Real-Time Applications of Python You Need to Know

Since 1991 when the Python language was developed, it has been used for various applications. Due to its simplicity and versatility, Python codes can help developers complete the software development process without much hassle.

In the previous blog, we briefly discussed Python's features and IDEs in detail. Now let us delve deeper into the applications and essential data types of Python.

Web Development

With the help of Python programming language, one can easily make a web-application software. It is because of the framework of Python that is used to create different applications. It uses common-backend logic essential to make the framework and various libraries that aid in integrating protocols like FTP, HTTPS, SSL, and much more. 

Besides this, it helps to process XML, JSON, E-Mail, and much more. Here, HTTPS brings the data security that a Python app needs. Data remains encrypted between the app and the user. Several well-known frameworks, such as Flask, Django, and Pyramid, offer scalability, security, and convenience, which are unparalleled and comparable to starting a website from scratch.

Game Development

Python programming language helps in the development of interactive games. It uses different libraries like PySoy, a 3D game engine supporting Python 3. Various game developers use another library PyGame, that offers the functionality of games like Disney’s Toontown Online, Civilization-IV, Vega Strike, and much more, all are created with the help of the Python language.

Artificial Intelligence and Machine Learning

Both artificial intelligence and machine learning have a huge scope for the future career. The robust AI and ML algorithms enabling the machines to learn independently by processing huge volumes of data can be built using Python. Besides this, the Python programming language is used to support different domains with the help of its libraries which already exist, like Scikit-Learn, Pandas, NumPy, and much more.

Data Visualization and Data Science

Data is as valuable as money; therefore, it is necessary to know Python's uses as it helps extract valuable data that can be used to take measured risks and profit incrementation. One can study information using extracted data and Python libraries like NumPy and Pandas and easily perform several data science operations. For data visualization, there are different libraries like Seaborn and Matplotlib; all are used to plot graphs and charts. This is one of the Python features that is used by the data scientists.

Desktop GUI

It can be used for programming desktop applications. This offers the Tkinter library, which is used to create user interfaces. The other useful toolkits are Kivy, wxWidgets, and PYQT, which are used to develop the application on various platforms. One can easily use Python to create applications like To-Do apps, Calculators, and many more.

Web Scraping Application

This programming language is used to collect a large amount of information from other websites that can be helpful in several processes like job listings, price comparison, development and research, and much more. It facilitates a library known as BeautifulSoup that is used to collect information that can be processed accordingly. 

Business Applications:

This is another use of Python coding language as business application differs from normal applications that cover domains like ERP, E-Commerce, and much more. They need applications that are extensible, scalable, and readable. Python offers all these facilities to its users.

Video and Audio Applications

The output media and other multi-tasking software can be developed with the help of this programming language. Python is useful for video and audio applications like Cplay, TimPlayer are developed through Python libraries as they offer better performance and stability than other media players.

CAD Application

Computer-Aided Designing is one of the complex applications used to create several things one must take care of. Functions, objects, and their representation are examples of this programming language for these complex applications. Python simplifies this, and Fandango is the most well-known application of Python-based CAD.

Embedded Application

Python resembles the C programming language, which is used to develop embedded software like Embedded C software. Using Python coding language, users can easily perform high-level applications supported on smaller devices. Raspberry Pi is one of the well-known embedded applications that is used to compute different tasks. Python is taken as a computer or a simple embedded board that performs several high-level computations.

Installation of Anaconda Navigator:

• Integrated Development Environment (IDE) for Python
• Installation of Anaconda Navigator (https://www.anaconda.com/products/individual) 
• Google Colaboratory (https://colab.research.google.com/notebooks/intro.ipynb)
• Kaggle (https://www.kaggle.com/notebooks)

First Python Program:

• Python uses whitespaces and indents to denote blocks of code
• Lines within the code block are indented at the same level
• To end a code block, remove the indentation 

Syntax:

print (‘Hello World’)

Comments:

Comments are descriptions that help programmers better understand the intent and functionality of the program. They are completely ignored by the Python interpreter.

