Install Numpy¶
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pip install numpy
Requirement already satisfied: numpy in c:\users\user\appdata\local\programs\python\python313\lib\site-packages (2.3.2) Note: you may need to restart the kernel to use updated packages.
[notice] A new release of pip is available: 25.1.1 -> 25.2 [notice] To update, run: python.exe -m pip install --upgrade pip
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pip install --upgrade pip
Requirement already satisfied: pip in c:\users\user\appdata\local\programs\python\python313\lib\site-packages (25.1.1)
Collecting pip
Using cached pip-25.2-py3-none-any.whl.metadata (4.7 kB)
Using cached pip-25.2-py3-none-any.whl (1.8 MB)
Installing collected packages: pip
Attempting uninstall: pip
Found existing installation: pip 25.1.1
Uninstalling pip-25.1.1:
Successfully uninstalled pip-25.1.1
Successfully installed pip-25.2
Note: you may need to restart the kernel to use updated packages.
Importing Numpy¶
In [1]:
import numpy as np
Creating Numpy Arrays¶
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arr = np.array([1,2,3,4,5])
print(arr)
[1 2 3 4 5]
Types of Arrays¶
One-Dimensional (1D) Array
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arr1D = np.array([10, 20, 30, 40])
print(arr1D)
[10 20 30 40]
Two-Dimensional (2D) Array (Matrix)
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arr2D = np.array([[1, 2, 3], [4, 5, 6]])
print(arr2D)
[[1 2 3] [4 5 6]]
Three-Dimensional (3D) Array (Tensor)
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arr3D = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])
print(arr3D)
[[[1 2] [3 4]] [[5 6] [7 8]]]
Checking Numpy Version¶
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print(np.__version__)
2.3.2
Comparing Execution Time¶
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import time
# Using Python List
lst = list(range(1000000))
start = time.time()
lst = [x*2 for x in lst]
end = time.time()
print("Python List Time:", end - start)
# Using NumPy Array
arr = np.arange(1000000)
start = time.time()
arr = arr * 2
end = time.time()
print("NumPy Array Time:", end - start)
Python List Time: 0.04584479331970215 NumPy Array Time: 0.0017659664154052734
Basic Array Attributes¶
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arr = np.array([[1, 2, 3], [4, 5, 6]])
print(arr.ndim) # Output: 2 (2D array)
print(arr.shape) # Output: (2, 3) → 2 rows, 3 columns
print(arr.size) # Output: 6 (total elements)
print(arr.dtype) # Output: int64 (data type)
print(arr.itemsize) # Output: 4 (bytes per element)
2 (2, 3) 6 int64 8
Indexing¶
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arr = np.array([10, 20, 30, 40, 50])
print(arr[0]) # Output: 10
print(arr[2]) # Output: 30
print(arr[-1]) # Output: 50 (Last element)
10 30 50
Slicing¶
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arr = np.array([10, 20, 30, 40, 50, 60, 70])
print(arr[1:5]) # Output: [20 30 40 50]
print(arr[:4]) # Output: [10 20 30 40] (First 4 elements)
print(arr[2:]) # Output: [30 40 50 60 70] (From index 2 to end)
print(arr[::2]) # Output: [10 30 50 70] (Every 2nd element)
print(arr[::-1]) # Output: [70 60 50 40 30 20 10] (Reversed)
[20 30 40 50] [10 20 30 40] [30 40 50 60 70] [10 30 50 70] [70 60 50 40 30 20 10]
In [12]:
pip install nbconvert
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c:\users\user\appdata\roaming\python\python313\site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.12->nbclient>=0.5.0->nbconvert) (1.17.0) Collecting soupsieve>1.2 (from beautifulsoup4->nbconvert) Downloading soupsieve-2.8-py3-none-any.whl.metadata (4.6 kB) Collecting typing-extensions>=4.0.0 (from beautifulsoup4->nbconvert) Downloading typing_extensions-4.15.0-py3-none-any.whl.metadata (3.3 kB) Downloading nbconvert-7.16.6-py3-none-any.whl (258 kB) Downloading mistune-3.1.3-py3-none-any.whl (53 kB) Downloading bleach-6.2.0-py3-none-any.whl (163 kB) Downloading tinycss2-1.4.0-py3-none-any.whl (26 kB) Downloading jinja2-3.1.6-py3-none-any.whl (134 kB) Downloading MarkupSafe-3.0.2-cp313-cp313-win_amd64.whl (15 kB) Downloading nbclient-0.10.2-py3-none-any.whl (25 kB) Downloading nbformat-5.10.4-py3-none-any.whl (78 kB) Downloading fastjsonschema-2.21.2-py3-none-any.whl (24 kB) Downloading jsonschema-4.25.1-py3-none-any.whl (90 kB) Downloading attrs-25.3.0-py3-none-any.whl (63 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------------------- 11/21 [bleach] -------------------------- ------------- 14/21 [jinja2] ---------------------------- ----------- 15/21 [beautifulsoup4] ---------------------------------- ----- 18/21 [nbformat] ---------------------------------------- 21/21 [nbconvert] Successfully installed attrs-25.3.0 beautifulsoup4-4.13.5 bleach-6.2.0 defusedxml-0.7.1 fastjsonschema-2.21.2 jinja2-3.1.6 jsonschema-4.25.1 jsonschema-specifications-2025.4.1 jupyterlab-pygments-0.3.0 markupsafe-3.0.2 mistune-3.1.3 nbclient-0.10.2 nbconvert-7.16.6 nbformat-5.10.4 pandocfilters-1.5.1 referencing-0.36.2 rpds-py-0.27.1 soupsieve-2.8 tinycss2-1.4.0 typing-extensions-4.15.0 webencodings-0.5.1 Note: you may need to restart the kernel to use updated packages.