Guido van Rossum created the well-known general-purpose programming language Python, first made accessible in 1991. It can carry out typical computing operations and develop a wide range of software applications.
Python is written like English, making it simple for beginners and programmers to read and comprehend.
Additionally, Python is simple to learn and has several built-in libraries to help with processing strings and files, creating websites, and data analytics.
Python’s direct execution from the Python interpreter without an executable application is another usability aspect that sets it apart from other languages.
Because of this, it’s an excellent tool for quickly developing and testing prototypes. Windows, macOS, Linux, UNIX, Raspberry Pi, and mobile devices are just a few of the platforms on which Python is used.
The group that looks after Python is called the Python Software Foundation, and they regularly release updated versions of the language.
Python is among the world’s most widely used programming languages and is becoming increasingly common due to its adaptability and simplicity.
What Is Python Used For?
Python is frequently used to develop websites, create software applications, automate data collection procedures, solve problems, and create machine learning algorithms that automatically process data and extract valuable information.
Python has many other uses, including system scripting, software testing, designing graphical user interfaces, and more.
However, here are a few examples to give you an idea of some of the most well-known Python applications:
Automating Tasks:
Python scripts can automate time-consuming or repetitive activities like data backup and file renaming. Additionally, Python scripts are used to increase the functionality of other software programs.
For instance, you can use a Python script to generate reports automatically or process photos and videos. Long-term, this can save you a ton of time!
Data Analysis:
Python excels at handling enormous volumes of data because of its powerful algorithms and built-in modules like NumPy (which lets you perform mathematical operations on arrays). Another helpful library that makes it simple to work with tabular data is Pandas.
Machine Learning:
Let’s say you have an interest in predictive modeling or artificial intelligence. Python will help you in this situation because it has several amazing libraries like sci-kit-learn that simplify implementing machine learning methods.
Web Development:
You can create complex web apps rapidly using well-known frameworks like Django and Flask.
These frameworks offer tools and libraries that simplify typical web development activities.
App Development:
Using well-liked Python tools like Kivy, it is possible to use Python to construct Android and iOS apps.
With these libraries, you may access the device’s sensors (such as the camera), design complex user interfaces, and support cross-platform interoperability.
Game Development:
Python can easily construct 2D or even 3D games if you are willing to put the time and effort into it. PyGame is a well-known game development library.
Desktop Applications:
Using libraries such as Tkinter (which offers a graphical user interface (GUI) toolkit) or Qt, Python is used to construct desktop apps (which is a cross-platform application framework).
What Are The Benefits Of Using Python?
Python is an effective programming language used to build various applications, from simple scripts to complex websites and everything in between.
Compared to other programming languages, it is also quite simple, making it a good choice for beginners.
Python is free and open-source, so anyone can use it for their projects or contribute to its development.
Another advantage of the language is its huge standard library, which includes modules for tasks like connecting to databases, parsing XML data, and implementing specific parts of the TCP/IP protocol stack.
You can save time and effort by not having to compose them yourself. Finally, there is always someone who can assist with your questions because there is such a vast community of users globally (according to the Tiobe Index, it is now the most popular programming language).
What Are The Benefits Of Using Python Over C++, Java, And Other Languages?
With its prominent usage of substantial whitespace, Python is an interpreted (not compiled), high-level, and general-purpose programming language whose design philosophy prioritizes code readability.
Python’s language constructs and object-oriented methodology enable programmers to create logical, understandable code for small and large projects.
The advantages Of Python Over Other Languages Are:
Readability:
Python’s syntax is quite simple compared to other languages like Java or C++. Using English keywords instead of punctuation, which is simpler to understand, minimizes ambiguity.
This feature makes your program more efficient in terms of time complexity and space complexity analyses since fewer lines are needed than in other languages. Additionally, fewer lines also mean fewer runtime issues!
Open Source & Community Development:
Since Python is open source, anyone can contribute to its development, resulting in a large community of help available around-the-clock anytime you run into a snag when writing (which is certain to happen!).
Additionally, it will only get better from here due to how widely used it is, resulting in better IDEs, libraries, frameworks, etc. You already have almost everything you could ever need!
Libraries & Frameworks:
Python features some of the most incredible libraries, which make it much simpler to write anything from a straightforward “hello world” program to creating complex apps or projects.
Examples include TensorFlow (Machine Learning/Deep Learning), Django (Web Development), and numerous others. All of these frameworks have a ton of online resources and are very well documented.
Integration Feature:
Due to its integration feature, Python can easily communicate with practically all major programming languages, such as C, C++, Java, etc.
Because of this, working on Python-based projects becomes straightforward for developers familiar with other programming languages.
When components of your project need to be seamlessly connected yet are written in various languages, this is quite helpful.
Object-Oriented Language:
Everything in Python is an object, similar to C++ but different from Java, which gives programs excellent structure and modularity and encourages reusability, saving a tonne of time during the development process.
Additionally, complicated notions are implemented without worrying about memory management or other system-level specifics because it is a high-level language.
Which Sectors and Jobs Use Python?
Python is used in a wide range of industries and professions. The programming language Python is used by web developers, software engineers, data scientists and analysts, machine learning engineers, AI researchers, and other experts.
The simplicity of the use of the language for statistical analysis and data-wrangling activities makes it particularly popular among data scientists.
