000			nam a22 4500
999			_c119323 _d119323
003			OSt
005			20210120095201.0
008			200107b ||||| |||| 00| 0 eng d
020			_a9789352134298
040			_c
082			_a006.7 _bDAL
100			_aDale, Kyran _946548
245			_aData Visualization with Python and JavaScript
260			_bShroff Publishers & Distributors Pvt. Ltd. _c2016 _aMumbai
300			_a543p
500			_a1. Development setup Part I: Basic toolkit 2. A language learning bridge between python and java script 3. Reading and writing dara python 4. Webdev 101 Part II: Getting your data 5. Getting data off the web with python 6. Heavyweight Scraping with Scrapy Part III: Cleaning and exploring data with Pandas 7. Introduction to numpy 8. Introduction to pandas 9. Cleaning data with pandas 10. Visualizing data with matplotlib 11. Exploring data with pandas Part IV: Delivering the data 12. Delivering the data 13. REST ful data with flask Part V: Visualizing your data with D3. 14. Imagining Nobel visualization 15. Building visualization 16. Introducing D3 –The story of a bar chart 17. Visualizing individual prizes 18. Mapping with D3 19. Visualizing individual winners 20. The menu bar 21. Conclusion
600			_aInformation Visualization _946549
942			_2ddc _cLB _k006.7 _mDAL