Python Tutorial

Introduction Python Features Python Applications System requirements for Python Python Installation Python Examples Python Basics Python Indentation Python Variables Python Data Types Python IDE Python Keywords Python Operators Python Comments Python Pass Statement

Python Conditional Statements

Python if Statement Python elif Statement Python If-else statement Python Switch Case

Python Loops

Python for loop Python while loop Python Break Statement Python Continue Statement Python Goto Statement

Python Arrays

Python Array Python Matrix

Python Strings

Python Strings Python Regex

Python Built-in Data Structure

Python Lists Python Tuples Python Lists vs Tuples Python Dictionary Python Sets

Python Functions

Python Function Python min() function Python max() function Python User-define Functions Python Built-in Functions Python Recursion Anonymous/Lambda Function in Python python apply() Function Python lambda() Function

Python File Handling

Python File Handling Python Read CSV Python Write CSV Python Read Excel Python Write Excel Python Read Text File Python Write Text File Read JSON File in Python

Python Exception Handling

Python Exception Handling Python Errors and exceptions Python Assert

Python OOPs Concept

OOPs Concepts in Python Classes & Objects in Python Inheritance in Python Polymorphism in Python Python Encapsulation Python Constructor Python Super function Python Static Method Static Variables in Python Abstraction in Python

Python Iterators

Iterators in Python Yield Statement In Python

Python Generators

Python Generator

Python Decorators

Python Decorator

Python Functions and Methods

Python Built-in Functions Python String Methods Python List Methods Python Dictionary Methods Python Tuple Methods Python Set Methods

Python Modules

Python Modules Python Datetime Module Python Math Module Python Import Module Python Time Module Python Random Module Python Calendar Module CSV Module in Python Python Subprocess Module Python Subprocess

Python MySQL

Python MySQL Python MySQL Client Update Operation Delete Operation Database Connection Creating new Database using Python MySQL Creating Tables Performing Transactions

Python MongoDB

Python MongoDB

Python SQLite

Python SQLite

Python Data Structure Implementation

Python Stack Python Queue Python Linked List Python Hash Table Python Graph

Python Advance Topics

Speech Recognition in Python Face Recognition in Python Python Linear regression Python Rest API Python Command Line Arguments Python JSON Python Virtual Environment Type Casting in Python Python Collections Python Commands Python Data Visualization Python Debugger Python DefaultDict Python Enumerate

Python 3

Anaconda in Python 3 Anaconda python 3 installation for windows 10 List Comprehension in Python3

