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Python is an all-rounder, which is no surprise since it is popular with professionals. Python is used in many places and for many different things. It's important to know a little bit about it.
Here we will review all things Python, including its history, reasons why it is so popular, careers that require Python, and much more.
What is Python?
Python is a high-level, object-oriented programming language. This language is object-oriented, meaning it's based on objects (such as data) and not functions. It's also high-level to make it easy for humans.
Take YouTube, for example, or the search engine processes as an example.
Python is used for creating web and mobile applications, AI and machine learning (ML), data manipulation and analysis and more.
Why is Python so Popular?
Python has consistently been rated as the most popular programming language in the world. Python ranked first in the TIOBE Computer Programming Index, which is an indicator of language popularity.
In Stack Overflow's 2021 Developer survey, Python claimed the fourth position for the most popular language. 41.53% (mostly web developers) use Python.
Let's look at the reasons why Python is so popular.
Python Is A Versatile Language
Python is a general-purpose language that can be used to create and do many things. Python can be used by a data scientist to manipulate data or create visualizations, while a professional developer could use it to build a website. Here we cover the use cases of Python in greater detail.
Python Is Easy To Learn And Simple
Python is a great language to learn if you are new to programming. Python's syntax, commands, and layout are all English-based. This makes it easy for anyone, no matter how experienced, to understand the code.
Python's simplicity makes it the perfect language for rapid development.
Python Is An Open-Source Language
Python is open-source and free to anyone. This also has the added benefit that anyone can develop additional tools, frameworks, and libraries for Python, which other users can use. There are Python libraries that cover everything from cryptography to chatbots.
The vibrant community of Python users is helping to further the language's functionality and applications.
Python Is Used
Also, there's the issue of ubiquity. Python is used in many technological solutions and by many businesses. Knowing the language becomes even more important to developers and programmers who want to get hired or understand how solutions work.
This means that more people are familiar with Python, and more of them will use it in their projects or suggest it to other people.
When was Python First Created?
Python was created in the late 80s. The original intention was to replace the ABC programming language, another general-purpose programming language developed by the Centrum Wiskunde and Informatica in the Netherlands.
ABC was created to replace BASIC - an early programming language dating back to 1964 - a technical term that is practically the dark ages!
ABC was a high-level programming language that had a limited impact. Its use was mostly restricted to instructional purposes. ABC's biggest claim to fame, in many ways, is that it was the inspiration for Python.
The history of Python is closely tied to ABC because the creator who invented Python spent several years working for ABC.
In 1991, the first version of Python was released on alt. sources. This is an online group that allows users to post source code. This release had a module-based object-oriented system. It included functions, exception handling, and core data
Who Invented Python?
Guido van Rossum created Python while he worked at CWI. Van Rossum worked on the ABC language but had some complaints.
It was impossible to extend the ABC language (or its implementation) to remedy my complaints - in fact, its lack of extensibility was one of its biggest problems." The ABC language was not extensible, and this was one of the biggest problems.
Van Rossum was working at CWI when he developed Python. Mark Lutz writes in the preface of Programming Python that van Rossum was bored during the holidays and started working on Python as a hobby.
The Python inventor spent most of his career working on the language. He retired as a 'Benevolent Dictator for Life" in 2018. Van Rossum's creation of Google Mondrian is also credited to him. This code-reviewing tool, which is still in use today, was created by Van Rossum.
Van Rossum is not as well-known as some of the other major contributors to the technology world, like Steve Jobs and Bill Gates. However, his work has had a significant impact on software development and, therefore, on technologies in general.
Fun Fact: Van Rossum called his language Python because he loved the British sketch comedy troupe Monty Python. He was also in an "irreverent" mood.
Python's Evolution Over The Years
Python has undergone many changes in its life, which is not surprising considering that it was originally van Rossum's personal hobby project. It then became one of the most popular programming languages around the world.
Here are some of the ways we've seen Python adapt to the needs of developers and advancing technologies.
Python Frameworks, Libraries And Packages
The Python community has grown rapidly since its release. This has also been reflected in the increasing number of libraries, frameworks, and tools available to perform a wide range of tasks.
In the years following Python's 1991 release, AI and ML have become essential tools. Python's community has responded by creating libraries and popular packages with AI and ML as a focus.
Timeline Of Python Versions
- 1991 - Python 0.9.0 version is released for the public.
- Python 1.0 was released in 1994 with some significant updates, including functional programming features (lambda reduce filter and map). It was a scripting language that offered an alternative to Perl.
- In October 2000, Python 2.0 was released after the core team of developers founded BeOpen PythonLabs. This version was the first to introduce Unicode strings, list comprehensions and garbage collection (a form of automated memory management for reference cycles).
- In December 2008, Python 3.0 was released (also known by the names Python 3000 or Py3K). This version was designed to fix any flaws in the 2.0 versions while remaining true to Python's principles. To keep Python as simple and straightforward as possible, duplicate constructs and modules have been removed.
Python 3.0 was a major departure from previous versions in that it is not backward compatible. line of Code for Python 3 versions is not compatible with Python 2 versions. The Python 2.0 version was scheduled to end in January 2020.
