Python is a high-level, object-oriented, interpreted programming language that has gotten a lot of attention throughout the world. According to Stack Overflow, 38.8% of its users prefer to utilise Python for their projects. Python's popularity overtook C# in 2018 – just as it did PHP in 2017 – and Python users have now overtaken Java users with 8.2 million users as of 2020, according to the website's poll.
Python: An Overview
In simple terms, Python is an interpreted High-Level Dynamic Programming Language. When Guido Van Rossum, the founder of Python, started creating it, he had a few simple aims in mind: clean code that was legible and open source. In a study conducted by Stack Overflow in 2018, Python was ranked as the third most popular language, followed by JavaScript and Java, indicating that it is the fastest-growing language.
What exactly is Python?
Python is now my favourite and most favoured programming language due to its ease of use, robust libraries, and readability. Whether you're a seasoned programmer or a total beginner, Python is the greatest place to start.
Python has the following features:
Simplicity: Focus on the code rather than the language's syntax.
Open Source: A strong language that anybody may use and modify as they see fit.
Portability: Python code may be shared and will continue to function as intended. Everything went well and without a hitch.
Python is embeddable and extensible, which means it may contain snippets of other languages to execute certain tasks.
Being Interpreted: Python takes care of huge memory chores and other CPU-intensive operations, letting you concentrate just on coding.
A large number of libraries: What is data science? Python will take care of you.
Object Orientation: Objects aid in the decomposition of complicated real-world issues so that they may be programmed and solved to produce solutions.
To summarise, Python has a simple syntax, is intelligible, and is well-supported by the community.
Python is a programming language.
An interpreter is computer software that executes, or performs, instructions written in a programming or scripting language without the need for them to be compiled into a machine language programme first. Python, unlike Java, utilises an interpreter.
An interpreter is software that allows us to run our Python scripts and code. It essentially acts as a conduit between the code and the computer hardware in order to obtain the code's outcomes.
When it comes to python, the code flows via an interpreter regardless of the programming language used. For example, pypy is a Python interpreter that executes Python code.
In most cases, a Python IDE combines a code editor, compiler/interpreter, and debugger into a single user interface (Graphical User Interface). It encompasses the complete process of code generation, compilation, and testing, allowing engineers to work more efficiently.
A developer using an IDE begins with a model, which the IDE then converts into appropriate code. The IDE then automates the debugging and testing of the model-driven code. Once the build has been successfully completed and thoroughly tested, it may be deployed for additional testing using the IDE or other external tools.
PyCharm
PyCharm is a Python-specific IDE created by JetBrains, a Czech business. PyCharm is a cross-platform integrated development environment. As a result, depending on their needs, customers can download either of the Windows, Mac, or Linux versions. To be honest, PyCharm is largely regarded as one of the greatest Python IDEs, if not the most well regarded.
PyCharm offers additional functionality in addition to the standard ones, such as:
Specialized project views allow for rapid file switching.
With Django, Flask, and web2py, it makes web development easier.
PyCharm comes with over 1000 plug-ins, allowing programmers to enhance its functionality by writing their own.
Notebook Jupyter
Jupyter Notebooks are an useful tool for writing and iterating on Python data analysis code. The Kernel executes the calculations and communicates with the Jupyter Notebook front-end interface, while Jupyter Notebook is based on IPython.
Jupyter Notebook is a free and open-source online software that lets you create and share documents with live code, equations, visualisations, and narrative prose. It's used for data cleansing and transformation, numerical simulation, statistical modelling, data visualisation, and machine learning, among other things.
Why should you learn Python?
Python's syntax is fairly simple to grasp. In comparison to other languages, the number of lines of code required for a task is lower.
Applications written in Python
Desktop Application for Artificial Intelligence
Automation
Web design and development
Exploration, Data Wrangling, and Visualization
Python's Object-Oriented Programming
In Python, OOPs stands for Object-Oriented Programming. Python, on the other hand, is not entirely object-oriented, as it includes some procedural methods. You're probably wondering what the distinction is between procedural and object-oriented programming. To clear up any doubts, procedural programming entails writing the entire code into a single continuous process, even if it contains functions and subroutines. It's unmanageable because data and logic are jumbled up. In object-oriented programming, however, the programme is divided into self-contained objects or many mini-programs. Each object represents a separate section of the programme, each with its own set of data.
Classes in Python
In Python, a class is the blueprint from which individual objects are built. It allows you to organise your applications in a certain way. Then there's the matter of how. Classes enable us to logically organise our data and functions in a way that is straightforward to reuse and extend if necessary.
You may provide consistency to your programmes by using a class, allowing them to be utilised in cleaner and more efficient ways. Data members (class variables and instance variables) and methods with dot notation are the attributes.
A variable shared by all the objects/instances of a class is known as a class variable.
Variables that are specific to e are known as instance variables.
Inheritance in Python
We may inherit properties and methods from the base/parent class via inheritance. This is useful because we can design sub-classes that inherit all of our parent class's capabilities. Then we may override the parent class and add new functionality without impacting it.
A class that inherits properties is referred to as a Child Class, whereas a class that inherits properties is referred to as a Parent Class.
Let's say I want to develop classes for different employee kinds. I'll make sub-classes for 'developers' and'managers,' because both developers and managers will have a name, email address, and pay, and all of these features will be available in the employee class.
We've reached the end of this article.A2N Academy, a reputable online learning firm, offers a Python certification course.