numpy basics

numpy/1.numpy.py

@@ -1,75 +1,87 @@
-# Importing NumPy
 import numpy as np
 
-# Creating Arrays:
+# # Creating Arrays:
 
-# 1D array
+# # 1D array
 arr_1d = np.array([1, 2, 3])
-print("1D Array:")
-print(arr_1d)
-
-# 2D array
-arr_2d = np.array([[1, 2, 3], [4, 5, 6]])
-print("\n2D Array:")
-print(arr_2d)
-
-# Array with zeros
-zeros_arr = np.zeros((3, 3))
-print("\nArray with Zeros:")
-print(zeros_arr)
-
-# Array with ones
-ones_arr = np.ones((2, 2))
-print("\nArray with Ones:")
-print(ones_arr)
-
-# Array with a range of values
-range_arr = np.arange(0, 10, 2)
-print("\nArray with a Range:")
-print(range_arr)
-
-# Basic Operations:
-
-# Addition
-result_add = arr_1d + arr_1d
-print("\nAddition Result:")
-print(result_add)
-
-# Multiplication
-result_mul = arr_1d * 2
-print("\nMultiplication Result:")
-print(result_mul)
-
-# Element-wise square root
-result_sqrt = np.sqrt(arr_1d)
-print("\nSquare Root Result:")
-print(result_sqrt)
-
-# Indexing and Slicing:
-
-# Accessing element
-element = arr_1d[0]
-print("\nAccessing Element:")
-print(element)
-
-# Slicing
-subarray = arr_1d[1:3]
-print("\nSliced Subarray:")
-print(subarray)
-
-# Mathematical Functions:
-
-# Sum of all elements
+# arr_1d = np.array([1, 2, 3],dtype="int16") #2 bytes 
+# print("1D Array:")
+# print(arr_1d)
+# print(type(arr_1d[0]))
+# arr_1d = arr_1d.astype(np.int32) 
+# print(arr_1d) 
+# print(type(arr_1d[0]))
+# data_type = arr_1d.dtype
+# print("Data type:", data_type)
+
+# # 2D array
+# arr_2d = np.array([[1, 2, 3], [4, 5, 6]])
+# print("\n2D Array:")
+# print(arr_2d)
+# print(arr_2d[0][2])
+
+# # Array with zeros
+# zeros_arr = np.zeros((3, 4),dtype="int32")
+# print("\nArray with Zeros:")
+# print(zeros_arr)
+
+# # # Array with ones
+# ones_arr = np.ones((2, 3),dtype="int16")
+# print("\nArray with Ones:")
+# print(ones_arr)
+
+# # Array with a range of values
+# range_arr = np.arange(0, 10, 2)
+# print("\nArray with a Range:")
+# print(range_arr)
+
+# # Basic Operations:
+
+# # Addition
+
+# result_add = arr_1d + arr_1d
+# print("\nAddition Result:")
+# print(result_add)
+
+# # Multiplication
+# result_mul = arr_1d * 2
+# print("\nMultiplication Result:")
+# print(result_mul)
+
+# # Element-wise square root
+# result_sqrt = np.sqrt(arr_1d)
+# print("\nSquare Root Result:")
+# print(result_sqrt)
+
+# # Indexing and Slicing:
+
+# # Accessing element
+# element = arr_1d[0]
+# print("\nAccessing Element:")
+# print(element)
+
+# # Slicing
+# subarray = arr_1d[1:3]
+# print("\nSliced Subarray:")
+# print(subarray)
+
+# # Mathematical Functions:
+
+# # Sum of all elements
 total_sum = np.sum(arr_1d)
 print("\nSum of Elements:")
 print(total_sum)
 
-# Mean of elements
+# # Mean of elements
 mean_value = np.mean(arr_1d)
 print("\nMean of Elements:")
 print(mean_value)
 
-# Element-wise exponentiation
+# # Element-wise exponentiation
 exp_arr = np.exp(arr_1d)
 print("\nExponential of Elements:")
-print(exp_arr)
+print(exp_arr)
+
+
+# """ The NumPy library contains multidimensional array and matrix data structures (you’ll find more information about this in later sections). It provides ndarray, a homogeneous n-dimensional array object, with methods to efficiently operate on it. NumPy can be used to perform a wide variety of mathematical operations on arrays. It adds powerful data structures to Python that guarantee efficient calculations with arrays and matrices and it supplies an enormous library of high-level mathematical functions that operate on these arrays and matrices.
+#  """

o level/calcmodule.py

@@ -0,0 +1,21 @@
+def add(n1,n2):
+    return n1+n2
+
+def sub(n1,n2):
+    return n1-n2
+
+def multi(n1,n2):
+    return n1*n2
+
+def divide(n1,n2):
+    try:
+        if n2==0:
+            raise RuntimeError("pls do not divide by zero")
+    except:
+        print("pls do not divide by zero")
+        return
+
+    return n1/n2
+
+def volOfSphere(radius,PI=3.14):
+    return 4/3*PI*radius**3

o level/calculator.py

@@ -0,0 +1,22 @@
+import calcmodule as cm
+
+num1=int(input("enter num1:"))
+num2=int(input("enter num2:"))
+result=0
+choice=input("enter ur choice:")
+
+if choice=="+":
+    result=cm.add(num1,num2)
+elif choice=="-":
+    result=cm.sub(num1,num2)
+elif choice=="*":
+    result=cm.multi(num1,num2)
+elif choice=="/":
+    result=cm.divide(num1,num2)
+elif choice=="vos":
+    r=float(input("enter radius"))
+    result=cm.volOfSphere(r)
+else:
+    print("invalid choice!")
+
+print("the result is ",result)