Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Birmingham
Packt Publishing
2017
|
| Edition: | Second edition. |
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781787127487/?ar |
| Summary: | Data analysis techniques generate useful insights from small and large volumes of data. Python, with its strong set of libraries, has become a popular platform to conduct various data analysis and predictive modeling tasks. With this book, you will learn how to process and manipulate data with Python for complex analysis and modeling. We learn data manipulations such as aggregating, concatenating, appending, cleaning, and handling missing values, with NumPy and Pandas. The book covers how to store and retrieve data from various data sources such as SQL and NoSQL, CSV fies, and HDF5. We learn how to visualize data using visualization libraries, along with advanced topics such as signal processing, time series, textual data analysis, machine learning, and social media analysis. The book covers a plethora of Python modules, such as matplotlib, statsmodels, scikit-learn, and NLTK. It also covers using Python with external environments such as R, Fortran, C/C++, and Boost libraries. |
| Item Description: | Includes bibliographical references and index. - Online resource; title from PDF title page (EBSCO, viewed September 22, 2017) |
| Physical Description: | 1 Online-Ressource (v, 307 pages) illustrations |
| ISBN: | 9781787127920 1787127923 9781787127487 |
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| id | ZDB-30-ORH-047705256 |
| illustrated | Illustrated |
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| language | English |
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| physical | 1 Online-Ressource (v, 307 pages) illustrations |
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| publishDate | 2017 |
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| spelling | Fandango, Armando VerfasserIn aut Python data analysis data manipulation and complex data analysis with Python Armando Fandango Second edition. Birmingham Packt Publishing 2017 1 Online-Ressource (v, 307 pages) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Online resource; title from PDF title page (EBSCO, viewed September 22, 2017) Data analysis techniques generate useful insights from small and large volumes of data. Python, with its strong set of libraries, has become a popular platform to conduct various data analysis and predictive modeling tasks. With this book, you will learn how to process and manipulate data with Python for complex analysis and modeling. We learn data manipulations such as aggregating, concatenating, appending, cleaning, and handling missing values, with NumPy and Pandas. The book covers how to store and retrieve data from various data sources such as SQL and NoSQL, CSV fies, and HDF5. We learn how to visualize data using visualization libraries, along with advanced topics such as signal processing, time series, textual data analysis, machine learning, and social media analysis. The book covers a plethora of Python modules, such as matplotlib, statsmodels, scikit-learn, and NLTK. It also covers using Python with external environments such as R, Fortran, C/C++, and Boost libraries. Python (Computer program language) Programming languages (Electronic computers) Python (Langage de programmation) COMPUTERS / Programming Languages / Python |
| spellingShingle | Fandango, Armando Python data analysis data manipulation and complex data analysis with Python Python (Computer program language) Programming languages (Electronic computers) Python (Langage de programmation) COMPUTERS / Programming Languages / Python |
| title | Python data analysis data manipulation and complex data analysis with Python |
| title_auth | Python data analysis data manipulation and complex data analysis with Python |
| title_exact_search | Python data analysis data manipulation and complex data analysis with Python |
| title_full | Python data analysis data manipulation and complex data analysis with Python Armando Fandango |
| title_fullStr | Python data analysis data manipulation and complex data analysis with Python Armando Fandango |
| title_full_unstemmed | Python data analysis data manipulation and complex data analysis with Python Armando Fandango |
| title_short | Python data analysis |
| title_sort | python data analysis data manipulation and complex data analysis with python |
| title_sub | data manipulation and complex data analysis with Python |
| topic | Python (Computer program language) Programming languages (Electronic computers) Python (Langage de programmation) COMPUTERS / Programming Languages / Python |
| topic_facet | Python (Computer program language) Programming languages (Electronic computers) Python (Langage de programmation) COMPUTERS / Programming Languages / Python |
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