Da: HPB-Red, Dallas, TX, U.S.A.
paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Da: Bookmans, Tucson, AZ, U.S.A.
paperback. Condizione: Acceptable. Highlighting/Underlining/Notes etc. Satisfaction 100% guaranteed.
Paperback. Condizione: Good. Book contains highlighting from previous owner. Book contains markings and notes from previous owner. Otherwise in great condition. ; - We're committed to your satisfaction. We offer free returns and respond promptly to all inquiries. Your item will be carefully wrapped in bubble wrap and securely boxed. All orders ship on the same or next business day. Buy with confidence.
Condizione: As New. Unread book in perfect condition.
Condizione: New.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: WorldofBooks, Goring-By-Sea, WS, Regno Unito
EUR 29,93
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
EUR 35,86
Quantità: 1 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 44,99
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: 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 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 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.
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Foundations for Analytics with Python: From Non-Programmer to Hacker. Book.
EUR 35,84
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New.
EUR 36,16
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Optimon Books, Gravesend, KENT, Regno Unito
EUR 33,81
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Fair. THERE ARE NO TARIFFS OR CUSTOMS DUTIES ON BOOKS. 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 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 modulePerform 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 modelsSchedule your scripts to run automatically in both Windows and Mac environments Copyright � O'Reilly Media.
EUR 35,85
Quantità: 1 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: GoldBooks, Denver, CO, U.S.A.
Paperback. Condizione: new. New Copy. Customer Service Guaranteed.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 50,90
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: 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. . . . .
Condizione: 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.
EUR 64,39
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 1st edition. 356 pages. 9.00x6.75x0.75 inches. In Stock.
EUR 46,84
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: 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 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 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.
EUR 49,79
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: 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.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 64,77
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - 'No programming experience is necessary'--Back cover.
Da: Revaluation Books, Exeter, Regno Unito
EUR 48,48
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 1st edition. 356 pages. 9.00x6.75x0.75 inches. In Stock. This item is printed on demand.