpreter, people can run Python code on the correct computer. Today Python is the language most commonly used by programmers. Python is used to create System Software, Web Applications, Game Development, Application Development, Websites Creation, Computer Graphics, Server Side Programs, etc. You will be surprised to know that the Python programming language is also used in NASA to create equipment and space machines.
It is also used in data science and AI. Python’s standard library supports so many internet protocols like HTML, XML, IMAP, FTP, etc.

Features Of Python:

You can easily code it, read it and maintain it. The shortcodes of Python are freely available. The codes of Python are left open for everyone to reuse or modify. It is easily accessible and this is the reason Python language is called an open-source programming language. There are so many unique features of Python that make it completely different
and unique from any other programming language. Now we will discuss some of the unique features of Python.

  • Simple: This is a very simple language in this programming platform. People who are unfamiliar with programming languages can become a programmer after reading Python language.
  • Interpreted Language: We have to compile before running other programming languages like C, C++, Java, but here in Python, we don’t need to compile to run. An interpreter processes Python with code run time. It executes the programme’s code line by line at the same time. This is the reason people call this language as Script Language. But it is also true that Python is a little slow from other languages because it is interpreted.
  • Platform independent: Python is open-source and is available on many platforms like Linus, Windows, and Mac OS. You can run the code of Python on any platform.
  • Extensible language: Yes, this language is extensible. It means you can place other codes in Python. If you want a part to be executed fast, you can use C language to write that part. It is easy to merge Python with C and C++.
  • Large Standard Library: A large standard library is available in Python. In short, modules are available in a large library to perform so many tasks.

We have tried to give you all the information on Python basics through this article. If you think that it is useful, then don’t forget to share. Click over here to read an article, which gives an idea about AI vs Machine learning. Donations to help us improve our efforts to keep you informed are tax-deductible as we are a 501c3. Thank you for reading ATL Alumni Connect.


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