Python’s syntax is very easy compared to other languages like Java or C++, making it a popular choice for writing machine learning algorithms.
Technology, finance, e-commerce, science, and academia are some sectors that employ Python.
Python is used for web programming, data analytics, and mobile app development.
Python is also increasingly used for machine learning, natural language processing, and artificial intelligence. It has also been used to develop many tools for robots, autonomous cars, and healthcare.
How Many Companies Use Python?
Python is an open-source program purportedly used in the tech stacks of 8007 businesses.
According to the Python stack sharing page, there are 22.6K GitHub forks and 43.8K GitHub stars.
Big businesses widely use Python for data analytics, internet development, online and mobile development, and analytics.
Several well-known Python users include Netflix, Uber, Reddit, Facebook, and Instagram.
What Are The Python Tools And Libraries Commonly Used?
Python offers a sizable standard library with features appropriate for numerous applications.
Common Python tools and libraries include:
- Virtualenv: used to create isolated Python environments
- Django: a web development framework
- Flask: a micro framework for web development
- Requests: a library for making HTTP requests
- Beautiful Soup: a library for parsing HTML and XML
- NumPy: a library for scientific computing
- Matplotlib: a plotting library
- Pygame: a library for making games
- Pyglet: a library for making multimedia applications
- SQLAlchemy: a library for working with SQL databases data types
As of September 2021, the Python Package Index (PyPI), which is the official repository for third-party Python software, contains more than 329,000
Packages providing functionality for*:
- Automation
- Computer networking
- Data Analytics
- Databases
- Documentation
- Graphical user interfaces
- Image processing
- Machine learning
- Mobile apps
- Multimedia
- Scientific computing
- System Administration
- Test frameworks
- Text processing
- Web frameworks
- Web scraping
- (*List Source: Wikipedia)
How to Learn Python Language?
Learning Python is extremely simple. The language’s fundamental syntax and rules are relatively simple. Books, online courses, and tutorials are examples of learning resources.
You may also join online forums and organizations to talk about Python-related issues and seek assistance from other users.
Becoming a proficient Python programmer and mastering all the language capabilities can take some time.
To learn Python, start with the fundamentals and exercise patience. You can graduate with more complex ideas if you have a firm grasp of the fundamentals.
To learn anything, including Python, requires persistence and practice. Although learning how to code in Python is simple, becoming a great Python developer still requires a lot of work.
While you may manage without ever employing one, working with an online Python developer (or perhaps a team of them) can help you save a ton of time and secure the success of your project.
Let’s look at a few justifications for hiring a Python developer online. When working on a project, you might need someone with specialized knowledge or an extra set of hands to get things done swiftly.
Working with self-employed individuals is worthwhile because of several amazing benefits.
Whatever the reason, hiring independent contractors for your next project is a wise choice because of their many advantages.
The freedom of a self-employed Python developer is one of the main benefits. Self-employed workers have greater scope and time flexibility than full-time employees, constrained by their schedules or capacity to take on new duties.
It follows that they routinely complete tasks as needed without seeking a higher consent.
The ability to offer competitive pricing is another major advantage because the same overhead expenses do not constrain self-employed individuals as larger businesses (for example, they do not pay office space rent).
Additionally, the majority of seasoned experts know how crucial it is to complete projects on schedule and under budget; this may be challenging to ensure with in-house workers who may be juggling several projects at once.
Working with a freelance Python developer can give you the qualified help you need without costing a fortune. It’s a win-win situation when done properly for both sides.
How to Hire A Python Developer?
Hiring Python developers is a complex task. Before rolling up your sleeves and sorting through CVs, you should know who you’re looking for. Here are the main things you need to keep in mind:
Size of Your Project:
Before hiring Python developers, define your project scope and its complexity. Create a document describing your product’s purpose, goals and benefits, main users, and potential scale.
All these factors will define the size of your development team and the experience level of the engineers (junior, middle, or senior).
Technical and Functional Features:
Once you’ve decided on your project scope and main goals, create a list of features and agree with your tech lead.
Note that it’s essential to have a technical background in your team, which will be responsible for tech management and debugging.
Stage of The Product:
Your engineering team’s development time and size will depend on your project’s stage.
For example, if you develop an MVP, your tech team’s size will usually be smaller than what you’d need for a full-featured or complex product.
Tech Stack:
The Tech stack, features, and complexity of your product will define the expertise your engineers need and the tools they should be experienced in.
For example, if you use specific software in your project, you must ensure the developer has experience with it and can start working with it quickly.
Cost of The Developer:
Be clear about the developer’s cost, like what they expect to get played and what you will pay them.
Globally, Python developer hourly rates average $61-80 per hour. Remember that the rates may also fluctuate depending on your hiring needs, whether you’re looking for a full-time, part-time, contract, or self-employed Python developer.
Conclusion:
Python is a developing language used in many important fields and is a part of life now. Google, Netflix, Uber, etc., use it.
The benefits of Python are that it is a powerful, readable, open-source language.
It’s easy to learn the language. Anyone can learn it and perform tasks as well. But if you still want to hire someone for development, it is up to you.
Before hiring someone for development, make sure about the size of your project and the technical and functional features.
Also, the stage for your product, tech stack, and cost. Cost matters a lot before hiring a python developer.
