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);
Figure 1: Reading done for Data Pipelines with Apache Airflow

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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