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  1. Asked: July 20, 2024In: Education

    What are python modules? Name some commonly used built-in modules in Python?

    Aryan Prajapat
    Aryan Prajapat Knowledge Contributor
    Added an answer on July 20, 2024 at 9:23 am

    Python modules are files containing Python code. This code can either be functions classes or variables. A Python module is a .py file containing executable code. Some of the commonly used built-in modules are: os sys math random data time JSON

    Python modules are files containing Python code. This code can either be functions classes or variables. A Python module is a .py file containing executable code.

    Some of the commonly used built-in modules are:

    os
    sys
    math
    random
    data time
    JSON

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  2. Asked: July 20, 2024In: Education

    What is namespace in Python?

    Aryan Prajapat
    Aryan Prajapat Knowledge Contributor
    Added an answer on July 20, 2024 at 9:19 am

    A namespace is a naming system used to make sure that names are unique to avoid naming conflicts.

    A namespace is a naming system used to make sure that names are unique to avoid naming conflicts.

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  3. Asked: July 20, 2024In: Education

    How is memory managed in Python?

    Aryan Prajapat
    Aryan Prajapat Knowledge Contributor
    Added an answer on July 20, 2024 at 9:19 am

    Memory is managed in Python in the following ways: 1. Memory management in python is managed by Python private heap space. All Python objects and data structures are located in a private heap. The programmer does not have access to this private heap. The python interpreter takes care of this insteadRead more

    Memory is managed in Python in the following ways:

    1. Memory management in python is managed by Python private heap space. All Python objects and data structures are located in a private heap. The programmer does not have access to this private heap. The python interpreter takes care of this instead.
    2. The allocation of heap space for Python objects is done by Python’s memory manager. The core API gives access to some tools for the programmer to code.
    3. Python also has an inbuilt garbage collector, which recycles all the unused memory and so that it can be made available to the heap space.

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  4. Asked: July 20, 2024In: Education

    What are the new features added in Python 3.9.0.0 version?

    Aryan Prajapat
    Aryan Prajapat Knowledge Contributor
    Added an answer on July 20, 2024 at 9:17 am

    The new features in Python 3.9.0.0 version are- 1.New Dictionary functions Merge(|) and Update(|=) 2. New String Methods to Remove Prefixes and Suffixes 3. Type Hinting Generics in Standard Collections 4. New Parser based on PEG rather than LL1 5. New modules like zoneinfo and graphlib 6. Improved MRead more

    The new features in Python 3.9.0.0 version are-

    1.New Dictionary functions Merge(|) and Update(|=)
    2. New String Methods to Remove Prefixes and Suffixes
    3. Type Hinting Generics in Standard Collections
    4. New Parser based on PEG rather than LL1
    5. New modules like zoneinfo and graphlib
    6. Improved Modules like ast, asyncio, etc.
    7. Optimizations such as optimized idiom for assignment, signal handling, optimized python built ins, etc.
    8. Deprecated functions and commands such as deprecated parser and symbol modules, deprecated functions, etc.
    9. Removal of erroneous methods, functions, etc.

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  5. Asked: July 20, 2024In: Education

    What are Literals in Python and explain about different Literals?

    Aryan Prajapat
    Aryan Prajapat Knowledge Contributor
    Added an answer on July 20, 2024 at 9:16 am

    A literal in python source code represents a fixed value for primitive data types. There are 5 types of literals in python- 1. String literals– A string literal is created by assigning some text enclosed in single or double quotes to a variable. To create multiline literals, assign the multiline texRead more

    A literal in python source code represents a fixed value for primitive data types. There are 5 types of literals in python-

    1. String literals– A string literal is created by assigning some text enclosed in single or double quotes to a variable. To create multiline literals, assign the multiline text enclosed in triple quotes. Eg.name=”Tanya”.

    2. A character literal– It is created by assigning a single character enclosed in double quotes. Eg. a=’t’.

    3. Numeric literals include numeric values that can be either integer, floating point value, or a complex number. Eg. a=50.

    4. Boolean literals– These can be 2 values- either True or False.

    5. Literal Collections– These are of 4 types-
    a) List collections-Eg. a=[1,2,3,’Amit’]
    b) Tuple literals- Eg. a=(5,6,7,8)
    c) Dictionary literals- Eg. dict={1: ’apple’, 2: ’mango, 3: ’banana`’}
    d) Set literals- Eg. {“Tanya”, “Rohit”, “Mohan”}

    6. Special literal- Python has 1 special literal None which is used to return a null variable.

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  6. Asked: July 20, 2024In: Education

    What are Keywords in Python?

