To make things possible and complete the tasks, a computer needs to understand what we are commanding. Or at least know what we want from them.
Just like how humans use different languages according to the situation and places, computers have different languages for different tasks.
Guido Van Rossum was the developer who developed python in the year 1991.
If you are a novice in the field of coding, then choosing python can be the best choice. It is friendly and easy to understand. The great part is it has lots of applications and works with open sourcing.
Python is an object-oriented programming language and has multiple programming paradigms. If we talk about how python is described, then it is always interpreted as a programming language which solely focuses on code readability. Python has fewer steps of coding than C++ and Java
REASONS WHY YOU SHOULD LEARN PYTHON
Data science and Machine Learning
Irrespective of the field, Data is always going to be the base of it. So, one of the most used programming languages for machine learning and Data science is python. As we see the rapid growth of machine learning, it is worth learning.
Main applications and more
Data science which includes Machine learning, data visualization, and data analysis along with Web development and scripting are the three main parts of Python from Best Python Training in Rajkot to boost your career. Firstly these applications have been explored in many software companies such as web applications, games, and frameworks. Graphic designing, language development, designing applications, and more.
Extensive libraries and Framework
Python has a library that includes everything from string operations to protocols. The package index of python includes about 85,000. Scripts and modules.
Open source
It’s been 20 years since python has been developed, and since then it is a cross-platform and open source platform, this lets you work on Linux, Mac Os and Windows.
Can work with other programming languages
Yes, python can easily work with other programming languages like if working with c programming language CPython, if, with JAVA Jython, IronPython with .NET and C#PyObjc is for ObjectiveC tools, and even RubyPython is for Ruby.
Improving productivity
Python helps you build many functions by using very little code. The abundant support from the libraries and python being object-oriented design increase a programmer’s productivity. The process integration of features, the unit-testing frameworks, and the control capabilities of python helps increase the speed of applications.
Jobs and Careers
If you know python, you can easily grow in your career along with it. Python is a major programming language, so working with it gives you great benefits. Developers who are working in Web development, machine learning and Data Science are one of the highest-paid people.
Simplicity
The simplicity of learning python is what makes it so popular, but that doesn’t say that the functional possibilities have been limited.
The factors that make python this flexible are.
- It is free and open source
- A high-level programming
- Enormous community
- Python is interpreted
Scalability
Python is one of the most scalable programming languages, if we compare all the languages, python has the most possibility of growing.
Any problem that comes in development can easily be solved with python. with new updates, it provides the best options. Python open source lets all the solutions on the OS which lets the novices go through any solution with different methods.
Web development
Learning Python will help you make your development process super fast. The available frameworks and libraries help you increase your coding speed and productivity.
When we compare Python with other programming languages, so we will find that what other languages can do in hours takes only a few minutes in python.
Huge community
Python has one of the most powerful communities. When you have such a great community, your learning and growth path becomes very easy because as you get constant support from the experts and professionals.
Automation
Using frameworks of Python like PYunit helps you a lot, in these ways
- You won’t have to install any additional modules
- Even if you don’t have a python background, you still can work very comfortably with it. Firstly the working principle is very similar to other frameworks.
- For singular experiments, you can use straightforward ways. The output makes the structure adaptable.
- The report of tests is generated within milliseconds.
Portable and extensible
You can easily perform cross-language operations with portable and extensible properties. So many platforms support python which ranges from windows to play stations and many such.
The extensible feature of python lets it integrate with Java too.
Artificial Intelligence
The AI industry has advanced to a great length. With the help of AI, you can easily create a machine which can imitate a human’s brain. The libraries available can even help you create image recognition.
Interactive Jupyter Notebook and Pandas
IPython is an interactive command-line terminal which introduced Jupyter and lets the developer connect with other data scientists with the help of a web browser. So, working with the command line is not an easy task to do, so Jupyter gives the developer a simple and strong interface for the python language to integrate code and generate output in a single document with data visualization.
Panda lets the user have a neat and clear interpretation of data which can loaded with any extension. CSV. excel and much. So, panda contains a collection of features which helps you in data manipulation and is perfect for merging, splitting, aggregating data, and even reshaping. The best part is that it is handy and comfortable to use.
