What is Python Programming Language?
Python is a high-level programming language and it was developed by Guido van Rossum in 1991 and Python foundation. Since it was introduced, it has become a favorite of global software developers as it is designed with code readability, simpler syntax, and GUI support. The learning of Python programming language is very easy for beginners and experienced programmers. Here we give you some fundamental Python things that are useful for you to jump-start your career in software development.
Latest version of Python 3.10.1 is now available to download. https://www.python.org/downloads/release/python-3101/
Specialized Features of Python Programming Language
Python is the most popular programming language as per the TIOBE Index and it is used by 8.2 million developers worldwide according to SlashData. Python is used by top tech giants Intel, IBM, NASA, Netflix, Facebook, Spotify, and JP Morgan as it allows the developers to integrate systems more quickly, easily, and effectively. Following are the general features of Python Programming language.
- Easy to learn and understand
- Easy to test and debug as it is interpreted line by line.
- OOPs-based as it supports classes and objects
- Open-source and free. Source codes are available to the public for free.
- Portable nature that can run on all major OS such as Mac, Windows, Linux, and others.
- GUI Programming support along with Tkinter
- Huge library support to pick and play the codes instantly.
Applications of Python Programming Language
Python can be used in every field of development as it is general-purpose nature and developer-friendly programming language. Python is used in three major platforms for developing applications such as web development, data science process, and scripting development. Following are the detailed use cases of the Python programming language.
Console-based applications: Applications that run from command-line or shell scripting. Python has a REPL (Read-Eval-Print-Loop) feature for developing console-based applications.
Business Applications: Applications for ERP and E-Commerce platforms. Python provides the Tryton platform with readability, scalability, and extensibility to create rich-featured business applications.
Web Applications: Python has numerous powerful libraries such as Django, flask, Plone, and Django CMS to handle internet protocols such as XML, email processing, JSON, Feedparser, HTML that are used for developing web applications.
Enterprise Applications: Applications for customer relationship management and billing system. Python has various business tools to draw the model of the entire business process and it is used to create enterprise applications for the improvement of productivity and efficiency of businesses.
Software Development Applications: Python supports greatly the development of testing control and management tools for SDLC processes. Scions are one of Python frameworks for developing build controls, Apache and Buildbot for automated testing, and Trac or Round for project management.
Desktop GUI Applications: Python has some useful libraries namely Tk GUI, Tkinter, Kivy, PyQT, PySide, and wxWidgetM for developing rich and smooth graphical user interfaces that interact effectively with users through visual indicators.
3D CAD Applications: Python is very good for 3-D Computer-aided design that replaces manual drafting with an automation process. It helps architectural professionals for simplified engineering in 3-D mode using some of the popular functionalities of Python like RCAM, AnyCAD, CamVox, and Fandango.
Scientific and Numerical Applications: Python is the most suitable programming language for data science, artificial intelligence, and machine learning as it has numerous libraries to solve complex calculations easily and accurately. Some of the popular libraries used in developing numeric and scientific applications are Pandas, NumPy, Matplotlib, SciPy, and Scikit-learn.
Image Processing Applications: Python is used to manipulate images for digital image processing using libraries such as SimpleITK, OpenCV, and Pillow.
Audio or Video-based Applications: Python is used to create multimedia applications along with speech recognition features through libraries like QT Python, Pyglet, and Gstreamer.
Python Basics for Beginners
Python Programming language is easy for beginners and our Python Training in Chennai provides a comprehensive understanding of python web development, data science process, and script development. Here we give some of the fundamental concepts of Python with examples.
Data Types: In-built data types of Python programming languages are
| Type | Description |
|---|---|
| Text Type | str Example: x = “Hello World” |
| Numeric Type | int, float, complex Examples: x = 10 //int x = 10.5 //float x = 1a //complex |
| Sequence Type | list, tuple, range Examples: x = [“one”, “two”, “three”] //list x = (“one”, “two”, “three”) //tuple x = range(4) //range |
| Mapping Type | dict Example:x = {“Name” : “Shan”, “Age” : 34} //dict |
| Set Type | set, frozenset Examples: x = {“one”, “two”, “three”} //set x = frozenset({“one”, “two”, “three”}) //frozenset |
| Boolean Type | set, frozenset Example x = true //bool |
| Binary Type | bytes, bytearray, memroyview Examples:x = bytearray(4) //bytearray x = memoryview(bytes(5)) //memoryview |
Operators
Operators in Python are used to perform operations of variables and values. Following are the operators used in Python.
- Arithmetic Operators: Addition, Subtraction, Multiplication, Division, Modulus, Exponentiation, and Floor Division
- Assignment Operators: =, +=, -+, *=, /=, %=, //=, **=, &=, |=, ^=, >>=, and <<=.
