Python Samplifier

  1. built_in_functions
    1. Python abs()
      1. Description Python abs()
    2. Python all()
      1. Description Python all()
    3. Python any()
      1. Description Python any()
    4. Python ascii()
      1. Description Python ascii()
    5. Python bin()
      1. Description Python bin()
    6. Python bool()
      1. Description bool()
    7. Python bytearray()
      1. Description bytearray()
    8. Python bytes()
      1. Description bytes()
    9. Python callable()
      1. Description callable()
    10. Python chr()
      1. Description chr()
    11. Python classmethod()
      1. Description classmethod()
    12. Python compile()
      1. Description compile()
    13. Python complex()
      1. Description complex()
    14. Python delattr()
      1. Description delattr()
    15. Python dict()
      1. Description dict()
    16. Python dir()
      1. Description dir()
    17. Python divmod()
      1. Description divmod()
    18. Python enumerate()
      1. Description enumerate()
    19. Python eval()
      1. Description eval()
    20. Python exec()
      1. Description exec()
    21. Python filter()
      1. Description filter()
    22. Python float()
      1. Description float()
    23. Python format()
      1. Description format()
    24. Python frozenset()
      1. Description frozenset()
    25. Python getattr()
      1. Description getattr()
    26. Python globals()
      1. Description globals()
    27. Python hasattr()
      1. Description hasattr()
    28. Python hash()
      1. Description hash()
    29. Python help()
      1. Description help()
    30. Python hex()
      1. Description hex()
    31. Python id()
      1. Description id()
    32. Python input()
      1. Description input()
    33. Python int()
      1. Description int()
    34. Python isinstance()
      1. Description isinstance()
    35. Python issubclass()
      1. Description issubclass()
    36. Python iter()
      1. Description iter()
    37. Python len()
      1. Description len()
    38. Python list()
      1. Description list()
    39. Python locals()
      1. Description locals()
    40. Python map()
      1. Description map()
    41. Python max()
      1. Description max()
    42. Python memoryview()
      1. Description memoryview()
    43. Python min()
      1. Description min()
    44. Python next()
      1. Description next()
    45. Python object()
      1. Description object()
    46. Python oct()
      1. Description oct()
    47. Python open()
      1. Description open()
    48. Python ord()
      1. Description ord()
    49. Python pow()
      1. Description pow()
    50. Python print()
      1. Description print()
    51. Python property()
      1. Description property()
    52. Python range()
      1. Description Python range()
    53. Python repr()
      1. Description Python repr()
    54. Python reversed()
      1. Description Python reversed()
    55. Python round()
      1. Description Python round()
    56. Python set()
      1. Description Python set()
    57. Python setattr()
      1. Description Python setattr()
    58. Python slice()
      1. Description Python slice()
    59. Python sorted()
      1. Description Python sorted()
    60. Python staticmethod()
      1. Description Python staticmethod()
    61. Python str()
      1. Description Python str()
    62. Python sum()
      1. Description Python sum()
    63. Python super()
      1. Description Python super()
    64. Python tuple() Function
      1. Description tuple() Function
    65. Python type()
      1. Description type()
    66. Python vars()
      1. Description Python vars()
    67. Python zip()
      1. Description Python zip()
    68. Python __import__()
      1. Description Python __impot__()
  2. python1compute
    1. Python Program to Find Hash of File
    2. Python Program to Find the Size (Resolution) of a Image
    3. Python Program to Merge Mails
    4. Python Program to Count the Number of Each Vowel - Source Code: Using a list and a dictionary comprehension
    5. Python Program to Count the Number of Each Vowel - Source Code: Using Dictionary
    6. Python Program to Illustrate Different Set Operations
    7. Python Program to Sort Words in Alphabetic Order
    8. Python Program to Remove Punctuations From a String
    9. Python Program to Multiply Two Matrices - Matrix Multiplication Using Nested List Comprehension
    10. Python Program to Multiply Two Matrices - Source Code: Matrix Multiplication using Nested Loop
    11. Python Program to Transpose a Matrix - Matrix Transpose using Nested List Comprehension
    12. Python Program to Transpose a Matrix - Matrix Transpose using Nested Loop
    13. Python Program to Add Two Matrices - Source Code: Matrix Addition using Nested List Comprehension
    14. Python Program to Check Whether a String is Palindrome or Not
    15. Python Program to Add Two Matrices - Source code: Matrix Addition using Nested Loop
    16. Python Program to Convert Decimal to Binary Using Recursion
    17. Python Program to Find Factorial of Number Using Recursion
    18. Python Program to Find Sum of Natural Numbers Using Recursion
    19. Python Program to Display Fibonacci Sequence Using Recursion
    20. Python Program to Display Calendar
    21. Python Program to Shuffle Deck of Cards
    22. Python Program to Make a Simple Calculator
    23. Python Program to Find Factors of Number
    24. Python Program to Find LCM - Without using GCD function
    25. Python Program to Find HCF or GCD - Source Code: Using Euclidean Algorithm
    26. Python Program to Find LCM - Source Code: Using GCD function
    27. Python Program to Find HCF or GCD - Source Code: Using Loops
    28. Python Program to Find ASCII Value of Character
    29. Python Program to Convert Decimal to Binary, Octal and Hexadecimal
    30. Python Program to Find Numbers Divisible by Another Number
    31. Python Program To Display Powers of 2 Using Anonymous Function
    32. Python Program to Find the Sum of Natural Numbers
    33. Python Program to Find Armstrong Number in an Interval
    34. Python Program to Check Armstrong Number - Source Code: Check Armstrong number of n digits
    35. Python Program to Check Armstrong Number - Source Code: Check Armstrong number (for 3 digits)
    36. Python Program to Print the Fibonacci sequence
    37. Python Program to Display the multiplication Table
    38. Python Program to Find the Factorial of a Number
    39. Python Program to Print all Prime Numbers in an Interval
    40. Python Program to Find the Largest Among Three Numbers
    41. Python Program to Check Prime Number
    42. Python Program to Check Leap Year
    43. Python Program to Check if a Number is Odd or Even
    44. Python Program to Check if a Number is Positive, Negative or 0 Source Code: Using Nested if
    45. Python Program to Check if a Number is Positive, Negative or 0 Source Code: Using if...elif...else
    46. Python Program to Convert Celsius To Fahrenheit
    47. Python Program to Generate a Random Number
    48. Python Program to Convert Kilometers to Miles
    49. Python Program to Swap Two Variables Source Code: Without Using Temporary Variable
    50. Python Program to Swap Two Variables Source Code: Using temporary variable
    51. Python Program to Solve Quadratic Equation
    52. Python Program to Calculate the Area of a Triangle
    53. Python Program to Find the Square Root Source code: For real or complex numbers using cmath module
    54. Python Program to Find the Square Root Source Code: For positive numbers using exponent **
    55. Python Program to Add Two Numbers By One Line
    56. Python Program to Add Two Numbers Source Code: Add Two Numbers Provided by The User
    57. Python Program to Add Two Numbers
    58. Python Program to Print Hello world!
  3. python2based
    1. firstone
    2. second
    3. third
    4. fourth
    5. fifth
    6. sixth
    7. seventh
    8. eighth
    9. ninth
    10. tenth


