Python Real-World Projects by Steven F. Lott

Python Real-World Projects by Steven F. Lott

Author:Steven F. Lott
Language: eng
Format: epub, pdf
Publisher: Packt
Published: 2023-10-15T00:00:00+00:00


7.5 Extras

Here are some ideas for you to add to the projects in this chapter.

7.5.1 Markdown cells with dates and data source information

A minor feature of an inspection notebook is some identification of the date, time, and source of the data. It’s sometimes clear from the context what the data source is; there may, for example, be an obvious path to the data.

However, in many cases, it’s not perfectly clear what file is being inspected or how it was acquired. As a general solution, any processing application should produce a log. In some cases, a metadata file can include the details of the processing steps.

This additional metadata on the source and processing steps can be helpful when reviewing a data inspection notebook or sharing a preliminary inspection of data with others. In many cases, this extra data is pasted into ordinary markdown cells. In other cases, this data may be the result of scanning a log file for key INFO lines that summarize processing.



Download



Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
Popular ebooks
Developing Robust Date and Time Oriented Applications in Oracle Cloud by Michal Kvet(3201)
Serverless ETL and Analytics with AWS Glue by Vishal Pathak Subramanya Vajiraya Noritaka Sekiyama Tomohiro Tanaka Albert Quiroga Ishan Gaur(2781)
Practical Guide to Azure Cognitive Services by Chris Seferlis & Christopher Nellis & Andy Roberts(2299)
Unity Artificial Intelligence Programming - Fifth Edition by Dr. Davide Aversa(1957)
Open Source Projects - Beyond Code by John Mertic(1841)
The AI Product Manager's Handbook by Irene Bratsis(1833)
Graph Data Modeling in Python by Gary Hutson and Matt Jackson(1810)
Cloud Auditing Best Practices by Shinesa Cambric & Michael Ratemo(1443)
Aligning Security Operations with the MITRE ATT&CK Framework by Rebecca Blair(1430)
Graph Data Processing with Cypher by Ravindranatha Anthapu(1139)
Data Literacy in Practice by Angelika Klidas Kevin Hanegan(1129)
Applied Machine Learning and High-Performance Computing on AWS by Mani Khanuja | Farooq Sabir | Shreyas Subramanian | Trenton Potgieter(1125)
Fuzzing Against the Machine: Automate vulnerability research with emulated IoT devices on QEMU by Antonio Nappa Eduardo Blazquez(972)
Implementing Multifactor Authentication: Protect your applications from cyberattacks with the help of MFA by Marco Fanti(970)
The AI Product Manager's Handbook: Develop a product that takes advantage of machine learning to solve AI problems by Irene Bratsis(856)
Data Literacy in Practice - A complete guide to data literacy and making smarter decisions with data through intelligent actions (2022) by Packt(850)
The SQL Workshop by Frank Solomon(823)
Graph Data Processing with Cypher by Anthapu Ravindranatha;(796)
Serverless Machine Learning with Amazon Redshift ML: Create, train, and deploy machine learning models using familiar SQL commands by Debu Panda Phil Bates Bhanu Pittampally Sumeet Joshi(746)
Network Automation with Go by Nicolas Leiva & Michael Kashin(632)