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Python_N-004. 10 basic attributes in array no.AttributeDescriptionexample code1ndimThe number of dimensions of the array.import numpy as np arr = np.array(  [ [1, 2, 3], [4, 5, 6] ]  )   print(arr.ndim)  # Output: 22shapeThe shape of the array (dimensions).print(arr.shape)  # Output: (2, 3)3sizeThe total number of elements in the array.print(arr.size)  # Output: 64dtypeThe data type of the array’s elements.print(arr.dtype)  # Output: int..
Python_N-003. Data Type in array Data TypeDescriptionbool_Boolean (True or False) stored as a byteint_Default integer type (similar to Python's int)intcIdentical to C's intintpInteger type used for indexing (similar to C's ssize_t)int8Byte (-128 to 127)int16Integer (-32768 to 32767)int32Integer (-2147483648 to 2147483647)int64Integer (-9223372036854775808 to 9223372036854775807)float_Shorthand for float64float16Half precision f..
Python_N-002. random module DecriptionCode ExampleOutput (example)Generate a random float between 0 and 1random_float = np.random.rand()andom_array = np.random.rand(5)random_2d_array = np.random.rand(3, 4) 0.73206853[0.183, 0.237, ...][[0.57, 0.84], ...] Generate random integersrandom_int = np.random.randint(10)random_int_array = np.random.randint(1, 10, size=5) 7[4, 2, 6, ...] Normal distribution random numbersnormal_arra..
Python_N-001. basic commend in Numpy A summary of the basic commands for using NumPy. OperationCommandDescriptionImport NumPyimport numpy as npImport the NumPy libraryCreate Arraynp.array( [1, 2, 3] )Create an array from a listArray of Zerosnp.zeros( 5 )Create an array of zerosArray of Onesnp.ones( 5 )Create an array of onesIdentity Matrixnp.eye(3)Create a 3x3 identity matrixFull Array np.full(  (3, 3),  fill_value  ) Create an a..
Python_G-010. class vs instance ClassInstanceDefinitionBlueprint for creating objectsAn individual object created from a classAttributesDefines attributesContains data specific to the instanceMethodsDefines methodsCan use the class-defined methodsExampleclass Dog:my_dog = Dog("Buddy", 3)UsageUsed to define structure and behaviorUsed to create objects that follow the class blueprint
Python_G-009. import vs from ... import vs from... import * Aspectimportfrom ... importfrom ... import *UsageImports the entire moduleImports specific functions or classes from a moduleImports all functions, classes and variables into namespaceExampleimport mathfrom math import sqrtfrom math import *AccessRequires prefixing with module name (math.sqrt)Direct access to imported elements (sqrt)Direct access without prefix (sqrt)Pros - Avoids naming conflic..
Python_G-008. Function DefinitionA block of reusable code that performs a specific task.def function_name(parameters):Syntaxdef function_name():def greet(name):Calling a FunctionExecuting a function by using its name followed (by parentheses and arguments if needed)greet("Alice")ParametersVariables listed inside the parentheses in the function definition.def add(a, b):ArgumentsValues passed to the function when callin..
Python_G-007. List vs Tuple vs set vs dictionary FeatureListTupleSetDictionarySyntaxusing square brackets [   ]using parentheses (   )using curly braces {   }using curly braces { 'key': 'value', 'key2': 'value2' }Example[1, 2, 3](1, 2, 3){1, 2, 3}{'name': 'Alice', 'age': 30}MutabilityMutableImmutableMutableMutableOrderedYesYesNoYesAllow DuplicatesYesYesNoKeys: No, Values: YesMethodsMany built-in methods - append( item ) - remove( item ) - sort..

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