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 libraries
- Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code
- An easy-to-follow guide with realistic examples that are frequently used in real-world data analysis projects.
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
- Install open source Python modules such NumPy, SciPy, Pandas, stasmodels, scikit-learn,theano, keras, and tensorflow on various platforms
- Prepare and clean your data, and use it for exploratory analysis
- Manipulate your data with Pandas
- Retrieve and store your data from RDBMS, NoSQL, and distributed filesystems such as HDFS and HDF5
- Visualize your data with open source libraries such as matplotlib, bokeh, and plotly
- Learn about various machine learning methods such as supervised, unsupervised, probabilistic, and Bayesian
- Understand signal processing and time series data analysis
- Get to grips with graph processing and social network analysis
Informacja dotycząca wprowadzenia produktu do obrotu:
Ten produkt został wprowadzony na rynek przed 13 grudnia 2024 r. zgodnie z obowiązującymi wówczas przepisami (Dyrektywą o ogólnym bezpieczeństwie produktów). W związku z tym może on być nadal sprzedawany bez konieczności dostosowania do nowych wymogów wynikających z Rozporządzenia o Ogólnym Bezpieczeństwie Produktów (GPSR). Produkt zachowuje pełną legalność w obrocie, a jego jakość i bezpieczeństwo pozostają zgodne z obowiązującymi wcześniej standardami.
Information regarding product placement on the market:
This product was placed on the market before December 13, 2024, in accordance with the applicable regulations at the time (the General Product Safety Directive). As a result, it can continue to be sold without needing to meet the new requirements introduced by the General Product Safety Regulation (GPSR). The product remains fully compliant with all previously valid legal standards, ensuring its continued quality and safety.
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