Python for Data Analysis. W. McKinney
ΠΠ°ΡΠ΅Π³ΠΎΡΠΈΡ: Python
ΠΠΎΠ΄Π΅Π»ΠΈΡΡΡΡ:
This book is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you’ll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language. When I say “data”, what am I referring to exactly? The primary focus is on structured data, a deliberately vague term that encompasses many different common forms of data, such as:
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