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sujal / main.tex

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最後活躍 1746444187

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 ---

sujal / q28.py

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最後活躍 1715848996

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():

sujal / practical-file.tex

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最後活躍 1715846539

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},

sujal / q27.py

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最後活躍 1715846524

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)],

sujal / q26.py

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最後活躍 1715845104

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],

sujal / q25.py

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最後活躍 1715845094

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)

sujal / q24.py

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最後活躍 1715843407

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)

sujal / q23.py

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最後活躍 1715843182

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)

sujal / q22.py

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最後活躍 1715843167

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])

sujal / 6-10-may-2024.md

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最後活躍 1714920395

Tuesday

Physics viva

Wednesday

Maths viva
R practical file/viva (?)

Thursday

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