03231nam a2200361Ia 450000500170000000800410001724500810005810000170013926000350015625000180019130000360020930000100024550000190025502000180027465000400029294400080033205000220034094300300036294400120039295300120040454600150041695300200043150505800045152015530103159100060258433600090259033700150259933800110261494200740262599800100269999900170270995201430272620260803094252.0251212s2023    xx            000 0 und d1 aPython data analytics : bwith Pandas, NumPy, and Matplotlib /cFabio Nelli.  aNelli, Fabio  aNew York, NY :bApress,c2023.  aThird edition  axxi, 445 pages: billustrations  c25 cm  aIncludes index  a9781484295311  aPython (Computer program language).  aCIR  a005.133 N329 2023  b0c0d0e1f0g0h1i0j0  b1c1d0  pHED6894  ain English  cCollege Library  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  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  a0  atext  aunmediated  avolume  2lcccBKadsolimenb2025-01-30 10:33:51ddsolimene2025-01-30 10:33:51  a13251  c13123d13123  00102ddc4070aHEDbHEDcHEDd2025-12-21l1oCIR 005.133 N329 2023pHED6894q2026-09-04r2026-08-28 12:06:01s2026-08-28w2025-12-21yBK