  1. Description of sorting function

Python Samplifier


Python - High-level programming language


Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991,
Python has a design philosophy that emphasizes code readability, notably using significant whitespace. It provides constructs that enable clear programming on both small and large scales.
WikipediaTyping discipline: Duck, dynamic, gradual (since 3.5), strong
Designed by: Guido van RossumStable release: 3.7.2 / 24 December 2018; 18 days ago; 2.7.15 / 1 May 2018; 8 months ago
Filename extensions: .py,.pyc,.pyd,.pyo (prior to 3.5),.pyw,.pyz (since 3.5)
Paradigm: Multi-paradigm: functional, imperative, object-oriented, reflective
Influenced: Boo, Cobra, CoffeeScript, D, F#, Genie, Go, Groovy, JavaScript, Julia, Nim, Ring, Ruby, Swift

Python features a dynamic type system and automatic memory management. It supports multiple programming paradigms, including object-oriented, imperative, functional and procedural,
and has a large and comprehensive standard library.[29]
Python interpreters are available for many operating systems. CPython, the reference implementation of Python, is open source software[30] and has a community-based development model, as do nearly all of Python's other implementations. Python and CPython are managed by the non-profit Python Software Foundation.

Features and philosophy

Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of its features support functional programming and aspect-oriented programming(including by metaprogramming and metaobjects (magic methods)). Many other paradigms are supported via extensions, including design by contract and logic programming.
Python uses dynamic typing, and a combination of reference counting and a cycle-detecting garbage collector for memory management. It also features dynamic name resolution (late binding), which binds method and variable names during program execution.
Python's design offers some support for functional programming in the Lisp tradition. It has filter(), map(), and reduce() functions; list comprehensions, dictionaries, and sets; and generator expressions. The standard library has two modules (itertools and functools) that implement functional tools borrowed from Haskell and Standard ML.
The language's core philosophy is summarized in the document The Zen of Python (PEP 20), which includes aphorisms such as:
• Beautiful is better than ugly
• Explicit is better than implicit
• Simple is better than complex
• Complex is better than complicated
• Readability counts
Rather than having all of its functionality built into its core, Python was designed to be highly extensible. This compact modularity has made it particularly popular as a means of adding programmable interfaces to existing applications. Van Rossum's vision of a small core language with a large standard library and easily extensible interpreter stemmed from his frustrations with ABC, which espoused the opposite approach.
While offering choice in coding methodology, the Python philosophy rejects exuberant syntax (such as that of Perl) in favor of a simpler, less-cluttered grammar. As Alex Martelli put it: "To describe something as 'clever' is not considered a compliment in the Python culture." Python's philosophy rejects the Perl "there is more than one way to do it" approach to language design in favor of "there should be one—and preferably only one—obvious way to do it".[49]
Python's developers strive to avoid premature optimization, and reject patches to non-critical parts of the CPython reference implementation that would offer marginal increases in speed at the cost of clarity. When speed is important, a Python programmer can move time-critical functions to extension modules written in languages such as C, or use PyPy, a just-in-time compiler. Cython is also available, which translates a Python script into C and makes direct C-level API calls into the Python interpreter.
An important goal of Python's developers is keeping it fun to use. This is reflected in the language's name—a tribute to the British comedy group Monty Python—and in occasionally playful approaches to tutorials and reference materials, such as examples that refer to spam and eggs (from a famous Monty Python sketch) instead of the standard foo and bar.
A common neologism in the Python community is pythonic, which can have a wide range of meanings related to program style. To say that code is pythonic is to say that it uses Python idioms well, that it is natural or shows fluency in the language, that it conforms with Python's minimalist philosophy and emphasis on readability. In contrast, code that is difficult to understand or reads like a rough transcription from another programming language is called unpythonic.
Users and admirers of Python, especially those considered knowledgeable or experienced, are often referred to as Pythonists, Pythonistas, and Pythoneers.