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|a UAMI
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|a Miller, Curtis.
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245 |
1 |
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|a Hands-On Data Analysis with NumPy and Pandas :
|b Implement Python Packages from Data Manipulation to Processing /
|c by Curtis Miller.
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260 |
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|a Birmingham :
|b Packt Publishing Ltd,
|c 2018.
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300 |
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|a 1 online resource (166 pages)
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|a Cover; Title Page; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Setting Up a Python Data Analysis Environment; What is Anaconda?; Installing Anaconda; Exploring Jupyter Notebooks; Exploring alternatives to Jupyter; Spyder; Rodeo; ptpython; Package management with Conda; What is Conda?; Conda environment management; Managing Python; Package management; Setting up a database; Installing MySQL; MySQL connectors; Creating a database; Summary; Chapter 2: Diving into NumPY; NumPy arrays; Special numeric values; Creating NumPy arrays; Creating ndarray.
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520 |
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|a Chapter 3: Operations on NumPy Arrays; Selecting elements explicitly; Slicing arrays with colons; Advanced indexing; Expanding arrays; Arithmetic and linear algebra with arrays; Arithmetic with two equal-shaped arrays; Broadcasting; Linear algebra; Employing array methods and functions; Array methods; Vectorization with ufuncs; Custom ufuncs; Summary; Chapter 4: pandas are Fun! What is pandas?; What does pandas do?; Exploring series and DataFrame objects; Creating series; Creating DataFrames; Adding data; Saving DataFrames; Subsetting your data; Subsetting a series; Indexing methods.
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505 |
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|a Slicing a DataFrameSummary; Chapter 5: Arithmetic, Function Application, and Mapping with pandas; Arithmetic; Arithmetic with DataFrames; Vectorization with DataFrames; DataFrame function application; Handling missing data in a pandas DataFrame; Deleting missing information; Filling missing information; Summary; Chapter 6: Managing, Indexing, and Plotting; Index sorting; Sorting by values; Hierarchical indexing; Slicing a series with a hierarchical index; Plotting with pandas; Plotting methods; Summary; Other Books You May Enjoy; Index.
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|a In this book, you will explore two important Python packages used by Data Analysts, NumPy & pandas. You will dive into different concepts such as reading, sorting, grouping of data, and also learn how to work with different data formats for your data analysis projects.
|
590 |
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
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|a Python (Computer program language)
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650 |
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|a Numerical analysis
|x Data processing.
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650 |
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|a Information visualization.
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650 |
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6 |
|a Python (Langage de programmation)
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650 |
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|a Analyse numérique
|x Informatique.
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650 |
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6 |
|a Visualisation de l'information.
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650 |
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7 |
|a Data capture & analysis.
|2 bicssc
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650 |
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|a Database design & theory.
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650 |
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7 |
|a Numerical analysis
|x Data processing
|2 fast
|
650 |
|
7 |
|a Python (Computer program language)
|2 fast
|
776 |
0 |
8 |
|i Print version:
|a Miller, Curtis.
|t Hands-On Data Analysis with NumPy and Pandas : Implement Python Packages from Data Manipulation to Processing.
|d Birmingham : Packt Publishing Ltd, ©2018
|z 9781789530797
|
856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5446042
|z Texto completo
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