Data Pipelines with Apache Airflow

Reading Journey

Started: 2022-01-22T17:55:01Z
Ended: 2022-01-27T22:23:53Z
Total Time Read: 8hrs 55mins 50secs

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 Pipelines with Apache Airflow"""
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 Pipelines with Apache Airflow

title: “Data Pipelines with Apache Airflow” book: title: “Data Pipelines with Apache Airflow” format: html: code-fold: true creator: “@victorgeislinger” —

Thoughts on Data Pipelines with Apache Airflow

Overview

For DevOps, data engineers, machine learning engineers, and sysadmins with intermediate Python skills”–Back cover.

READING

READING

READING

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