Run a mock round

Jython is the implementation of Python written in Java. It compiles Python source code directly into Java bytecode, allowing Python scripts to seamlessly interact with Java classes and JVM libraries.

List and Dictionary comprehensions provide a concise, declarative syntax to construct new lists and dictionaries from existing iterables:

### 1. List Comprehension:
Syntax: [expression for item in iterable if condition]

# Traditional approach
squares = []
for x in range(10):
    if x % 2 == 0:
        squares.append(x ** 2)

# Comprehension equivalent (faster & cleaner)
squares = [x ** 2 for x in range(10) if x % 2 == 0]
# Result: [0, 4, 16, 36, 64]

### 2. Dictionary Comprehension:
Syntax: {key_expr: value_expr for item in iterable if condition}

users = [("alice", 28), ("bob", 34), ("carol", 22)]
adult_map = {username: age for username, age in users if age >= 25}
# Result: {'alice': 28, 'bob': 34}

### Why Comprehensions Are Preferred:
Comprehensions execute at C-level speed in CPython, bypassing the overhead of repeated Python bytecode LIST_APPEND instructions, while producing readable and expressive code.

# Python code to check a given sequence
# is palindrome or not
my_string1 = 'MOM'
My_string1 = my_string1.casefold()
# reverse the given string
rev_string1 = reversed(my_string1)
# check whether the string is equal to the reverse of it or not
if list(my_string1) == list(rev_string1):
print("It is a palindrome")
else:
print("It is not a palindrome")
Output:

1
it is a palindrome

Python provides a comprehensive set of built-in data types organized into distinct structural families:

### 1. Numeric Types:

• int: Unlimited-precision integers.
• float: Double-precision 64-bit IEEE 754 floating-point numbers.
• complex: Complex numbers with real and imaginary parts (3 + 4j).

### 2. Sequence Types:

• str: Unicode character sequences.
• list: Mutable heterogeneous sequences ([1, 'a', True]).
• tuple: Immutable sequences ((1, 2, 3)).
• range: Memory-efficient sequence of numbers.

### 3. Set Types:

• set: Mutable collection of unique, hashable items.
• frozenset: Immutable counterpart of set.

### 4. Mapping Type:

• dict: Key-value hash map ({'id': 101}).

### 5. Binary Types:

• bytes, bytearray, memoryview.

### 6. Boolean & None:

• bool: Subtype of integer (True or False).
• NoneType: The singleton None representing absence of value.

CommonsChunkPlugin – creates a separate file (known as a chunk), consisting of common modules shared between multiple entry points.
DefinePlugin – allows you to create global constants which can be configured at compile time.
HtmlWebpackPlugin – simplifies creation of HTML files to serve your webpack bundles.
ExtractTextWebpackPlugin – Extract text from a bundle, or bundles, into a separate file.
CompressionWebpackPlugin – Prepare compressed versions of assets to serve them with Content-Encoding.

The built-in datatypes in Python is called dictionary. It def ines one-to-one relationship between keys and values. Dictionaries contain pair of keys and their corresponding values. Dictionaries are indexed by keys.

Let's take an example:

The following example contains some keys. Country, Capital & PM. Their corresponding values are India, Delhi and Modi respectively.

1
dict={'Country':'India','Capital':'Delhi','PM':'Modi'}
1
print(dict[Country])
India
1
print(dict[Capital])
Delhi
1
print(dict[PM])
Modi

To install Python on Windows, follow the below steps:

Install python from this link: https://www.python.org/downloads/
After this, install it on your PC. Look for the location where PYTHON has been installed on your PC using the following command on your command prompt: cmd python.
Then go to advanced system settings and add a new variable and name it as PYTHON_NAME and paste the copied path.
Look for the path variable, select its value and select 'edit'.
Add a semicolon towards the end of the value if it's not present and then type %PYTHON_HOME%

Declaration-wise:

New-style classes inherit from object, or from another new-style class.

class NewStyleClass(object):
    pass

class AnotherNewStyleClass(NewStyleClass):
pass
Old-style classes don't.

class OldStyleClass():
    pass

Python 3 Note:

Python 3 doesn't support old style classes, so either form noted above results in a new-style class.

Also, MRO (Method Resolution Order) changed:

Classic classes do a depth first search from left to right. Stop on first match. They do not have the mro attribute.
New-style classes MRO is more complicated to synthesize in a single English sentence. One of its properties is that a Base class is only searched for once all its Derived classes have been. They have the mro attribute which shows the search order.
Some other notes:

New style class objects cannot be raised unless derived from Exception.
Old style classes are still marginally faster for attribute lookup.

A function is an object which represents a block of code and is a reusable entity. It brings modularity to a program and a higher degree of code reusability.

Python has given us many built-in functions such as print() and provides the ability to create user-def ined functions.