Index

Kapitel in diesem Buch

1. Frontmatter I
2. Acknowledgment V
3. Contents XIII
4. 1 Presenting the challenge 1
5. 2 Python quick start 4
6. 3 The steps of data processing 34
7. 4 From experimental files to data 40
8. 5 From data to information 73
9. 6 Where to put data and information 92
10. 7 How to visualize data and information 119
11. 8 Responding to lessons learned 142
12. 9 Where to go from here 154
13. 10 Conclusion 168
14. A Packaging a custom module 173
15. B Comments to tables and columns via SQLAlchemy 177
16. C A word on version control systems 179
17. D Overview of utilized Python and package versions 181
18. E Extracting data via pd.read_csv 183
19. F Installation of an ODBC driver 187
20. List of Figures 189
21. Bibliography 195
22. Index 197