Kód: 16184786
Learn how to apply powerful data analysis techniques with popular open source Python modules Key Features Find, manipulate, and analyze your data using the Python 3.5 librariesPerform advanced, high-performance linear algebra and ... celý popis
Angličtina
53.61 €
Bežne: 54.65 €
Ušetríte 1.04 €

Nákupom získate 130 bodov
Anotácia knihy
Learn how to apply powerful data analysis techniques with popular open source Python modules
Key Features
Book Description
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.
What you will learn
Parametre knihy
Zaradenie knihy Knihy po anglicky Computing & information technology Computer programming / software development Web programming
53.61 €
Angličtina
Osobný odber Bratislava a 12744 dalších
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