Erik Seguinte
Erik Seguinte
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Apple Certified Macintosh Technician and Data Science Student
California State University, Sacramento
Biography
Erik Seguinte is a self-taught python programmer with an interest in data science.
Interests
Python
Data Science
Skills
Python 3
Java
Recent Posts
What makes the best movie?
Using data to determine a standardized metric and using it to glean insights.
Mar 3, 2020
16 min read
Dungeons and Dragons and Stats
Dungeons And Dragons and Stats Dungeons and Dragons is a Tabletop Roleplaying game (RPG) produced by Wizards of the coast. Data from https://github.com/oganm/dnddata import pandas as pd import plotly.graph_objects as go import plotly.express as px import seaborn as sns import matplotlib.pyplot as plt import numpy as np import scipy.stats as stats sns.set(style="darkgrid") Lets load in the dataset. Note that this is a tab seperated table. We’ll use \t as the seperator to get it to load in right.
Feb 7, 2020
302 min read
Writing technical content in Academic
Academic is designed to give technical content creators a seamless experience. You can focus on the content and Academic handles the rest. Highlight your code snippets, take notes on math classes, and draw diagrams from textual representation. On this page, you’ll find some examples of the types of technical content that can be rendered with Academic. Examples Code Academic supports a Markdown extension for highlighting code syntax. You can enable this feature by toggling the highlight option in your config/_default/params.
Jul 12, 2019
4 min read
Display Jupyter Notebooks with Academic
Learn how to blog in Academic using Jupyter notebooks
admin
Last updated on Sep 5, 2019
2 min read
Academic: the website builder for Hugo
Create a beautifully simple website in under 10 minutes.
admin
Last updated on Apr 17, 2019
3 min read
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