Between these releases, there were also other updates that offered new features and/or changes.
A programming language evolves as it is used. Python is on a similar path. Older terms are being replaced by modern ones.
Python and the Rise in Data Science
Data science is one of the newer fields of study that have emerged in today's society.
Scientists and data analysts use math, statistics and programming to make sense of data. The findings of data analysts and scientists are used to help businesses succeed or even help governmental agencies understand issues.
Python is one of the most popular programming languages in data science. Python's complementary nature has led to its popularity and increased use.
What can Python do for you?
What can Python's code not do?
Python has many other uses. It is often used for coding sites, apps, data, AI and ML projects and tasks.
Take a look at some of the surprising ways Python can be used.
Data Visualization and Analysis
Python is a great tool for data science in general. This includes data visualizations and analytics. Analysts can use Python to sort, manipulate and extract high-level insights from data. The language can be used to create visuals that showcase their findings.
Python has a number of libraries and frameworks that are used for data analysis and visualization. These include Pandas Visualization and Matplotlib, to name a few. Python can be used to create a simple graph or a complex report.
Python's popularity is also due to the fact that it is easy to use. Python is user-friendly enough for people with no computer science background to learn it quickly.
Cisin specializes in teaching employees and individuals at large companies like Python and other data-science languages.
We offer a variety of Python courses and skill tracks to help you get started in a career as a data analyst. Please click here to see our course offerings.
Programming Applications
Python is a powerful general-purpose language that can be used for a wide range of applications on the web and mobile, from financial services to F1 racing games.
Python is used for many other things, including creating GUIs and APIs. You can probably build almost anything you can imagine (or many of its key components) using Python.
Machine Learning and AI
Python is flexible, stable, and simple. It's, therefore, the perfect programming language for AI applications that involve complex and sophisticated algorithms. Python enables AI and ML specialists to create code that is reliable, readable and allows for fast prototyping.
Its simplicity also allows AI and ML developers to spend more time developing algorithms and heuristics rather than hunting down syntax mistakes.
Many Python frameworks and libraries are available for AI and ML, including sci-kit-learn and TensorFlow. It is easier for developers.
Fintechs and Financial Analysis
Python has become one of the most popular programming languages in recent years. Python is particularly good at quantitative and qualitative analyses and can handle large data sets.
Python can help finance professionals automate tasks that previously took a long time to complete: managing a portfolio of stocks, tracking the stock market, and visualizing trends in stock prices.
Python is a popular programming language for creating fintech products (financial technologies). Python is used in the core technology stacks of popular fintechs such as Venmo, Robinhood and Affirm.
Python is the perfect choice for fintechs, which are usually ambitious projects. Its code is scalable, simple and mature. There are also many ready-made components and libraries.
Search Engine Optimization (SEO), Marketing
Digital marketing and SEO are two of the most interesting new ways that Python is used.
Python is not only useful in these areas, but it can also help SEO and marketers with other tasks, such as categorizing and analyzing keywords, extracting data and implementing changes on multiple web pages.
NLP technologies have also emerged and are having an impact on SEO professionals. Python includes a number of libraries and frameworks that are useful for NLP. One such library is SpaCy.
Many SEO professionals prefer Django because it simplifies the technical SEO optimization process.
Game Development
Python is not the most popular or common programming language used for games. Not many games are entirely written in Python. It's used for many other tasks by developers, including linking C++ and C++ modules.
Unknown Horizon is a great example of a complete game built with Python. Most games are multi-language, and famous games such as Sims 4 or Battlefield 2 use Python for important elements like game logic.
PyGame is a set of Python modules that are cross-platform and designed to help developers create video games.
You can also Design Your Own
Python is an excellent language for developing graphic design software. It is used in popular 2D images software such as Gimp and Paint Shop Pro. DrawBot is a popular, open-source program that allows users to create 2D graphics with Python code.
Python is a great tool for graphic designers working with digital images or websites.
Python is also used by 3D animation programs such as Blender, Lightwave, and Lightwave.
Use this as a base for learning other languages
Python's clarity and simplicity are highly regarded. Python is so popular that it has inspired other programming languages. Go (Golang) and Cobra use a syntax that is very similar to Python.
Python is also an excellent way to get started in coding because it's simple to learn. After you've mastered Python, it will be easier to learn new programming languages.
Here Are 11 Advantages Of Python That Will Help You Decide Whether It Is The Excellent Tool For Your Project
Here are the advantages of python listed below
1: Easy to Learn
Python is one of the easiest languages to learn.
You will save time by choosing a language you can quickly learn. You will then have more time to learn how to code and create useful things.
You know what else?
Python is a language that anyone can learn. It only takes a little patience and practice. Python is easier to learn than many other programming languages because the code is easy to read.
2: Support
You will run into difficulties when you begin to learn how to code. But you'll overcome them!
No matter how well you learn new things, your code may not always work as intended.
What can you do to learn Python?
Python's popularity around the globe is one of its biggest advantages.
