Learning Pandas – Second Edition

Key FeaturesGet comfortable in using pandas and Python as an effective data exploration and analysis toolExplore pandas through a framework of data science, with explanation of how pandas is well suited for various stages in a data analysis processA comprehensive guide with lots of practical examples to help you get up and running with pandasBook DescriptionYou will start with understanding how to represent single and multivariate data, and perform important tasks on your datasets to discover insights previously hidden from view. You will learn how to populate and manipulate and analyze the data in various ways. In the end, you will see how to use pandas to model and understand simple problems in Finance, which is pandas' biggest use-case.With the knowledge you gain from this book, you will be able to quickly be able to learn pandas and how it can facilitate you in the exciting world of data science and analysis.What you will learnUnderstand how data scientists think about of the processes of gathering and understanding dataLearn how pandas can be used to support the end to end process of data analysisUse the pandas Series and DataFrame objects to represent single and multivariate dataSlice and dice data with pandas, as well as combine, group and aggregate data from multiple sourcesAccessing data from external sources such as files, databases and web servicesRepresent and manipulate data that changes over time and many of the intricacies involved with this type of dataCombine, aggregate and summarize your dataUse data visualization to see meaning in the underlying dataUse pandas to solve several common data representation and analysis problems within financeAbout the AuthorMichael Heydt is a technologist, scientist, entrepreneur, educator and trainer with decades of professional software development and financial and commodities trading experience. He has worked extensively on Wall Street specializing in development of distributed, actor-based, high-performance, high-availability trading systems. He is currently founder of Micro Trading Services, a cloud services company focusing on cloud based micro-service based software solutions for finance and commodities trading, and also a principal / co-founder of Algoists.com, a research think-tank focusing creating the future of cloud based automated and algorithmic trading services.

Author: Michael Heydt

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