Misc

Python PPTX Python Pickle Python Seaborn Python Coroutine Python EOL Python Infinity Python math.cos and math.acos function Python Project Ideas Based On Django Reverse a String in Python Reverse a Number in Python Python Word Tokenizer Python Trigonometric Functions Python try catch exception GUI Calculator in Python Implementing geometric shapes into the game in python Installing Packages in Python Python Try Except Python Sending Email Socket Programming in Python Python CGI Programming Python Data Structures Python abstract class Python Compiler Python K-Means Clustering NSE Tools In Python Operator Module In Python Palindrome In Python Permutations in Python Pillow Python introduction and setup Python Functionalities of Pillow Module Python Argmin Python whois Python JSON Schema Python lock Return Statement In Python Reverse a sentence In Python tell() function in Python Why learn Python? Write Dictionary to CSV in Python Write a String in Python Binary Search Visualization using Pygame in Python Latest Project Ideas using Python 2022 Closest Pair of Points in Python ComboBox in Python Python vs R Best resources to learn Numpy and Pandas in python Check Letter in a String Python Python Console Python Control Statements Convert Float to Int in Python using Pandas Difference between python list and tuple Importing Numpy in Pycharm Python Key Error Python NewLine Python tokens and character set Python Strong Number any() Keyword in python Best Database in Python Check whether dir is empty or not in python Comments in the Python Programming Language Convert int to Float in Python using Pandas Decision Tree Classification in Python End Parameter in python __GETITEM__ and __SETITEM__ in Python Python Namespace Python GUI Programming List Assignment Index out of Range in Python List Iteration in Python List Index out of Range Python for Loop List Subtract in Python Python Empty Tuple Python Escape Characters Sentence to python vector Slicing of a String in Python Executing Shell Commands in Python Genetic Algorithm in python Get index of element in array in python Looping through Data Frame in Python Syntax of Map function in Python After Python What Should I Learn Python AIOHTTP Alexa Python Artificial intelligence mini projects ideas in python Artificial intelligence mini projects with source code in Python Find whether the given stringnumber is palindrome or not First Unique Character in a String Python Python Network Programming Python Interface Python Multithreading Python Interpreter Data Distribution in python Flutter with tensor flow in python Front end in python Iterate a Dictionary in Python Iterate a Dictionary in Python – Part 2 Allocate a minimum number of pages in python Assertion Errors and Attribute Errors in Python Checking whether a String Contains a Set of Characters in python Python Control Flow Statements *Args and **Kwargs in Python Bar Plot in Python Conditional Expressions in Python Function annotations() in Python How to Write a Configuration file in Python Image to Text in python import() Function in Python Import py file in Python Multiple Linear Regression using Python Nested Tuple in Python Python String Negative Indexing Reading a File Line by Line in Python Python Comment Block Base Case in Recursive function python ER diagram of the Bank Management System in python Image to NumPy Arrays in Python NOT IN operator in Python One Liner If-Else Statements in Python Sklearn in Python Python Ternary Operators Self in Python Python vs Java Python Modulo Python Packages Python Syntax Python Uses Python Bitwise Operators Python Identifiers Python Matrix Multiplication Python AND Operator Python Logical Operators Python Multiprocessing Python Unit Testing __init__ in Python Advantages of Python Is Python Case-sensitive when Dealing with Identifiers Python Boolean Python Call Function Python History Python Image Processing Python main() function Python Permutations and Combinations Difference between Input() and raw_input() functions in Python Conditional Statements in python Confusion Matrix Visualization Python Python Algorithms Python Modules List Difference between Python 2 and Python 3 Is Python Case Sensitive Method Overloading in Python Python Arithmetic Operators Assignment Operators in Python Is Python Object Oriented Programming language Division in Python Python exit commands Continue And Pass Statements In Python Colors In Python Convert String Into Int In Python Convert String To Binary In Python Convert Uppercase To Lowercase In Python Convert XML To JSON In Python Converting Set To List In Python Covariance In Python CSV Module In Python Decision Tree In Python Difference Between Yield And Return In Python Dynamic Typing In Python

How to

How to Substring a String in Python How to Iterate through a Dictionary in Python How to convert integer to float in Python How to reverse a string in Python How to take input in Python How to install Python in Windows How to install Python in Ubuntu How to install PIP in Python How to call a function in Python How to download Python How to comment multiple lines in Python How to create a file in Python How to create a list in Python How to declare array in Python How to clear screen in Python How to convert string to list in Python How to take multiple inputs in Python How to write a program in Python How to compare two strings in Python How to create a dictionary in Python How to create an array in Python How to update Python How to compare two lists in Python How to concatenate two strings in Python How to print pattern in Python How to check data type in python How to slice a list in python How to implement classifiers in Python How To Print Colored Text in Python How to develop a game in python How to print in same line in python How to create a class in python How to find square root in python How to import numy in python How to import pandas in python How to uninstall python How to upgrade PIP in python How to append a string in python How to open a file in python How to Open a file in python with Path How to run a Python file in CMD How to change the names of Columns in Python How to Concat two Dataframes in Python How to Iterate a List in Python How to learn python Online How to Make an App with Python

Sorting

Python Sort List Sort Dictionary in Python Python sort() function Python Bubble Sort

Programs

Factorial Program in Python Prime Number Program in Python Fibonacci Series Program in Python Leap Year Program in Python Palindrome Program in Python Check Palindrome In Python Calculator Program in Python Armstrong Number Program in Python Python Program to add two numbers Anagram Program in Python Even Odd Program in Python GCD Program in Python Python Exit Program Python Program to check Leap Year Operator Overloading in Python Pointers in Python Python Not Equal Operator Raise Exception in Python Salary of Python Developers in India What is a Script in Python

Python Uses

Python is an object-oriented programming language with a high level of abstraction. It was created in 1991 by Guido Van Rossum (in February). Two programming languages have affected or influenced it:

  1. Modula-3
  2. ABC Language

According to the TIOBE index, which ranks computer language popularity behind the world's most popular languages, such as Java and C, Python ranks as the world's third most used programming language. Python's widespread use can be attributed to several factors.

