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sujal / main.tex

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1 %! Class = ipu-ai
2 %! Author = Sujal Singh
3 %! Date = 11/28/24
4
5 \NeedsTeXFormat{LaTeX2e}
6 \ProvidesClass{iot-report}[A class for IoT lab project report.]
7
8 \LoadClass[a4paper,12pt,twoside]{article}
9
10 % --- Packages ---
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sujal / q28.py

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1 # Create a .csv file (with contents like age, weight and BMI). Read the content of the file and using Pandas and
2 # MatPlotLib, plot the graph.
3
4 import numpy as np
5 import pandas as pd
6 import matplotlib.pyplot as plt
7
8 data = pd.read_csv("data.csv")
9 bmi = []
10 for row in data.iterrows():
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sujal / practical-file.tex

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1 %! Author = Sujal Singh
2 %! Date = 5/8/24
3
4 % Preamble
5 %! suppress = FileNotFound
6 \documentclass[11pt]{ipu-python}
7 \usepackage[
8 pdftitle={Programming in Python Practical File},
9 pdfsubject={Programming in Python Practical File},
10 pdfauthor={Sujal Singh},
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sujal / q27.py

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1 # Create 2 arrays, using MatPlotLib, plot the graph with the content of the two arrays, with coordinates plotted on
2 # x-axis and y-axis.
3
4 import numpy as np
5 import matplotlib.pyplot as plt
6 from random import randint
7
8 points = np.array([
9 [randint(0, 100) for _ in range(50)],
10 [randint(0, 100) for _ in range(50)],
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sujal / q26.py

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1 # Using Pandas, create a dataframe, initialize it with the contents such as your enrollment Number and name and
2 # display them.
3
4 import numpy as np
5 import pandas as pd
6
7 class_list = pd.DataFrame(np.array([
8 ["Name", "Enrollment Number"],
9 ["Alice", 1],
10 ["Bob", 2],
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sujal / q25.py

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1 # Using NumPy, initialize an array and display its dimensionality.
2
3 import numpy as np
4
5 arr = np.array([[[1, 2], [3, 4]], [[5, 6], [6, 7]], [[8, 9], [9, 10]]])
6 print(arr.shape)
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sujal / q24.py

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1 # Using NumPy, write a program to create two 1-dimensional array and perform the operation of iteration, sorting the
2 # contents of array and concatenating the contents of the array.
3
4 import numpy as np
5
6 arr = np.array([9, 4, 6, 2, 7])
7
8 for e in np.nditer(arr):
9 print(e)
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sujal / q23.py

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1 # Using NumPy, write a program to create multidimensional array, load it with the numbers and display the content of it.
2
3 import numpy as np
4
5 arr = np.array([[1, 2, 3], [4, 5, 6]])
6 print(arr)
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sujal / q22.py

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1 # Using NumPy, write a program to create 1-dimensional array, load it with numbers, and perform the operation of
2 # iteration and slicing on it.
3
4 import numpy as np
5
6 print(arr := np.array([2, 3, 4, 1, 7, 6]))
7 for e in np.nditer(arr):
8 print(e, end=" ")
9 print()
10 print(arr[2:5])
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sujal / 6-10-may-2024.md

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Última actividad 1714920395

Tuesday

  • Physics viva

Wednesday

  • Maths viva
  • R practical file/viva (?)

Thursday
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