Master data processing method in practice, more practical. The use of project-based approach, introduced in Python completion of data acquisition, data cleansing, data exploration, data presentation, and data-scale automated process. The main contents include: Python basics, how to extract data from CSV, Excel, XML, JSON and PDF files, how to obtain and store data, a variety of data cleaning and analysis, data visualization methods, how to extract data from a Web site and the API .
reference:
"Python data processing" HD Chinese PDF, 402 pages, table of contents with bookmarks, text can be copied; HD English PDF, 501 pages, table of contents with bookmarks, text can be copied;
Chinese and English version of the two comparative learning; to explain in detail and with source code.
Network disk download: http://106.13.73.98