Advantages of Using Comments

Using comments in programs makes our code more understandable. It makes the program more readable, which helps us remember why certain blocks of code were written.

Other than that, comments can also be used to ignore some code while testing other blocks of code. This offers a simple way to prevent the execution of some lines or write a quick pseudo-code for the program.

       There are two types of comments in Python:

1. Single line comments: Given using #
2. Multi-line comments: Given using triple quotes

• Example: 

                      # This is a single-line comment

                      # print("I will not be printed, I am a single line comment")

                     ''' This is a block comment 3 single quotes

                        print("We are in a comment")

                      print ("We are still in a comment")

                       '''

                        Print("We are out of the comment")

Identifiers and Keywords

All the variables, classes, objects, functions, lists, dictionaries, etc., are termed Python Identifiers in Python. Identifiers are the basis of any Python program. Almost every Python Code uses some or other identifiers.

Rules for using Python Identifiers:

• An identifier name should not be a keyword.
• Its name can begin with a letter or an underscore only.
• An identifier name can contain numbers, letters, and underscores (A-z, 0-9, and _ ).
• An identifier name in Python is case-sensitive, i.e., sum and Sum are two different identifiers.

There is a list of words already defined in the Python library. These reserved words are called as Python Keywords. Every keyword is defined to serve a specific purpose. When used in Python codes, these keywords perform a specific operation during compilation. A Keyword in Python is restricted to be used as a variable, a function, or an identifier.

Variables and Datatypes:

• A variable can be considered as a container that holds value. 
• Python is a dynamically-typed language, i.e., one which can detect data types automatically.
• Python supports three basic data types: Number, String, and Boolean.
• In addition, Python supports the following four Data structures: List, Tuple, Set, and Dictionary.

Number Data Type:

Python has 3 numeric types:

• Integers

               Ex: a = 10

• Floating Point numbers

               Ex: a = 10.0

• Complex numbers

               Ex: a = complex(10,5) # 10+5j

String Data Type

Strings in Python are surrounded by either single quotation marks or double quotation marks.

'hello' is the same as "hello."

You can display a string literal with the print() function:

• A string is a sequence of characters. In Python, we can create a string using a single quote( ' ' ), double quotes (" "), or triple quotes ( ' ' ' )
• str1 = ‘Python Programming’
• str2 = “Python Programming’
• str3 = ‘’’ Python Programming ‘’’ # Multi-line string

Boolean Data Type:

In programming, you often need to know if an expression is True or False.

You can evaluate any expression in Python and get one of two answers, True or False.

 A boolean variable can store only one of two values: True or False

flag1 = True

 flag2 = False

 

Example:

print(10 > 9)

print(10 == 9)

print(10 < 9)

 

Output: True

             False

             False

Arithmetic Operators:

• + (plus): Adds two objects
• - (minus) Gives the subtraction of one number from the other; if the first operand is absent, it is assumed to be zero.
• * (multiply) Gives the multiplication of the two numbers or returns the string repeated that many times.
• ** (power) Returns x to the power of y
• / (divide) Divide x by y
• // (floor division) Returns the floor of the quotient
• % (modulo) Returns the remainder of the division

Assignment operators:

• List of assignment operators: = , += , -=, *= , /= , %= , //= , **=
• x = 10
• y = x
• print ('Value of x = ',x,' Value of y = ',y)
• x += 2 # x = x + 2
• print ('Value of x after increment = ', x)
• x -= 3
• print ('Value of x after decrement of 3 = ',x)
• x *= 2 # x = x * 2

Input Statements:

• In Python, the input() statement is used to accept user input.
• It returns the string read from the keyboard.
• Depending on the program logic, this string may have to be converted into another data type.
• A string called “prompt” can be supplied as an argument to the input statement.

Example: 

a = input(‘ Enter a value for a :’)

This blog has covered the applications of Python and some basic concepts related to programming. To further understand how to develop AI and ML algorithms using Python enroll in Skill-Lync’s course. 

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