Isbn: 9781491922538 - foundations for analytics with python: from non-programmer to hacker (11 Ergebnisse)

Paperback. Zustand: Fair. No Jacket. Former library book; Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Paperback. Zustand: Fair. If you're like many of Excel's 750 million users, you want to do more with your data-like repeating similar analyses over hundreds of files, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale the processing and analysis of data in different formats-by using Python. After author Clinton Brownley takes you through Python basics, you'll be able to write simple scripts for processing data in spreadsheets as well as databases. You'll also learn how to use several Python modules for parsing files, grouping data, and producing statistics. No programming experience is necessary.Create and run your own Python script.…

Zustand: New. In English.

Zustand: New. This practical guide shows ambitious non-programmers how to automate and scale data processing and analysis of different data formats with Python, using business-relevant examples with complete, easy-to-read code. Num Pages: 300 pages. BIC Classification: UMW. Category: (XV) Technical / Manuals. Dimension: 250 x 150 x 15. Weight in Grams: 666. . 2016. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.…

Paperback. Zustand: Brand New. 1st edition. 356 pages. 9.00x6.75x0.75 inches. In Stock.

Zustand: New. 300.

Zustand: New. If you re like many of Excel s 750 million users, you want to do more with your data-like repeating similar analyses over hundreds of files, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how t.

Taschenbuch. Zustand: Neu. Neuware - If you're like many of Excel's 750 million users, you want to do more with your datalike repeating similar analyses over hundreds of files, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale the processing and analysis of data in different formatsby using Python.After author Clinton Brownley takes you through Python basics, you'll be able to write simple scripts for processing data in spreadsheets as well as databases. You'll also learn how to use several Python modules for parsing files, grouping data, and producing statistics. No programming experience is necessary.- Create and run your own Python scripts by learning basic syntax- Use Python's csv module to read and parse CSV files- Read multiple Excel worksheets and workbooks with the xlrd module- Perform database operations in MySQL or with the mysqlclient module- Create Python applications to find specific records, group data, and parse text files- Build statistical graphs and plots with matplotlib, pandas, ggplot, and seaborn- Produce summary statistics, and estimate regression and classification models- Schedule your scripts to run automatically in both Windows and Mac environments.…