عنوان

Python data analytics :

شابک

148423913X

شابک

9781484239131

شابک اشتباه

9781484239124

عنوان اصلي

Python data analytics :

نام عام مواد

[Book]

ساير اطلاعات عنواني

with Pandas, NumPy, and Matplotlib /

نام نخستين پديدآور

Fabio Nelli.

وضعيت ويراست

Second edition.

محل نشرو پخش و غیره

New York, NY :

نام ناشر، پخش کننده و غيره

Apress,

تاریخ نشرو بخش و غیره

[2018]

نام خاص و کميت اثر

1 online resource (xix, 569 pages) :

ساير جزييات

illustrations

متن يادداشت

Includes bibliographical references.

متن يادداشت

An introduction to data analysis -- Introduction to the Python world -- The NumPy library -- The pandas library : an introduction -- Pandas : reading and writing data -- Pandas in depth : data manipulation -- Data visualization with matplotlib -- Machine learning with scikit-learn -- Deep learning with TensorFlow -- An example : meteorological data -- Embedding the JavaScript D3 library in the IPython notebook -- Recognizing handwritten digits -- Textual data analysis with NLTK -- Image analysis and computer vision with OpenCV -- Appendix A: Writing mathematical expressions with LaTeX -- Appendix B: Open data sources.

بدون عنوان

0

متن يادداشت

Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. This revision is fully updated with new content on social media data analysis, image analysis with OpenCV, and deep learning libraries. Each chapter includes multiple examples demonstrating how to work with each library. At its heart lies the coverage of pandas, for high-performance, easy-to-use data structures and tools for data manipulation Author Fabio Nelli expertly demonstrates using Python for data processing, management, and information retrieval. Later chapters apply what you've learned to handwriting recognition and extending graphical capabilities with the JavaScript D3 library. Whether you are dealing with sales data, investment data, medical data, web page usage, or other data sets, Python Data Analytics, Second Edition is an invaluable reference with its examples of storing, accessing, and analyzing data.

منبع سفارش / آدرس اشتراک

Safari Books Online

شماره انبار

CL0501000002

شماره استاندارد بين المللي کتاب و موسيقي

9781484239124

شماره استاندارد بين المللي کتاب و موسيقي

9781484239148

موضوع مستند نشده

Data mining.

موضوع مستند نشده

Python (Computer program language)

موضوع مستند نشده

COMPUTERS-- Programming Languages-- Python.

موضوع مستند نشده

Data mining.

موضوع مستند نشده

Python (Computer program language)

موضوع مستند نشده

COM-- 051360

موضوع مستند نشده

UMX

موضوع مستند نشده

UMX

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Nelli, Fabio

تاريخ عمليات

20200823032423.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y