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Data Analysis with Python and Pyspark

為了解決program planning pdf的問題，作者Rioux, Jonathan 這樣論述：

Think big about your data! PySpark brings the powerful Spark big data processing engine to the Python ecosystem, letting you seamlessly scale up your data tasks and create lightning-fast pipelines.In Data Analysis with Python and PySpark you will learn how to: Manage your data as it scales acros

s multiple machines Scale up your data programs with full confidence Read and write data to and from a variety of sources and formats Deal with messy data with PySpark’s data manipulation functionality Discover new data sets and perform exploratory data analysis Build automated data pipelines that t

ransform, summarize, and get insights from data Troubleshoot common PySpark errors Creating reliable long-running jobs Data Analysis with Python and PySpark is your guide to delivering successful Python-driven data projects. Packed with relevant examples and essential techniques, this practical book

teaches you to build pipelines for reporting, machine learning, and other data-centric tasks. Quick exercises in every chapter help you practice what you’ve learned, and rapidly start implementing PySpark into your data systems. No previous knowledge of Spark is required. Purchase of the print boo

k includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology The Spark data processing engine is an amazing analytics factory: raw data comes in, insight comes out. PySpark wraps Spark’s core engine with a Python-based API. It helps simplify Spark’s steep

learning curve and makes this powerful tool available to anyone working in the Python data ecosystem. About the bookData Analysis with Python and PySpark helps you solve the daily challenges of data science with PySpark. You’ll learn how to scale your processing capabilities across multiple machin

es while ingesting data from any source--whether that’s Hadoop clusters, cloud data storage, or local data files. Once you’ve covered the fundamentals, you’ll explore the full versatility of PySpark by building machine learning pipelines, and blending Python, pandas, and PySpark code. What’s inside

Organizing your PySpark code Managing your data, no matter the size Scale up your data programs with full confidence Troubleshooting common data pipeline problems Creating reliable long-running jobs About the reader Written for data scientists and data engineers comfortable with Python. About th

e author As a ML director for a data-driven software company, Jonathan Rioux uses PySpark daily. He teaches the software to data scientists, engineers, and data-savvy business analysts. Table of Contents 1 Introduction PART 1 GET ACQUAINTED: FIRST STEPS IN PYSPARK 2 Your first data program in PySp

ark 3 Submitting and scaling your first PySpark program 4 Analyzing tabular data with pyspark.sql 5 Data frame gymnastics: Joining and grouping PART 2 GET PROFICIENT: TRANSLATE YOUR IDEAS INTO CODE 6 Multidimensional data frames: Using PySpark with JSON data 7 Bilingual PySpark: Blending Python and

SQL code 8 Extending PySpark with Python: RDD and UDFs 9 Big data is just a lot of small data: Using pandas UDFs 10 Your data under a different lens: Window functions 11 Faster PySpark: Understanding Spark’s query planning PART 3 GET CONFIDENT: USING MACHINE LEARNING WITH PYSPARK 12 Setting the stag

e: Preparing features for machine learning 13 Robust machine learning with ML Pipelines 14 Building custom ML transformers and estimators

Advances in Medical Physics and Healthcare Engineering: Proceedings of Amphe 2020

為了解決program planning pdf的問題，作者 這樣論述：

Dr. Moumita Mukherjee is an alumnus of Presidency College (Kolkata) and Calcutta University. Dr. Mukherjee received M.Sc. (Physics) degree with specialization in Electronics and Communication, M.Tech. degree in Biomedical Engineering and Ph.D. (Tech.) degree in Radio Physics and Electronics (2009),

University of Calcutta, India. She has worked as DRDO-Scientist under DRDO, Ministry of Defence, Government of India, till 2015. She obtained ’Visiting Scientist’ position from Newcastle University, UK (2009--2011). She obtained PDF position from Technical University, Darmstadt, Germany (2010). Dr.

