pstrongLearn how to apply powerful data analysis techniques with popular open source Python modulesstrongp pstrongKey Featuresstrongp ul liFind, manipulate, and analyze your data using the Python 3.5 librariesli liPerform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python codeli liAn easy-to-follow guide with realistic examples that are frequently used in real-world data analysis projects.li ul pstrongBook Descriptionstrongp pData 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.p pWith 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