What is Python Programming Language Used for?
We live in a highly digital world. We’re surrounded by gadgets, appliances, applications, etc. These tools are designed to simplify our casual routines and serve to make our lives easier.
However, software is needed to program any set of mechanical parts. Thus, software engineers stand behind any smart device, be it a robot cleaner, a vehicle, or a food app on your smartphone, or whatever.
When plunging into the modern IT world, you’ll discover multiple machine languages used for writing codes and software for future devices. Python comes as one of the most popular and widely used programming languages (PLs) nowadays. Below, we’re going to go deeper into the issue and explain the following questions: what is Python and what is it used for?
Python has gained incredible popularity in different spheres of IT development. Today, software engineers use it to write utilities for web applications, machine learning (ML), games, data science, and other fields.
In these diverse applications, the expertise of a Python software development company like Evrone becomes invaluable. Specializing in tailored Python solutions, Evrone is committed to meeting your unique project requirements.
The Core Concept of Python PL
Python stands as a top machine language for the development of different sorts of software. It has gained popularity due to its ease of understanding and use, versatility, and effectiveness. Moreover, its clear programming syntax attracts many students who start studying programming languages.
Python is a high-level programming language that uses dynamic typing, which determines its ease of use. Python’s syntax is simple and intuitive, making it easy to learn and write code. Every line of code in Python ends with “;” or “,” but these symbols are not obligatory since Python adopts the principle of using line feed as the end of a line of code.
Using the If/Else statement, expressions can be organized into logical blocks. While/For statements are used to repeat a group of statements until a certain condition is met. Break/Continue statements interrupt the execution of a loop and move on to the next statement.
Python has a wide range of libraries that provide many functions and modules to solve various problems. For instance:
- the Numpy library provides support for multidimensional arrays and operations on them;
- the Pandas library provides functionality for working with data;
- the Matplotlib is a graphics library for plotting graphs and charts.
Python uses indentation instead of curly braces to separate blocks of code, making the program easier to read and understand. It is recommended to use four spaces for each indent level.
In summary, we can say that Python’s syntax is very flexible and easy to use to solve various tasks. Thanks to its libraries and ease-of-use philosophy, Python has become one of the most popular programming languages in the world.
To determine what the Python language does, you need to understand its philosophy. Like any other programming language, this one is developing under the common concept formulated as “The Zen of Python”. Here, three basic concepts are guided:
- beautiful is better than ugly;
- clear is better than unclear;
- simple is better than complicated.
Based on these concepts, the general philosophy of the PL becomes clear:
- aspiration for simplicity and intuitive code perception;
- simple but strict rules with minimum exceptions and confusing interpretations;
- focusing on performing practical tasks and searching for obvious solutions.
Note that the language is characterized by a certain degree of irony, which makes it fun and diversifies the learning process.
Before we explore what Python programming language can be used for, let us briefly mention its key advantages:
- Ease of perception and reading. Python's similarity to the English language is one of its basic peculiarities, due to which it’s easy to read and interpret the code. Minimum syntax eliminates the need to turn to vocabularies to study documentation. Short and compact commands save time on projects.
- Extended libraries. They contain the most commonly used parts of the code, which speeds up the workflow significantly.
- Multi-platform access. The language is compatible with all modern operating systems. Thus, its cross-platform character allows for creating software for iOS, Android, Linux, Microsoft Windows, etc.
- Multi-paradigm. Python allows for programming in various paradigms: object-oriented, imperative, functional, structural, procedural, etc. This is achieved by connecting additional libraries, interpreters, and frameworks. Multi-paradigm allows software engineers to expand the expressive abilities of the programming language and use it to solve a wider range of problems within the framework of one project.
- An interpreted language. Before running, a Python program looks like a plain text file that can be run on any platform where the interpreter is installed.
- Beginner-friendly. Finally, Python is well-designed and logical, which is why experts recommend starting to learn programming languages from this one.
Applications of Python
Finally, let’s answer the question “What are the uses of the Python programming language”. Below, we offer a deep look at the most popular fields of application of the regarded PL.
AI and Machine Learning
Since artificial intelligence and machine learning work on strict algorithms, Python’s syntax is perfect for them due to its simplicity, flexibility, and stability. AI can learn the language quickly and easily and implement it further for software development.
Answering the question “What is Python computer language used for”, note that machine learning comes as the top sphere of application. The use of the regarded language in data science helps predict the outcome of the implementation of particular steps or actions. In other words, it’s possible to create models that program what effect software will have on users.
Data Analytics and Visualization
The availability of multiple libraries and extra modules allows Python to deal with information and create comprehensible results of data analysis. NumPy, Pandas, and other libraries help engage the language in data collection and analysis, hypothesis testing, web scaping, etc.
Python has libraries for data visualization, which allows for the creation of objects of any level of complexity, starting from simple charts or images up to advanced maps, plots, and animation.
When it comes to website creation, Python is good for backend. Such frameworks as Flask or Django with built-in modules are responsible for processing data, sharing information with servers, routing URL, API tracking, etc. Note that Google, YouTube, Instagram, and Facebook are among those giants that use this approach.
Although it’s not the main tool in this domain, Python can be applied to create simple games and prototypes. The language is excellent for developing a dialog tree. Thus, when dealing with new game development, the regarded language is also used for particular aspects of game software.
Speaking of what Python is mostly used for, this field is one of the leading ones. Science is a vital direction for modern society. The implementation of Python-based solutions in scientific computing allows for making exact calculations, performing computing tasks, and creating brand-new ideas for future scientific research and discoveries. The provided tools within the Python language allow for the development of custom projects for scientific companies that meet their demands.
Automation and Scripting
If you face the need to repeat a certain task multiple times, Python can help improve your workflow efficiency and free you from routine duties. The term “scripting” is used in the IT world to write code for such repeated procedures. The implementation of this tool allows for speeding up and automating the process. For example, Python serves for software testing for errors, detection and removal of duplicates in datum, calculating simple math, or converting files.
Finance and Trading
Although this field is not obvious when one answers the question “What is Python coding used for”, its popularity still tends to grow. Python software is applied to analyze the market trends and predict the price movement based on the analysis results. Another popular field of application in the finance sector is process automation. Due to its wide library, Python stands as an excellent tool for processing vast arrays of data sets. By applying Python-based software to financial platforms, users can simplify the process of data analysis and evaluation and automate workflows, freeing employees or users to cope with other tasks.
Network and Security
Shifting to online reality has led to the necessity to pump security, while the level of cybercrimes has increased greatly. Any online portal requires a high level of protection against hackers and scammers. Python is used to develop highly secure systems for the protection of user data, confidentiality, and privacy. Although its syntax and structure are rather clear, writing code in this language allows for the development of high-standard security systems that withstand hacker attacks.
In answering the question of what Python is mainly used for, software development emerges as the most prominent area. The language is one of the most popular tools for the development of new software (apps, websites, utilities, etc.). It has gained high community support from software engineers due to its simplicity, clear syntax, and various libraries.
What is Python used for in the real world?
To draw the bottom line, note that the language serves as the top tool for building custom software in all spheres of the modern world. Easy and clear syntax combined with different libraries make the language an excellent tool for coping with any task. Nowadays, there is nothing impossible for Python software engineers. Since the IoT (Internet of Things) is gaining popularity, more opportunities for Python applications appear regularly.
Although Python is well-known as the simplest programming language, it still requires mastering knowledge and skills. Contact Evrone’s specialists for high-quality Python development services for your specific needs. Our highly educated and experienced specialists will be glad to develop custom solutions for your cases, taking into account project features and clients’ demands.