Data Science from Scratch

Reading Journey

Started: 2022-10-17T20:06:10Z
Ended: 2022-10-20T15:58:42Z
Total Time Read: 4hrs 10mins 5secs

Code

%run _help_reading.py
import pandas as pd

df = pd.read_csv(
  'https://github.com/MrGeislinger/victorsothervector/raw/main/'
  'data/reading/all_reading-clean.csv'
)

book_name = """Data Science from Scratch"""
one_title = one_title_data(df, book_name)
one_title_summary = get_summary_by_day(one_title)
generate_plot(one_title_summary, book_name);

/Users/victor/Developer/Workspace/victorsothervector/books/_help_reading.py:78: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator. Otherwise, ticks may be mislabeled.
  ax.set_xticklabels(

Figure 1: Reading done for Data Science from Scratch

title: “Data Science from Scratch” book: title: “Data Science from Scratch” format: html: code-fold: true creator: “@victorgeislinger” —

Thoughts on Data Science from Scratch

Overview

This is a first-principles-based, practical introduction to the fundamentals of data science aimed at the mathematically-comfortable reader with some programming skills. The book covers: The important parts of Python to know The important parts of Math / Probability / Statistics to know The basics of data science How commonly-used data science techniques work (learning by implementing them) What is Map-Reduce and how to do it in Python Other applications such as NLP, Network Analysis, and more.

READING

READING

READING

Bluesky Comments