Python Tutorial

Introduction Python Features Python Applications System requirements for Python Python Installation Python Basics 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 Anonymous/Lambda Function in Python

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 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 Calendar Module  

Python MySQL

Python MySQL Python MySQL Update Operation Python MySQL Delete Operation

Python MongoDB

Python MongoDB

Python Data Structure Implementation

Python Stack Python Queue Python Hash Table Python Graph

Python Advance Topics

Speech Recognition in Python Face Recognition in Python Python Rest API Python Command Line Arguments Python JSON Python Virtual Environment Type Casting in Python Collections in python Python Enumerate Python Debugger Python DefaultDict


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 List Comprehension in Python3 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 Python Ternary Operators Self in Python Python vs Java Python Modulo Python Packages Python Syntax Python Uses Python Logical Operators Python Multiprocessing Python History 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 Design patterns in python 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 Abstract design pattern in python Builder design pattern in python Prototype design pattern in Python Creational design patterns in Python

How to

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


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


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 Singleton design pattern in python

Python vs R

Python: -

Python is a popular high-level, general-purpose programming language. Python (the most recent version is Python 3) is a programming language used in the software industry for website development, machine learning software, and cutting-edge technologies. The Python Software Foundation started to advance python, which was founded by Guido van Rossum in 1991. Its syntax was created with programmers in mind, allowing them to express themselves with fewer lines of code.

The Python interpreter and libraries are available for free Python is a popular programming language amongst programmers because it allows them to create more efficient programmes.

It includes libraries that enable advanced functionality, such as Scikit, Keras, Tensorflow, Matplotlib, NumPy, Pandas, etc. Because it is an interpreted language, debugging the program is a breeze. The inclusion of Jupyter Notebook, a web program that allows you to share code in real-time, smooths up the data science explanations.

Several Python libraries are available to help with data science activities, including the ones listed below: -

  • Numpy is a Python library that lets you work with multidimensional arrays of any size.
  • Pandas is a data manipulation and analysis computer language.
  • Matplotlib is a package for displaying data graphs.
  • Python is also well-suited to machine learning deployments on a broad scale.

It is among the most adaptable languages. It's clean, simple to use, and well-organized. The versatility of Python makes the quantitative research method a breeze. Python is object-oriented, yet it transitions to functional features, allowing it to fit into various programming paradigms.

Python is a simple program to install. It features among the most active community forums, and anyone can help improve the packages and their functionality.

Many libraries are required to carry out significant data science-related functions in Python.

Its integration and control features improve productivity and save time.

Python programmes can be embedded in other programmes. Python can be used in conjunction with other coding languages like C++.

Python does not work on Android or iOS devices. In such an atmosphere, developers argue that it is poor language. It can, however, also be used for additional effort.

Python uses a substantial amount of memory. If more objects need to be accessible, the process slows down, which can turn into a disadvantage of python.

Python's database access layers are immature compared to Java Database Connectivity (JDBC) and Open Database Connectivity (ODBC), making it a less popular database connectivity option.

Python's Global Interpreter Lock makes it difficult to simultaneously thread or flow many functions.

R: –

R is a computer language for statistics analysis and data visualisation that is free and open-source.R, first released in 1992, has a diverse ecosystem that includes complex data models and beautiful data reporting capabilities. The Comprehensive R Archive Network (CRAN) has over 13,000 R packages for deep analytics at the time of writing.

It is feasible to locate a library for every type of analysis you wish to conduct Due to its enormous library, R is the best alternative for data analysis, particularly for specialty analytical jobs. Making reports are simple and attractive. Knitr is a Rstudio-supplied library.Xie Yihui created this package.

R is a popular choice among data science professors and researchers because it has a wide range of libraries and tools for: -

  • Data cleansing and preparation
  • Making visual representations
  • Machine learning and deep learning algorithms are being trained and evaluated.

R is a freely downloaded and used open-source programming language. It is also possible to contribute by improving the source code. R is platform-agnostic, meaning it can run on any operating system, including UNIX, Windows, and Mac.

R can organise a chaotic codebase using tools like readr and dplyr.

R makes appealing graphs with representations and formulas using ggplot and plotly.

Machine learning, data analysis, and statistical projects can all be developed with R's numerous packages.

R uses more memory since all items are saved in physical memory. As the program accumulates more data, the procedure slows down.

R lacks fundamental security, making it difficult to integrate into web applications.

R is a language that takes a long time to process .Other programming languages, such as MATLAB and Python, take longer to generate output.

Data management in R is time-consuming since it necessitates having all the data in one place. Big Data isn't a suitable fit for it. However, it has a feature that makes handling a little easier.