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.
Python Basics¶
Python Standard Library¶
Python Advanced¶
Dragon¶
Pandas¶
Pandas
- 1. About
- 2. Import & Export
- 3. Series
- 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
- 6. Recap
- 7. Case Studies
Object Oriented Programming¶
Object Oriented Programming
Design Patterns¶
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
Network and HTTP¶
Network and HTTP
Django¶
Django
- 1. HTTP
- 2. Introduction to Django
- 3. Django Framework Architecture
- 4. Installation and Running
- 5. Settings
- 6. Apps
- 7. Models
- 8. URL Router
- 9. ORM
- 10. Views
- 11. Forms
- 12. REST
- 13. Staticfiles
- 14. Templates
- 15. Templatetags
- 16. Admin panel
- 17. Management Commands
- 18. i18n and l10n
- 19. Database
- 20. Cache
- 21. Signals
- 22. Auth and Permissions
- 23. API CORS
- 24. Standalone scripts
- 25. Tests and quality
- 26. Tests
- 27. CI/CD - Continuous Integration and Deployment
- 28. Deployment
Data Science¶
Data Science