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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Home Page: https://pandas.pydata.org

License: BSD 3-Clause "New" or "Revised" License

Makefile 0.01% Python 95.10% Shell 0.19% HTML 2.64% C 2.04% Batchfile 0.01% Smarty 0.01% CSS 0.01% Dockerfile 0.01%

pandas's Introduction

Hello and welcome to my GitHub

๐Ÿค” Who am I?

  • a Cloud engineer.
  • an automation enthusiast.
  • a Trainer in Cloud and DevOps related subjects.

๐Ÿ‘๐Ÿฝ What do I like?

  • finding both time and cost efficient solutions to not do things myself.
  • teaching other people what I believe works best and hearing their feed back on it.
  • reading about how people do things and challenging them.

๐ŸŽ What will you find in my repositories?

  • PoC or hello world examples on how to use a given technology. For example:
  • Presentations on Cloud and automation subjects. For example:
    • Identity And Management (IAM) in Google Cloud.
    • Networking services in Google Cloud.
    • Infrastructure as Code with terraform (IAC)
  • Hands-on practice labs to test out some technologies. For example:

pandas's People

Contributors

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