Although Python was created in the early 1990s, it now competes in popularity with ever-popular languages such as C, C++, Java, and others. Although it is not suitable for every application, it has several advantages that make it a viable option in various circumstances.

Advantages of Python

Let's Look at Some of Python's advantages.

  1. Expressive language
    Python's expressiveness implies it can express the code's goal more effectively than many other languages. Wondering why this is so? Because in Python, the lines of code are comparatively fewer than in other languages as the syntax of Python is much easier than that of others.
    Consider the following two sets of codes as an example:
    • Python program to swap values:
      x, y=10,789
      x, y=y, x
    • C++ program to swap values:
      int x=10, y=789, sap ;
      sap = x ;
      x = y ;
      y = sap ;
      The python program above is concise and easy to understand, as you can see.
  2. Simple to use
    Python is a simple object-oriented programming language with simple syntax restrictions, and it is also compact. It's a fairly high-level language. Thus it's ideal for programmers.
  3. Free to use and open-source
    Python is a free, open-source programming language (from www.python.org). It is free and comes with the source code, or full program instructions, making it open source. The best thing about Open-Source Software is that the source code for open-source software is available for anybody to view, alter, and improve, making its usage easier.
  4. It is an interpreted language.
    Python reads and evaluates the code line by line; therefore, it can't be a compiled language but rather an interpreted language. Python has become an easy-to-debug language suited for both novices and advanced users.
  5. A language that works on multiple platforms
    Python is a platform-independent programming language, which means Python is capable of running on Various platforms that may include Windows, Linux/Unix, mobile devices, etc. As a result, Python can be classified as a portable language.
  6. Its comprehensiveness
    At the moment, when one installs Python, then they get everything needed to get started with doing serious work. There is no need to download or install a library other than that generally. The good thing is that several modules are included in The Python standard library that provides a wide range of useful features.
    For example, it is used for various functions such as emails, web pages, and databases. GUI development python is noted for sticking to the "Batteries Included" philosophy.
  7. Various applications and usages
    Over the years, Python has grown into a sophisticated, comprehensive, and useful language. Python is now used in a wide range of fields and applications, including the following:
    • Game development
    • Database Applications
    • Rapid Prototyping
    • GUI Programs
    • System Administrations
    • Scripting
    • Web Applications

Disadvantages of Python

Although Python is a powerful yet simple language with several benefits, it is not the ideal programming language. Python does not provide much or is not very capable in several areas. Let's examine what they are:

  1. It has lesser libraries than Perl, C, Java, etc
    Python provides library support for practically all computing programs, but it still falls short of languages like C, Java, and others, which have larger libraries. These languages may, in some circumstances, provide better and more diverse solutions than Python.
  2. Python cannot be called the fastest language.
    Python is defined as an interpreted language. Thus it cannot be considered the fastest language. A Python interpreter initially semi-compiles Python into internal byte code, which is subsequently used. Completely compliant languages are faster than those that are interpreted. So, while Python offers faster development times, its execution times are not as fast as compiled built languages.
  3. It is not easily convertible.
    Python is a simple language to write in since it lacks syntax. Still, this advantage has a drawback: it becomes a disadvantage when converting a program into another language because most other programming languages have a structured, defined syntax.

    Because most programming languages have a powerful syntax, translating Python to another language would necessitate a thorough examination of the Python code and its structure, followed by implementing the same structure into the syntax of another programming language.
  4. It is not strong on type-binding
    The Python interpreter isn't very good at detecting "type-mismatch" problems if a variable is declared initially as an integer. Still, later on, if we put a string value in it, there would be no complaints or flags by the side of Python.

