000			01685nam a22002537a 4500
003			CUTN
005			20231206154941.0
008			231206b |||||||| |||| 00| 0 eng d
020			_a9789188364340
041			_aEnglish
082			_223 _a005.133 _bROS
100			_aRosmund, Ansgar.
240			_aData Analysis using Python
245			_aData Analysis using Python / _cAnsgar Rosmund.
260			_aSweden : _bLynas Publishing, _c2023.
300			_a226 p. : _bill. ; _c23 cm.
505			_t1. Understanding Programming 2. Variables, expression, and statements 3. Conditional execution 4. Functions 5. Iteration 6. Strings 7. Files 8. Lists 9. Dictionaries 10. Tuples 11. Regular Expression 129 12. Networked Programs 13. UsingWeb services 155 14. Using databases and SQL. 15. Visualizing data 193 16. Automating common tasks on your computer Appendix A Python Programming on Windows Appendix B Python Programming on Macintosh Index
520			_aThe overall book structure has been designed to accomplish on data analysis problems as possible and include a series of streaming examples and exercises about data analysis from the very beginning. Number-oriented examples and exercises ar substituted with data oriented examples and exercises. Chapters are organized in the direction required to build gradually complex data analysis solutions. Some topics like try and except are presented as part of the chapter on conditionals,. Functions are arranged with a gentle approach, that is essential to mange the program complexity adequately.
650			_aData analysis
650			_aPython
650			_aProgramming
650			_aSQL
942			_2ddc _cTB
999			_c40800 _d40800