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You're reading from  Data Ingestion with Python Cookbook

Product typeBook
Published inMay 2023
PublisherPackt
ISBN-139781837632602
Edition1st Edition
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Author (1)
Gláucia Esppenchutz
Gláucia Esppenchutz
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Gláucia Esppenchutz

Gláucia Esppenchutz is a data engineer with expertise in managing data pipelines and vast amounts of data using cloud and on-premises technologies. She worked in companies such as Globo, BMW Group, and Cloudera. Currently, she works at AiFi, specializing in the field of data operations for autonomous systems. She comes from the biomedical field and shifted her career ten years ago to chase the dream of working closely with technology and data. She is in constant contact with the open source community, mentoring people and helping to manage projects, and has collaborated with the Apache, PyLadies group, FreeCodeCamp, Udacity, and MentorColor communities.
Read more about Gláucia Esppenchutz

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Inserting logs

As mentioned in the introduction of this chapter, adding logging functionality to your applications is essential for debugging or making improvements later on. However, creating several log messages without necessity may generate confusion or even cause us to miss crucial alerts. In any case, knowing which kind of message to show is indispensable.

This recipe will cover how to create helpful log messages using Python and when to insert them.

Getting ready

We will use only Python code. Make sure you have Python version 3.7 or above. You can use the following command to check it on your command-line interface (CLI):

$ python3 –-version
Python 3.8.10

The following code execution can be done on a Python shell or a Jupyter notebook.

How to do it…

To perform this exercise, we will make a function that reads and returns the first line of a CSV file using the best logging practices. Here is how we do it:

  1. First, let’s import the...
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Data Ingestion with Python Cookbook
Published in: May 2023Publisher: PacktISBN-13: 9781837632602

Author (1)

author image
Gláucia Esppenchutz

Gláucia Esppenchutz is a data engineer with expertise in managing data pipelines and vast amounts of data using cloud and on-premises technologies. She worked in companies such as Globo, BMW Group, and Cloudera. Currently, she works at AiFi, specializing in the field of data operations for autonomous systems. She comes from the biomedical field and shifted her career ten years ago to chase the dream of working closely with technology and data. She is in constant contact with the open source community, mentoring people and helping to manage projects, and has collaborated with the Apache, PyLadies group, FreeCodeCamp, Udacity, and MentorColor communities.
Read more about Gláucia Esppenchutz