| Title: | Python 3: from None to Machine Learning |
|---|---|
| Author: | Matt Harasymczuk |
| Language: | English |
| ISBN: | 978-83-957186-2-5 |
| Year: | 2015-2022 |
| Online Access: | https://python.astrotech.io |
| License: | Creative Commons Attribution-ShareAlike 4.0 International License |
| author | Matt Harasymczuk |
| matt@astrotech.io | |
| www | https://www.astronaut.center |
| github | https://github.com/astromatt |
| https://linkedin.com/in/mattharasymczuk | |
| https://facebook.com/matt.harasymczuk | |
| slideshare | https://www.slideshare.net/astrotech/presentations |
| 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 |
- For consulting or training course requests please email matt@astrotech.io
- Before training course please setup your environment
- More information in Install