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There are many different coding languages out there that we are able to work with. Learning how these work and what they can help us to create is such a wonderful thing in the projects that we can create. However, we need to make sure that we are learning the right coding language for our needs.

When it comes to working with data analysis and all of the different parts that come with that process, the Python language is one of the best. Sure, there are other options out there that we can choose from, but none will provide us with the ease of use, the power, the different libraries and extensions, and more, that will truly make our data analysis shine and provide us with the answers and results that we need.

With that in mind, it is time for us to take a closer look at the Python language and learn a bit more about it. We need to learn the history of the Python language and why it is one of the best out there for us to learn from. In addition, we need to look at some of the ways that we are able to use the Python language in order to get the full use out of it as well. Let us dive in and see how this can work!

Python is a very popular programming language that is high-level and general-purpose. It was designed in 1991 by Guido van Rossum and then developed by Python Software Foundation. It was developed in the beginning with an emphasis on having codes that were readable to all, and the syntax was made to help programmers find better ways to express the concepts that they wanted in fewer lines of code.

During the late 1980s, history was about to be written brand new. It was during this time when some of the work on the modern Python language first began. Soon after this time, Guido van Rossum began doing some of the application based work in 1989 at the Centrum Wiskunde and Informatica, which was found in the Netherlands .

Working on the Python language was just a hobby project to get started because van Rossum was just looking for something that could capture his interest during the Christmas break. The programming language, which Python is known to have succeeded, is the ABC Programming language.

ABC was something that van Rossum had worked to create earlier on in his own career, but he had seen that there were a few issues with the features and more of this language. After some time, he decided that he needed to go through and make some changes to improve it, which led him to take the syntax of the ABC language, and some of the good features that were still found in it, and make it into something new.

The inspiration that is found with the name of this language was from Monty Python’s Flying Circus since van Rossum was a big fan of this and he wanted to come up with a name that was unique, short, and maybe even a bit mysterious for the invention he was working with on Python. Van Rossum continued to work as the leader on this language until July of 2018, but he was considered a benevolent dictator who allowed other developers to work on the language with many free reigns to give us the language that we know and live today .

The official Python language was released in 1991. When this release happened, it used a lot fewer codes in order to express the concepts of coding when compared with other languages like C++, C, and Java. The design philosophy that came with this was good compared to the others.

For the most part, the main objective that we can see with the Python language is that it was to provide readable code and a lot of productivity that was advanced for the developer.

The neat thing about working with Python is that it has something for everyone to enjoy along the way. There are tons of benefits that come with it, and it really does not matter if you have worked with programming in the past or not. You will still find something to love about Python, and it is something that is easy to work with for all levels of programming. Some of the different reasons why you may want to work with the Python language overall include:

While you are writing out some of the applications for the software, you will need to focus on the quality of source code in order to simplify some of the updates and the maintenance. The syntax rules of Python are going to allow you a way to express the concepts without having to write out any additional codes. At the same time, Python, unlike some of the other coding languages out there, is going to emphasize the idea of the readability of the code and can allow us to work with keywords in English instead of working with different types of punctuations for that work.

Because of this, you can get a lot more done with Python. It is possible to work with Python in order to build up some custom applications, without us having to write additional code. The readable and clean code base is going to make it easier to maintain and then update the software without having to go through and add in more time and effort to the process.

Another benefit that we will see is the multiple programming paradigms. Like some of the other coding languages that we can find, Python is going to support more than one programming paradigm inside of it. This is going to be a language that can support structured and oriented programming to the fullest. In addition, a language will feature some support for various concepts when it comes to functional and aspect-oriented programming.

Along with all of this, the Python language is going to feature a kind of system that is dynamically typed and some automatic management of the memory. The programming paradigms and language features will help us to work with Python to develop complex and large software applications when we would like.

Right now, Python is going to be able to support many different operating systems. It is even possible to work with interpreting to run the code on some of the specific tools and platforms that we want to use. In addition, since this is known as a language that is interpreted, it is going to allow us to go through and run the exact same code on many different platforms, without the need of doing any recompilation .

Because of this, you are not required to recompile the code when you are done altering it. You can go through and run the application code that you modified without recompiling and checking the impact of the changes that happened to that code right away. The feature makes it a lot easier to go through and make some changes to the code without having to worry about the development time along the way.

The standard library that works with Python is robust and has many different parts that go with it. The standard library is a good one to provide us with all of the modules that we need to handle. Each module is further going to enable us to add some of the functionality to the Python application without needing to write out the additional code.

For example, if you are using Python to help write out a new web application, it is possible to use some specific modules to help with the web services, perform operations on strings, manage the interface of the operating system, or work with some of the internet protocols. You are even able to go through and gather some of the information on the other modules through the documentation of the Python Standard Library.

Python is seen as a programming language that is general purpose in nature. This means that you are able to use this language for all of the different processes and programs that you want to, from web applications to developing things like desktop applications as needed. We can even take it further and use this language to help develop complex scientific and numeric applications.

Python was designed with a lot of features that are there to facilitate the data analysis and visualizations that we will talk about in this guidebook. In addition, you can take advantage of these features in Python in order to create some custom big data solutions without having to put in the extra effort or time.

Along the same lines, the libraries for data visualizations and APIs that are provided by Python are going to help us to visualize and present the data in a more appealing and effective manner. Many developers of Python will use this to help them with tasks of natural language processing and artificial intelligence .

As we can see, there are a number of benefits that we are able to enjoy when it comes to using the Python language, and this is just the beginning. As we go through and learn more about how to work in this language and what it is able to do for us. We are able to see more and more of the benefits at the same time, and it will not take long working with your own data analysis to understand exactly how great this can be for our needs.