Uses of Python Language

  1. Creation of a game
    Games! As interesting as they feel about playing similarly, making interactive games is interesting, and that can be done with great convenience using Python. PyGame is a framework that provides capabilities and a library for game development, while PySoy is a 3D game engine that supports Python 3. Civilization IV, Disney's Toontown Online, and Vega Strike are just a few games that have used Python.
  2. Data visualization and Data Science
    If one knows how to extract data, then data is money that can help you take appropriate risks and increase your revenue. You look over your data, run operations, and extract the necessary information. Two libraries that can help you extract data are Pandas and NumPy.
    You may also view data packages like Matplotlib and Seaborn, which are useful for graph plotting. If one wishes to work as a Data Scientist, then Python provides a pool of opportunities with the offers provided above, and there is still more.
  3. Web design and development
    Web applications, a wonderful task that demands great knowledge and hard work, can be quickly created using Python. It's because Python uses frameworks to create these programs. These frameworks include common backend logic and many libraries that can help with protocols like HTTPS, FTP, SSL, JSON, XML, and Email processing, among other things.
  4. A graphical user interfaces for the desktop.
    The programming language we use to generate desktop applications in Python. Creating User Interfaces may sound complex, but Python allows The Tkinterlibrary to do so easily.wxWidgets, Kivy, and PYQT are other useful toolkits that can be used to construct programs for many platforms.
    You can begin by designing simple programs such as calculators and to-do lists, then progress to far more complex applications.
  5. One of the best programming languages for Artificial Intelligence and Machine Learning
    The hottest topics in town are machine learning and artificial intelligence, which promise the most promising future careers. We can either store data to teach the computer to learn based on previous experiences or create algorithms to educate the machine to learn on its own. Python is a programming language (most widely used) that supports these fields by incorporating libraries such as Pandas, Scikit-Learn, NumPy, and others.
    The task can be solved by understanding the algorithm and utilizing the library. That's all there is to it.
    However, if you want to go all out, you may write your code which produces a superior solution while still being much easier than other languages.
  6. Web scraping applications
    The website contains a large amount of data that needs to be extracted which is then utilized in real-world applications like job advertising, comparison of prices, research and development, and much more. Python is invaluable for this extraction work.
  7. Applications for business
    Business Apps are different from our ordinary apps in that they cover many topics such as e-commerce, ERP, and more. They require scalable, extensible, and simple apps to read, and Python fits the bill. One of the platforms one can use to generate business applications is 'Tryton’.
  8. Computer-aided design applications
    In Computer-Aided, creating a design is challenging because there are so many things to consider if we name a few. They are functions and objects, and their representations are just the tip of the iceberg when it comes to anything like this. Fandango is the most well-known CAD application, and Python also makes this simple.
  9. Applications for embedded systems
    Python can be used to create Embedded C software for embedded applications because it is based on C. This allows us to execute higher-level programs on machines with Python computation capabilities.
    The Raspberry Pi, which runs on Python, maybe the most well-known embedded program. It can be used as a computer or a basic embedded board if one wishes to perform high-level computations.
  10. Audio and video applications
    Python is used to create multi-tasking programs that can also produce media. Python libraries have been used to create video and audio apps such as TimPlayer and Clay. In comparison to other media players, they offer more consistency and performance.
  11. Python's standard library supports a wide range of internet protocols
    Python's Standard Library supports many Internet Protocols, including HTML, XML, and JSON email processing. FTP, IMAP, and other Internet protocols and a user-friendly socket interface are supported.
  12. Scientific and numeric
    Programming languages like Python are frequently employed in scientific and numerical computing:
    SciPy is a set of Python modules for math, science, and engineering.
    For data analysis and modelling, there is a library in Python called Pandas.
    IPython is a powerful interactive shell that supports visualizations, parallel computing, and simple editing and recording of work sessions.
    The Software Carpentry Course provides open-access teaching materials and runs boot camps to teach basic skills in scientific computing.
  13. Python is a friendly language for education.
    Python is a fantastic language for training beginners and intermediate programs due to its attractive, useful features and ease.
    The Education Special Interest Group is a great place to discuss teaching-related topics.
  14. Blockchain
    While there are a few major blockchain languages, such as Javascript, Java, C++, and others, Python is proven to be a powerful language. Python is a good choice for blockchain development because of its great flexibility and usefulness, backed up by its security.
  15. Search engine optimization (SEO)
    Python is a programming language that aids SEO professionals in automating operations and retrieving and analyzing massive volumes of data. Python can be used to analyze big data sets to find website flaws, such as broken links, and to automate fixes to these issues to reduce time-consuming processes and eliminate human error.

Conclusion:

The Python programming language offers a wide range of applications, which is one of the reasons it has been so popular since its introduction. Python is a powerful, versatile programming language that caters to professionals in many fields, not only coders. This, paired with Python's simplicity and ease of learning, explains why the language has become so popular in many domains.



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