Mukherjee is Visiting/Adjunct Professor and a member of Board of Studies of the Joint Academic program on Biomedical Instrumentation under Calcutta University and the West Bengal University of Health Sciences. In continuation of her position at DRDO, she joined Adamas University in 2015 and presentl

y working as Associate Professor - Department of Physics - and Associate Dean & Academic Coordinator of School of Science. She has guided more than 30 postgraduate thesis under Calcutta University & West Bengal University of Health Sciences, West Bengal University of Technology (WBUT) and Adamas Uni

versity. She is presently guiding/completed 11 (Eleven) Ph.D. theses under Adamas University and WBUT as Supervisor/Jt. Supervisor. Her research interest is focused on THz electronics, semiconductor devices based on wide-band-gap semiconductors, graphene electronics, photosensors, nano-biosensors an

d medical electronics & instruments, and biomedical imaging. She has published more than 150 peer-reviewed research papers on THz electronics, semiconductor devices, biomedical electronics & instrumentation and photonics in reputed international refereed journals including IEEE, SPIE, ELSEVIER, SPRI

NGER and reviewed conference proceedings with more than 850 citations globally with h-index 16. She is Principal Investigator of three industry funded research projects. She is a reviewer of a number of international peer-reviewed journals and editorial board member of international journals. She ha

s worked as Volume Editor of ISBN numbered books published from UK and India. She has delivered a number of invited talks and presented several research articles in IEEE International Conferences in India and abroad.Dr. Mukherjee has received National Merit Scholarship award from Government of India

and was enlisted in ’Marques Who’s Who in Science and Engineering’ and ’Marques Who’s Who in the World.’ She has received ’IEEE best paper award’ three times in 2009, 2010 and 2019, prestigious ’Best Scientist Award, ’ ’Bharat Gaurav Award’ in 2015, Best paper award in Science and Technology Congre

ss, India, in 2012, Best paper award in International Conference MICRO 2019. Dr. Mukherjee is a member of IEEE (USA), IEEE-ED society (USA), and a life member of Biomedical Society of India, Indian Science News Association and Indian Science Congress.Prof. J K Mandal, M.Tech. (Computer Science, Univ

ersity of Calcutta), Ph.D. (Engg., Jadavpur University) in the field of Data Compression and Error Correction Techniques, and is Professor in Computer Science and Engineering, University of Kalyani, India. He is Former Dean Faculty of Engineering, Technology & Management 2008-2012 (two consecutive t

erms) and has 29 years of teaching and research experiences. He served as Professor, Computer Applications, Kalyani Government Engineering College for two years. He served as Associate and Assistant Professor at the University of North Bengal for sixteen years. He is a life member of Computer Societ

y of India since 1992 and a life member of Cryptology Research Society of India. He is a member of AIRCC. He is Honorary Chairman of CSI Kolkata Chapter 2016-17. He is working in the field of network security, steganography, remote sensing & GIS application, image processing, wireless and sensor net

works. He is Domain Expert of Uttar Banga Krishi Viswavidyalaya, Bidhan Chandra Krishi Viswavidyalaya, for planning and integration of public domain networks. He is Chief Editor, Advanced Computing: An International Journal, Associate Editor (Guest), Microsystem Technologies, Springer, Chief Editor,

CSI Journal of Computing and Editor of Proceedings of ETCS 2012, NIDS-98 and ERC-95 of CSI. Seventeen Scholars awarded Ph.D., one submitted till January 2017, and 8 scholars are pursuing their Ph.D. degree. He published five books from LAP--Lambert Academic Publishing, Germany, and one book from IG

I Global publishers, Indexed by Thomson Reuters. Total number of publications is 359 including 146 publications in various international journals. He edited fifteen volumes as Volume Editor from Science Direct, Springer, CSI etc., organizing various international conferences of Springer and Science

Direct. He is Director, IQAC, University of Kalyani, and Chairman, Center for Information Resource Management (CIRM), Kalyani University. He has successfully executed five research projects funded by AICTE, Ministry of IT Government of West Bengal.Dr. Siddhartha Bhattacharyya [LFOSI, LFISRD, FIETE,

