Requirements: .PDF reader, 33.0 MB
Overview: In the age of information, the ability to extract meaningful insights from data is a superpower. “Python for Data Analysis” is your comprehensive 2 in 1 guide to harnessing the power of Python, one of the most versatile programming languages, to analyze data, uncover hidden patterns, and make data-driven decisions. Whether you’re a beginner stepping into the world of data analysis or a seasoned analyst looking to refine your skills with Python, this book offers a clear, practical approach to data analysis techniques and practices. Dive into the essentials of Python for data analysis, starting with the basics of Python programming. Quickly move beyond the fundamentals to explore the rich ecosystem of data-centric Python libraries, including NumPy for numerical data processing, pandas for data manipulation, Matplotlib and Seaborn for data visualization, and many more. Through hands-on examples and real-world applications, you’ll learn how to effectively manage and analyze data, perform exploratory data analysis, and visualize data patterns and relationships.
Genre: Non-Fiction > Tech & Devices
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