Python 3: From None to Machine Learning¶
- Original Title
Python 3: from None to Machine Learning
- English Title
Python 3: from None to Machine Learning
- Author
Matt Harasymczuk
- Language
English
- ISBN
978-83-957186-2-5
- Year
2015-2020
- Online Access
- License
Creative Commons Attribution-ShareAlike 4.0 International License
Author¶

author |
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www |
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github |
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slideshare |
ISBN |
Online Access |
Title |
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9788395718625 |
Python 3: from None to Machine Learning |
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9788395718632 |
The Software Engineering: DevOps, CI/CD, Docker, Provisioning and Git Flow |
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9788395718601 |
Astronaut Selection and Training for Long Duration Spaceflight and Extraterrestrial Activity |
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9788395675201 |
Space in Practice: How to Prepare and Conduct Stratospheric Balloon Mission |
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9788395718649 |
HabitatOS - Development of operating system prototype for Lunar and Martian habitats |
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9788395718618 |
Geophysics experiments from Apollo Lunar Surface Experiments Package |
Note¶
For consulting or training course requests please email book-python@astronaut.center
Before training course please setup your environment as described here Python Install.
DevSecOps¶
DevSecOps
- 1. Good Engineering Practices
- 2. Tests
- 3. Debugging
- 4. Type Annotation
- 5. CI/CD
- 5.1. CI/CD Devtools Ecosystem
- 5.2. CI/CD Tools
- 5.3. CI/CD Pipelines
- 5.4. Linters
- 5.5. Behavioral Testing
- 5.6. Code Style
- 5.7. Code Coverage
- 5.8. Internationalization
- 5.9. DB Schema Migration
- 5.10. Distributing
- 5.11. Security
- 5.12. Smoke Tests
- 5.13. Static Code Analysis
- 5.14. Test Automation
- 5.15. Type Checking
- 5.16. UI testing
- 5.17. Mutation Testing