- Comparison Operators: Equal, Not Equal, Greater than, Less than, Greater than or equal to, and Less than or equal to.
- Logical Operators: And, Or, and Not.
- Identity Operators: Is, and Is Not
- Membership Operators: In, and Not In
- Bitwise Operators: AND, OR, XOR, NOT, Zero fill the right shift, and Signed right shift.
OOPs concepts in Python Programming Language
Python is the object-oriented programming language that uses objects and classes in programming. The important thing of OOPs is to bind the data and the functions in a single unit for the easy accessibility of codes to other parts of the program. Following are the OOPs concepts in Python.
Class: A class is a collection of objects and contains a prototype from where the objects are being generated.
The syntax for class definition in Python
class ClassName:
#statement – 1
…
#statement -N
Objects: This is an entity and it consists of behavior, state, and identity. The state represents the attributes and it reflects the properties of an object. Behavior is representing the methods of an object and it reflects the response of an object to others. Identity gives a unique name to an object and allows one object to interact with others.
Example for creating an object in Python
obj = flower()
Inheritance: Inheritance is the concept that one class derives or inherits the properties of another class through objects. The class that inherits the properties is called the derived class or child class, while the class from which properties are derived is called the base class or parent class. There are single inheritance, multiple inheritances, multilevel inheritance, hierarchical inheritance, and hybrid inheritance in the Python programming language.
Polymorphism: Polymorphism means that one function or method takes multiple forms to provide various function types.
Encapsulation: It is the idea of wrapping the data and the methods that work on data within a single unit. A class is the best example of encapsulation in that it wraps all objects and functions in a class name.
Furthermore, there are ten major concepts that every beginner should know in Python programming languages.
- Map Function
- Itertools
- Lambda Function
- Exception Handling
- Decorators
- Collections
- Generators
- Magic Methods
- Threading
- Regular Expressions
Learn them comprehensively in our Python Course in Chennai.
Career Opportunities in Python Programming Language
Python brings promising career opportunities for beginners as well as experienced professionals across the world. The demand for Python professionals is increasing every year with new roles and responsibilities. Python is the most favorable programming language by developers as it cuts down the total development time significantly. This is because of APIs and libraries that support development, data manipulation, data visualization, and data analysis. It is a lucrative career option that bridges the skill gap of industries for certified python developers.
Job and Salary Trends for Python in India
Top tech giants namely IBM, Intel, Nasa, Pixar, Facebook, JP Morgan, and TCS are using Python programming languages and they are hiring professionals regularly.
The average salary of a Python developer is around 5,80,000 per annum for the candidates with the right certification and hands-on exposure.
There are nearly 75000 job vacancies for Python developers in India as per the report of popular job portals like Naukri.Com, Glassdoor.com, and Monster.com.
Python creates numerous job roles for certified Python professionals such as Python Developer, Data Analyst, Product Manager, and Machine Learning Engineer.
Future Scope of Python Programming Language
Python is now on trend due to the popularity gained from communities. They are making everything easy with their contributed tutorials, libraries, and other needful things for beginners. Python is simplifying the future with its new-generation technology integrations.
Robotic Process Automation with Python Programming Language
Python is used to develop Machine Learning algorithms that involve in robot development and manufacturing. Python featured bots are implemented in social networking response systems to self-driving cars.
Artificial Intelligence with Python
Python is used to create applications for image processing, speech recognition, smartphone personal assistants, navigation apps, and ride-sharing apps in AI technology.
Edge Computing with Python
Python is suitable for Edge Computing technology through its APIs and libraries along with MicroPython. Python provides the substantial computing power needed for networking capabilities.
Quantum Computing with Python
Qiskit is the IBM package of Python that serves better for quantum computing technology.
Virtual Reality and Augmented Reality with Python Programming Language
Python is used in industrial applications for developing Augmented and Virtual Reality technologies that are implemented in popular sectors like healthcare, manufacturing, and space research.
Blockchain Technology with Python Programming Language
Python is used in Blockchain technology and it allows developers to create a simple blockchain in less than 50 lines of code.
Internet of Things with Python Programming Language
Python is the topmost choice of IoT developments and it is used to integrate machine learning tools in IoT devices easily.
5G Technology with Python Programming Language
Python is used to design, analyze, and simulate 5G technologies as it provides techno-economic frameworks for all levels of deployment.
New Python Features
Python has released its new version Python 3.10 in December 2021 and it has added the following features.
- Parenthesized-context managers
- Better error messages
- Precise line numbers for debugging
- Structural pattern matching
- New type union operator
- Parameter specification variables
- TypeAlias
- User-defined type guards
- Improved modules
- Removed deprecate distutils module
- Added optional Encoding Warning.
Learn the Best Python Course in Chennai for gaining expertise in industry-required software development, web development, game development, data analytics, and script development.