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020 ▼a 1789534240 ▼q (electronic bk.)
020 ▼z 1789530792
020 ▼z 9781789530797
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050 4 ▼a QA76.73.P98
08204 ▼a 005.133 ▼2 23
1001 ▼a Miller, Curtis.
24510 ▼a Hands-On Data Analysis with NumPy and Pandas : ▼b Implement Python Packages from Data Manipulation to Processing/ ▼c by Curtis Miller. ▼h [electronic resource].
260 ▼a Birmingham: ▼b Packt Publishing Ltd, ▼c 2018.
300 ▼a 1 online resource (166 pages).
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5050 ▼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.
5058 ▼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 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.
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.
5880 ▼a Print version record.
590 ▼a Added to collection customer.56279.3
650 0 ▼a Python (Computer program language)
650 0 ▼a Numerical analysis ▼x Data processing.
650 0 ▼a Information visualization.
650 7 ▼a Data capture & analysis. ▼2 bicssc
650 7 ▼a Database design & theory. ▼2 bicssc
650 7 ▼a Information architecture. ▼2 bicssc
650 7 ▼a Information visualization. ▼2 bicssc
650 7 ▼a Computers ▼x Data Modeling & Design. ▼2 bisacsh
650 7 ▼a Computers ▼x Data Processing. ▼2 bisacsh
650 7 ▼a Information visualization. ▼2 fast ▼0 (OCoLC)fst00973185
650 7 ▼a Numerical analysis ▼x Data processing. ▼2 fast ▼0 (OCoLC)fst01041279
650 7 ▼a Python (Computer program language) ▼2 fast ▼0 (OCoLC)fst01084736
655 4 ▼a Electronic books.
77608 ▼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
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