free-programming-books/more/free-programming-cheatsheets-AIML.md

ML-Machine-Learning

GitHub Repo	🍭 ML 🍭	🐥 Pandas 🐥	❌ numPy ❌

WebSite =>	🍭 ML 🍭	🐥 Pandas 🐥	❌ numPy ❌

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Jupyter Notebook // JupyterLab // .ipynb

Command Mode Shortcuts (press Esc to activate)

• A: Insert cell above
• B: Insert cell below
• D, D (press D twice): Delete selected cell
• Y: Change cell to code mode
• M: Change cell to markdown mode
• Shift + Arrow: Select multiple cells
• Shift + M: Merge selected cells
• Ctrl + Enter: Run selected cell
• Shift + Enter: Run cell and select below
• Alt + Enter: Run cell and insert new cell below

Edit Mode Shortcuts (press Enter to activate)

• Ctrl + /: Comment/uncomment selected lines
• Tab: Code completion or indent
• Shift + Tab: Tooltip (for function arguments)
• Ctrl + Shift + -: Split cell at cursor
• Ctrl + Shift + P: Command palette (access to all commands)

Navigation Shortcuts (in both modes)

• Up Arrow / Down Arrow: Move up/down one cell
• Ctrl + Home: Go to first cell
• Ctrl + End: Go to last cell
• Ctrl + G: Go to specific cell by number
• Shift + L: Toggle line numbers

Other Useful Shortcuts

• Esc + F: Find and replace
• Esc + O: Toggle cell output
• Esc + H: Show keyboard shortcuts help dialog
• Esc + I, I: Interrupt kernel
• Esc + 0, 0: Restart kernel
• Ctrl + Shift + Enter:Run All Cells

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Pandas

Downlod Pythin

Run Command Prompt as Administrator:

• Right-click on the Command Prompt icon in the Start menu.
• Select "Run as administrator".
• Confirm the User Account Control prompt if prompted.

!pip install pandas
!pip install jupyter
# If you want to install matplotlib as well, uncomment the line below
# !pip install matplotlib

!jupyter notebook --version

jupyter notebook

import numpy as np
import matplotlib.pyplot as plt

# Data for plotting
t = np.arange(0.0, 2.0, 0.01)
s = 1 + np.sin(2 * np.pi * t)

fig, ax = plt.subplots()
ax.plot(t, s)

ax.set(xlabel='time (s)', ylabel='voltage (mV)',
       title='About as simple as it gets, folks')
ax.grid()

plt.show()

more about pamdas

numPy

documentation

pip install numpy
python.exe -m pip install --upgrade pip

pip install jupyter

python 10h =>	🍭 SourceCode 🍭	🐥 Notes 10h 🐥	❌ complete Notes ❌

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<div style="text-align: right;">
        <img src="pandas/img/Python-Pandas-logo.png" alt="Pandas Logo" width="300" />
        <div style="font-size: 10px; margin-top: -10px; margin-bottom: 15px;">by Akashdip Mahapatra</div>
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