Data Analysis on AWS - Jupyter Notebook Part 2
This is an episode of the educational video series 'Analysis By Doing' wherein you can learn Data Analysis on AWS by following along with an AWS certified Solutions Architect. Expect new episodes every Monday and Thursday!
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Playlist URL:
https://www.youtube.com/playlist?list=PLisYSIHvE9qNNtSqvrGT37LChAmo2JwMt
Markdown Code to Play Video upon clicking on image:
[![Environment Setup Video](setup-video.jpg)](https://www.youtube.com/watch?v=XG44LZIgcuI "Environment Setup Video")
## Mathematical Expressions in LaTeX format
### Inline Math Expression:
The formula is: $e^{i\pi} + 1 = 0$ where $\pi$ = 3.1415
### Math Expressions in their own delimited lines:
The formula is:
\begin{equation}
e^x=\sum_{1=0}^\infty \frac{1}{i!}x^i
\end{equation}
where 'i' is an integer.
Python Code for Visualization:
import numpy as np
import matplotlib.pyplot as plt
distribution = np.random.normal(0, 2, 1000000)
plt.figure(figsize = (12, 8))
plt.hist(distribution, bins = 100)
plt.title(“Normal Distribution”)
plt.show()
We acknowledge and thank the Jupyter Notebook Documentation material which we have used to produce this educational video.
Link to Jupyter Notebook documentation:
https://docs.jupyter.org/en/latest/install.html
https://jupyter-notebook.readthedocs.io/en/stable/notebook.html