FIEI, SMIEEE, SMIETI, SMACM, LMCRSI, LMCSI, LMISTE, LMIUPRAI, LMCEGR, LMICCI, LMALI, MIET, MIRSS, MIAENG, MCSTA, MIAASSE, MIDES, MISSIP, MSDIWC] is currently serving as Professor in the Department of Computer Science and Engineering of Christ University, Bangalore. He is a co-author of 5 books and C

o-Editor of 54 books and has more than 280 research publications in international journals and conference proceedings to his credit. He has got two PCTs to his credit. He is Associate Editor of Applied Soft Computing, IEEE Access, Evolutionary Intelligence and IET Quantum Communications. He is Found

ing Editor-in-Chief of International Journal of Hybrid Intelligence, Inderscience. He is serving as Book Series Editor of IGI Global, De Gruyter, CRC Press, John Wiley & Sons, Elsevier and Springer. His research interests include hybrid intelligence, pattern recognition, multimedia data processing,

social networks and quantum computing.Christian Huck obtained his doctorate in chemistry in 1998 from the University in Innsbruck, Austria, where he continued to work as Assistant Professor until the habilitation in 2006. In 2013, he received a call as Full Professor at the University of Stuttgart,

Germany, and in 2015, another call back to the University of Innsbruck, where he is currently Vice-Head of the Institute of Analytical Chemistry and Radiochemistry and Head of the spectroscopy unit. From 2014 until 2017, he was Visiting Professor at Kwansei-Gakuin University in Sanda, Japan, in the

laboratory of Professor Yukihiro Ozaki. Christian has published more than 300 peer-reviewed manuscripts resulting in an h-index of 49 based on more than 8500 citations. Besides several numerous awards, he was also the receiver of 2018 Tomas Hirschfeld Award. In his research, he is mainly focusing on

vibrational spectroscopic technologies (NIR, MIR, Raman) for life and material science. Currently, he is Editor-in-Chief for Spectrochimica Acta A (Elsevier) and NIR news (Sage).Dr. Satarupa Biswas is Assistant Professor in the Department of Physics at Adamas University since February 2019. She com

pleted her doctoral studies from Indian Institute of Technology Kharagpur on Retinal prosthesis. She earned her B. Tech. and M.Tech. degrees, both in Biomedical Engineering, from West Bengal University of Technology and Jadavpur University, respectively. Her area of specialization includes neural re

habilitation, microdevice fabrication, simulation of medical devices, electrophysiology and biomedical instrumentation. She has authored 15 articles in reputed peer-reviewed international journals and national and international conferences. She is a reviewer for IET Micro & Nano Letters. She has rec

eived certification in Neural Networks and Deep Learning, Healthcare Innovations, Healthcare Organizations and Health Systems, and Fundamental Neuroscience for Neuroimaging. She is a member of IEEE Kolkata section. As an executive committee member of IEEE EMBS student club of IIT Kharagpur section,

she actively participated in organizing various academic events and activities.

運用責任漸轉模式（GRR模式）以實踐學習者中心教與學之個案研究—以六年級國語文領域教學為例

為了解決program planning pdf的問題，作者洪千惠 這樣論述：

為協助學生於教育以及生活之中展現真正的能動性，成為夠面向未來的學習者，以探索複雜且不確定的世界，須以學習者為中心思考教與學的議題。然而，實踐以學習者為中心的教與學時，於重新分配學習責任此一重要區塊，卻是教師們感到棘手之處。責任漸轉模式（GRR模式）為一系統性的教學架構，強調透過學習責任的漸次遞轉，協助學生具備能力以承擔完全的學習責任，正可為此一困境提供解方。本研究聚焦於探究傳遞移轉學習責任的歷程，透過參與觀察、訪談與文件分析等方式，先分析個案班級將GRR模式融入國語文領域教學的歷程脈絡，再整合既有的理論架構，繪製出能適應台灣課堂文化之在地化GRR模式運作架構，以提供未來實務教學與學術研究所用

。本研究之結論可歸納為：一、在GRR模式的融合規劃方面：從整合中著手，從主題中規劃。二、在傳遞學習責任的建置系統方面：在變化中推進，在系統中傳遞。三、在順暢模式運作的教學策略方面：在有效中運作，在順暢中遞轉 。四、在發展責任的教學啟示方面：在過渡中推進，在行為中加強。五、在運作架構的繪製發展方面：在進程中演變，在整合中運轉。