codebank 0.1.4

tool for cheating exam

codebank

A Python Package for Easy Access to Predefined Code Snippets for Exams

This package provides easy access to predefined Python code snippets that can be directly used in exams or coding assessments. By calling simple functions, users can retrieve code examples on various topics, copy the output from the console, and paste it into their compiler or editor for execution.

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Features

• Predefined code snippets for common Python problems.
• Easy-to-use function calls.
• Useful for exam preparation and quick reference.

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Installation

To install the package, use pip:

pip install your_package_name

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Usage

After installation, you can import the package and start retrieving predefined code snippets by calling simple functions.

Example 1: Retrieve a Function to Find Prime Numbers

import codebank
from codebank.mllab import one

# Call the function to retrieve the code
code_snippet = one()

# The code will be printed in the console, and you can copy it
print(code_snippet)

Output:

import numpy as np
import pandas as pd
df=pd.read_csv('Iris1.csv')
df.head()
from sklearn import tree
from sklearn.model_selection import train_test_split
X=df[['SepalLengthCm','SepalWidthCm','PetalLengthCm','PetalWidthCm']]
Y=df['Species']
X_train,X_test,Y_train,Y_test=train_test_split(X,Y,test_size=0.2)
model=tree.DecisionTreeClassifier()
model.fit(X_train,Y_train)
print("score",model.score(X_test,Y_test))
tree.plot_tree(model)

Example 2: Retrieve a Sorting Algorithm (Bubble Sort)

from codebank.mllab import two

code_snippet = two()
print(code_snippet)

Output:

def bubble_sort(arr):
    n = len(arr)
    for i in range(n):
        for j in range(0, n-i-1):
            if arr[j] > arr[j+1]:
                arr[j], arr[j+1] = arr[j+1], arr[j]

Available Functions

• one(): Returns a Python function to check if a number is prime.
• two(): Returns a bubble sort implementation.
• three(): Returns a Python function to generate a Fibonacci sequence.
• four(): Returns a function to compute the factorial of a number.
• More functions can be added to cover additional topics such as searching, recursion, data structures, etc.

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How to Use

1. Copy the Code: After calling a function, copy the printed code snippet from the console.
2. Paste and Run: Paste it into your Python editor or compiler.
3. Modify (Optional): If required, you can modify the function parameters or extend the code as per your needs.

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Contributing

Contributions are welcome! If you would like to add more code snippets or suggest improvements, feel free to fork the repository and submit a pull request.

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License

This project is licensed under the MIT License. See the LICENSE file for details.

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Feedback

For issues, bugs, or feature requests, feel free to open an issue on the GitHub repository.

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This README provides a simple and clear guide for users, focusing on ease of use and practical functionality for exam preparation. It walks through installation, usage examples, available functions, and contribution guidelines.