000			03079nam a2200349Ia 4500
005			20260803094252.0
008			251212s2023 xx 000 0 und d
245	1		_aPython data analytics : _bwith Pandas, NumPy, and Matplotlib / _cFabio Nelli.
100			_aNelli, Fabio
260			_aNew York, NY : _bApress, _c2023.
250			_aThird edition
300			_axxi, 445 pages: _billustrations
300			_c25 cm
500			_aIncludes index
020			_a9781484295311
650			_aPython (Computer program language).
944			_aCIR
050			_a005.133 N329 2023
943			_b0 _c0 _d0 _e1 _f0 _g0 _h1 _i0 _j0
944			_b1 _c1 _d0
953			_pHED6894
546			_ain English
953			_cCollege Library
505			_a1. An Introduction to Data Analysis -- 2. Introduction to the Python`s World -- 3. The NumPy Library -- 4. The pandas Library-- An Introduction -- 5. pandas: Reading and Writing Data -- 6. pandas in Depth: Data Manipulation -- 7. Data Visualization with matplotlib -- 8. Machine Learning with scikit-learn -- 9. Deep Learning with TensorFlow -- 10. An Example - Meteorological Data -- 11. Embedding the JavaScript D3 Library in IPython Notebook -- 12. Recognizing Handwritten Digits -- 13. Textual data Analysis with NLTK -- 14. Image Analysis and Computer Vision with OpenCV
520			_a"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 third edition is fully updated for the latest version of Python and its related libraries, and includes coverage of 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, Third Edition is an invaluable reference with its examples of storing, accessing, and analyzing data. What You`ll Learn Understand the core concepts of data analysis and the Python ecosystem Go in depth with pandas for reading, writing, and processing data Use tools and techniques for data visualization and image analysis Examine popular deep learning libraries Keras, Theano,TensorFlow, and PyTorch Who This Book Is For Experienced Python developers who need to learn about Pythonic tools for data analysis" -- Ohiolink
591			_a0
336			_atext
337			_aunmediated
338			_avolume
942			_2lcc _cBK _adsolimen _b2025-01-30 10:33:51 _ddsolimen _e2025-01-30 10:33:51
998			_a13251
999			_c13123 _d13123