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Hands-On Data Analysis with NumPy and Pandas : Implement Python Packages from Data Manipulation to Processing /
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 method...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing Ltd,
2018.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Miller, Curtis. | |
| 245 | 1 | 0 | |a Hands-On Data Analysis with NumPy and Pandas : |b Implement Python Packages from Data Manipulation to Processing / |c by Curtis Miller. |
| 260 | |a Birmingham : |b Packt Publishing Ltd, |c 2018. | ||
| 300 | |a 1 online resource (166 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
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| 505 | 0 | |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. | |
| 520 | |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. | ||
| 505 | 8 | |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. | |
| 520 | |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 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Numerical analysis |x Data processing. | |
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| 650 | 6 | |a Analyse numérique |x Informatique. | |
| 650 | 6 | |a Visualisation de l'information. | |
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| 650 | 7 | |a Information architecture. |2 bicssc | |
| 650 | 7 | |a Information visualization. |2 bicssc | |
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| 650 | 7 | |a Computers |x Data Processing. |2 bisacsh | |
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| 650 | 7 | |a Numerical analysis |x Data processing. |2 fast |0 (OCoLC)fst01041279 | |
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