The TIOBE Index, for example, ranks programming languages according to the number of hits on search engines.
According to the latest TIOBE report, Python is on the Rise. It is currently the most popular programming language in the world.
Python is used by thousands of people around the world. Chances are, someone has asked the same question before. You may be able to find the solution faster than you thought by simply typing your query into Google.
3: Global Community
You can rely on the global community to help you with your Python project. Because so many developers are using Python, you will be able to find solutions quickly and easily. You can also easily connect with other students and professionals who share your interests.
4: The Most In-Demand Skills On The Job Market
You're likely to be motivated to learn how to code because you can expect to have a great career in the future. Money is not the only thing that should motivate you. But it can be a nice little carrot to keep you going in difficult times. Python has been the most requested language for five years in a row. It means that developers, who haven't used Python yet, want to.
It remains to be seen if its popularity will lead to a decrease in average salaries. The growing number of developers who are learning the language and looking for jobs can lead to downward pressure on the average salary.
5: Comprehensive Libraries
You'll probably use at least one Python library when you begin your first coding skills project. Libraries are collections of Python code that you can use to achieve specific goals. Libraries are a great way to avoid repetition since you will be repeating code in most of your programs.
The Python standard library offers a variety of modules that you can choose from depending on what you require for your project. Each module allows you to add features or functionality to your Python code without having additional code.
Let's say, for example, that two developers wish to create a web-based application. They will use similar Python code to create specific features on their dynamic web pages.
6: Powerful Frameworks
You can also choose between several open-source Python Frameworks to speed up your workflow.
You can save time by using Python web frameworks like Django and Flask to create a web app. These frameworks contain ready-to-use Python code to perform standard web application functionalities such as creating user accounts and managing them.
You can also speed up the development of desktop GUI apps using Python frameworks and tools such as PyQT or PyGUI.
You can finish your projects quicker if you have access to popular Python Frameworks. Faster development allows you to take on more projects or spend more quality time with your family and friends.
7: Works On Any Computer
You don't have to worry about what operating system and computer you are using to learn Python.
Python runs on all machines, including Macs, Windows, and Linux. This means you can use Python code on different platforms without having to change the code.
This is especially useful if you are working on a Python project on a large scale with other developers. You can all work together, regardless of whether some people use Windows and others Mac. No matter what OS you use, everyone can read, run, and write the same code.
8: Versatility
You need to select the programming language that is best suited to the type of project you plan to undertake in the future.
The truth is that any high-level language is just a tool to achieve a goal. You can solve certain types of problems using code.
Programmers are required to know different languages depending on their job. If you're interested in software development, then you will learn a different programming language from game development.
Python is a very flexible language. It's not as restrictive as other languages.
Python's versatility and flexibility are one of its most important advantages.
9: Productivity, Workflow and Speed
You will be able to create more complex projects as your coding abilities improve.
When it comes to big-scale projects, all programming languages may not be created equal.
If you are working with a team of designers and developers on a project, your language should support their workflow.
Python is a great language. Python is easy to use and has a strong text processing and integration feature.
10: Fast Prototype Development
Python is easy to use and learn.
Imagine you are creating a web application and need your MVP to be up and running quickly. Python can be used to quickly create a web application.
When I first started to learn to code, one of my first projects was to create a small web app using Python and Django.
I created a simple web application much faster than I thought I could, even though I had no experience with coding.
Python Basics and Advanced Python
Python is easy to use. Python is easy to learn and can be used by anyone, even those without programming or coding knowledge.
Let's say, for example, that an office worker is looking for a way to perform routine tasks faster. For instance, renaming large numbers of files. Python could be used to create a simple script that does this for them. Marketers could use Python to send emails at predetermined intervals to customers.
There's a huge difference between what can be done with basic Python and what can be achieved with intermediate or advanced Python skills.
It's like playing the keyboard. Some of us were taught chopsticks by our parents as children. However, some of us have gone on to become concert piano players who can play Rachmaninov with ease.
They only achieved this level of success by practicing and building up their skills over time.
It's likely that they also started out with chopsticks.
Python is very similar. You begin with the basics and then build on your knowledge until you reach virtuoso status. Many experts say you can never stop learning a new programming language because there is always something to learn. Even if you can code with your eyes closed, there are always new applications or ways to use a language.
cisin is a great resource for anyone who wants to learn Python.
We offer Python courses that are tailored to specific careers and for all levels of users, from beginners to experts.
Python Summing Up
Python is a powerful and flexible programming language. Python is also intuitive, allows rapid development, and is easy to learn. Python is used by a wide range of businesses and industries to power their technology. Its popularity and use are expected to increase in 2023.
Anyone can benefit from learning how to program in Python, but for those who wish to be well-rounded data scientists, AI engineers and ML engineers or other professionals, it is essential.
Python is a versatile language that can be used in a wide range of jobs. However, they all have something in common: impressive salaries. It's partly because there aren't enough Python programmers to fill the available positions.
Learning Python can be the key drivers to a new career or an opportunity to upgrade your skills in your current job.
If you want to hire a python developer contact cisin.
