CHAPTER 2
PYTHON TOOLS FOR DATA ANALYSIS: PRIMER TO PANDAS AND NUMPY
INTRODUCTION
This chapter explores the core Python operations for working with data structures, highlighting its strengths in collection, tabular, and array-based analyses and focusing on the tools within the NumPy and pandas libraries. We will delve into Python’s basic structures for effective data management and processing. The built-in Python functions and custom functions that enhance routine tasks will be described. Exploring the capabilities of the NumPy library, we will explain how it is designed to manage and manipulate large datasets. pandas’ prowess in handling, processing, and applying arithmetic operations and transforming table-like structures makes it indispensable ...
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