    Aryan Prajapat
    Aryan Prajapat Knowledge Contributor
    Added an answer on July 20, 2024 at 9:11 am

    Keywords in python are reserved words that have special meaning.They are generally used to define type of variables. Keywords cannot be used for variable or function names. There are following 33 keywords in python- And Or Not If Elif Else For While Break As Def Lambda Pass Return True False Try WitRead more

    Keywords in python are reserved words that have special meaning.They are generally used to define type of variables. Keywords cannot be used for variable or function names. There are following 33 keywords in python-

    And
    Or
    Not
    If
    Elif
    Else
    For
    While
    Break
    As
    Def
    Lambda
    Pass
    Return
    True
    False
    Try
    With
    Assert
    Class
    Continue
    Del
    Except
    Finally
    From
    Global
    Import
    In
    Is
    None
    Nonlocal
    Raise
    Yield

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  7. Asked: July 20, 2024In: Education

    What is slicing in Python?

    Aryan Prajapat
    Aryan Prajapat Knowledge Contributor
    Added an answer on July 20, 2024 at 9:11 am

    Slicing is used to access parts of sequences like lists, tuples, and strings. The syntax of slicing is-[start:end:step]. The step can be omitted as well. When we write [start:end] this returns all the elements of the sequence from the start (inclusive) till the end-1 element. If the start or end eleRead more

    Slicing is used to access parts of sequences like lists, tuples, and strings. The syntax of slicing is-[start:end:step]. The step can be omitted as well. When we write [start:end] this returns all the elements of the sequence from the start (inclusive) till the end-1 element. If the start or end element is negative i, it means the ith element from the end. The step indicates the jump or how many elements have to be skipped. Eg. if there is a list- [1,2,3,4,5,6,7,8]. Then [-1:2:2] will return elements starting from the last element till the third element by printing every second element.i.e. [8,6,4].

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  8. Asked: July 20, 2024In: Education

    What is the difference between .py and .pyc files?

    Aryan Prajapat
    Aryan Prajapat Knowledge Contributor
    Added an answer on July 20, 2024 at 9:09 am

    The .py files are the python source code files. While the .pyc files contain the bytecode of the python files. .pyc files are created when the code is imported from some other source. The interpreter converts the source .py files to .pyc files which helps by saving time.

    The .py files are the python source code files. While the .pyc files contain the bytecode of the python files. .pyc files are created when the code is imported from some other source. The interpreter converts the source .py files to .pyc files which helps by saving time.

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  9. Asked: July 20, 2024In: Education

    .What are the common built-in data types in Python?

    Aryan Prajapat
    Aryan Prajapat Knowledge Contributor
    Added an answer on July 20, 2024 at 9:08 am

    The common built-in data types in python are- Numbers– They include integers, floating-point numbers, and complex numbers. eg. 1, 7.9,3+4i List– An ordered sequence of items is called a list. The elements of a list may belong to different data types. Eg. [5,’market’,2.4] Tuple– It is also an orderedRead more

    The common built-in data types in python are-

    Numbers– They include integers, floating-point numbers, and complex numbers. eg. 1, 7.9,3+4i

    List– An ordered sequence of items is called a list. The elements of a list may belong to different data types. Eg. [5,’market’,2.4]

    Tuple– It is also an ordered sequence of elements. Unlike lists , tuples are immutable, which means they can’t be changed. Eg. (3,’tool’,1)

    String– A sequence of characters is called a string. They are declared within single or double-quotes. Eg. “Sana”, ‘She is going to the market’, etc.

    Set– Sets are a collection of unique items that are not in order. Eg. {7,6,8}

    Dictionary– A dictionary stores values in key and value pairs where each value can be accessed through its key. The order of items is not important. Eg. {1:’apple’,2:’mango}

    Boolean– There are 2 boolean values- True and False.

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  10. Asked: July 20, 2024In: Education

    What are Dict and List comprehensions?

    Aryan Prajapat
    Aryan Prajapat Knowledge Contributor
    Added an answer on July 20, 2024 at 9:07 am

    Dictionary and list comprehensions are just another concise way to define dictionaries and lists. Example of list comprehension is- 1 x=[i for i in range(5)] The above code creates a list as below- 1 2 4 [0,1,2,3,4] Example of dictionary comprehension is- 1 x=[i : i+2 for i in range(5)] The above coRead more

    Dictionary and list comprehensions are just another concise way to define dictionaries and lists.

    Example of list comprehension is-

    1
    x=[i for i in range(5)]
    The above code creates a list as below-

    1
    2
    4
    [0,1,2,3,4]
    Example of dictionary comprehension is-

    1
    x=[i : i+2 for i in range(5)]
    The above code creates a list as below-

    1
    [0: 2, 1: 3, 2: 4, 3: 5, 4: 6]

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