Foundations for Analytics with Python
Autor Clinton W Brownleyen Limba Engleză Paperback – 4 oct 2016
Preț: 256.94 lei
Preț vechi: 321.18 lei
-20%
Puncte Express: 385
Preț estimativ în valută:
45.41€ • 52.48$ • 39.35£
45.41€ • 52.48$ • 39.35£
Carte tipărită la comandă
Livrare economică 23 aprilie-07 mai
Specificații
ISBN-13: 9781491922538
ISBN-10: 1491922532
Pagini: 349
Dimensiuni: 179 x 233 x 22 mm
Greutate: 0.63 kg
Editura: O'Reilly
ISBN-10: 1491922532
Pagini: 349
Dimensiuni: 179 x 233 x 22 mm
Greutate: 0.63 kg
Editura: O'Reilly
V-ar putea interesa
-
-20%Preț: 234.35 lei292.94 lei -
Foundational Python for Data ScienceKennedy Behrman-20%Preț: 343.19 lei428.99 lei -
-20%Preț: 202.23 lei252.79 lei -
R-TiculateMartin Bader-23%Preț: 624.36 lei810.87 lei -
Excel Data Analysis for DummiesPaul McFedries-20%Preț: 200.77 lei250.96 lei -
Python for Data Science For DummiesJohn Paul Mueller-20%Preț: 171.41 lei214.25 lei -
The Data Hero PlaybookMalcolm Hawker-20%Preț: 163.75 lei204.68 lei -
Python in Excel Step-By-StepDavid Langer-20%Preț: 273.29 lei341.61 lei -
Excel Quick and EasyMichael Alexander-20%Preț: 89.58 lei111.97 lei -
Statistical Analysis with Python for DummiesJoseph SchmullerPreț: 219.95 lei -
Python Automation for DummiesAlan Simpson-20%Preț: 164.06 lei205.07 lei -
-20%Preț: 309.09 lei386.36 lei -
Python for Data Science: A Hands-On IntroductionYuli Vasiliev-20%Preț: 267.81 lei334.76 lei -
-36%Preț: 274.73 lei426.76 lei -
Python for Excel Users: Know Excel? You Can Learn PythonTracy Stephens-37%Preț: 223.13 lei351.61 lei -
-38%Preț: 174.08 lei281.73 lei -
PythonMartin Czygan-20%Preț: 693.27 lei866.59 lei -
Learning Power QueryAdam Szczepan Kope¿-20%Preț: 216.95 lei271.18 lei
Descriere
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 & scale the processing and analysis of data in different formats by using Python.