Python 3: From None to Machine Learning

Title

Python 3: from None to Machine Learning

Author

Matt Harasymczuk

Language

English

ISBN

978-83-957186-2-5

Year

2015-2021

Online Access

https://python.astrotech.io

License

Creative Commons Attribution-ShareAlike 4.0 International License

Author

author	Matt Harasymczuk
email	matt@astrotech.io
www	https://www.astronaut.center
github	https://github.com/astromatt
linkedin	https://linkedin.com/in/mattharasymczuk
facebook	https://facebook.com/matt.harasymczuk
slideshare	https://www.slideshare.net/astrotech/presentations

Table 1. Other Books from Author. Learn more at https://www.astronaut.center/books

ISBN	Online Access	Title
978-83-957186-2-5	https://python.astrotech.io	Python 3: from None to Machine Learning
978-83-957186-3-2	https://dev.astrotech.io	The Software Engineering: DevOps, CI/CD, Docker, Provisioning and Git Flow
978-83-957186-0-1	https://www.astronaut.pl	Astronaut Selection and Training for Long Duration Spaceflight and Extraterrestrial Activity
978-83-956752-0-1	https://www.astronaut.center/books	Space in Practice: How to Prepare and Conduct Stratospheric Balloon Mission
978-83-957186-4-9	https://pl.habitatos.space	HabitatOS - Development of operating system prototype for Lunar and Martian habitats
978-83-957186-1-8	https://alsep.astronaut.center	Geophysics experiments from Apollo Lunar Surface Experiments Package

Note

• For consulting or training course requests please email matt@astrotech.io

• Before training course please setup your environment

• More information in Install

About

Pandas

Pandas

• 1. About
  • 1.1. Pandas
  • 1.2. Types Basics
• 2. Import & Export
  • 2.1. Pandas Read
  • 2.2. DataFrame Export
• 3. Series
  • 3.1. Series Create
  • 3.2. Series Attributes
  • 3.3. Series Index
  • 3.4. Series Sample
  • 3.5. Series Getitem
  • 3.6. Series Slicing
  • 3.7. Series NA
  • 3.8. Series Alter
  • 3.9. Series Sort
  • 3.10. Series Arithmetic
  • 3.11. Series Statistics
  • 3.12. Series Mapping
• 4. DataFrame
  • 4.1. DataFrame Create
  • 4.2. DataFrame Attributes
  • 4.3. DataFrame Index
  • 4.4. DataFrame Sample
  • 4.5. DataFrame Getitem
  • 4.6. DataFrame Slice
  • 4.7. DataFrame At
  • 4.8. DataFrame Loc
  • 4.9. DataFrame Select
  • 4.10. DataFrame Query
  • 4.11. DataFrame Update
  • 4.12. DataFrame Alter
  • 4.13. DataFrame NA
  • 4.14. DataFrame Sort
  • 4.15. DataFrame Statistics
  • 4.16. DataFrame Mapping
  • 4.17. DataFrame Group By
  • 4.18. DataFrame Aggregations
  • 4.19. DataFrame Join
  • 4.20. DataFrame Plotting
• 5. Date
  • 5.1. Date and Time Types
  • 5.2. Date and Time Timezones
  • 5.3. Date and Time Shifts
  • 5.4. Date and Time Frequency
  • 5.5. Date and Time Calendar
• 6. Recap
  • 6.1. Method Chaining
  • 6.2. Pandas Set Option
  • 6.3. Pandas Workflow
• 7. Case Studies
  • 7.1. Case Study COVID-19
  • 7.2. ESA Astronauts
  • 7.3. ESPN Standings
  • 7.4. Livescores

Appendixes