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The Helmholtz Association funded the ""Large-Scale Data Management and Analysis"" portfolio theme from 2012-2016. Four Helmholtz centres, six universities and another research institution in Germany joined to enable data-intensive science by optimising data life cycles in selected scientific communities. In our Data Life cycle Labs, data experts performed joint R&D together with scientific communities. The Data Services Integration Team focused on generic solutions applied by several communities.

Data Science --- Datenlebenszyklus --- Datenmanagement --- data management --- data analysis --- data science --- Big Data --- Datenanalyse --- data life cycle

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For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all - IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues : manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Py.

Data Mining. --- Data mining. --- Datenanalyse. --- Datenmanagement. --- Python (Computer program language). --- Python. --- Python (Computer program language) --- Data Mining --- Datenanalyse --- Datenmanagement --- Python --- Programming --- python --- data-analyse --- data mining --- machine learning --- Big data. --- Python (langage de programmation) --- Exploration de données. --- Données massives.

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"Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.9 and pandas 1.2, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process

Data Mining. --- Data mining. --- Datenanalyse. --- Datenmanagement. --- Programming languages (Electronic computers). --- Python (Computer program language). --- Python 3.6. --- Python (Computer program language) --- Programming languages (Electronic computers) --- Exploration de données. --- Python (langage de programmation) --- Langages de programmation. --- Data mining

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"Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process"--Page 4 of cover.

Python (Computer program language) --- Programming languages (Electronic computers) --- Data mining. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- PXL-IT 2018 --- programmeertalen --- Python --- Statistical science --- Mathematical statistics --- Programming --- Python (Computer program language). --- Programming languages (Electronic computers). --- Python 3.6. --- Datenanalyse. --- Datenmanagement. --- Data Mining. --- Database searching --- Electronic data processing --- Languages, Artificial --- Scripting languages (Computer science) --- Python 3.6 --- Datenanalyse --- Datenmanagement --- Data Mining --- Data mining --- python --- data-analyse --- data mining

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This book constitutes the refereed proceedings of the 7th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2013, held in Zhangjiajie, China, in August 2013. The 25 revised full papers presented together with 18 invited papers were carefully reviewed and selected from 80 submissions. The papers cover the following topics: effective and efficient state-of-the-art algorithm design and analysis, reliable and secure system development and implementations, experimental study and testbed validation, and new application exploration in wireless networks.

Computer science. --- Computer Communication Networks. --- Computer system performance. --- Computer software. --- Computer Science. --- Algorithm Analysis and Problem Complexity. --- Information Systems Applications (incl. Internet). --- System Performance and Evaluation. --- Computer Science, general. --- Wireless communication systems --- Mobile computing --- Engineering & Applied Sciences --- Computer Science --- Management --- Communication systems, Wireless --- Wireless data communication systems --- Wireless information networks --- Wireless telecommunication systems --- Software, Computer --- Informatics --- Computer communication systems. --- Computer system failures. --- Algorithms. --- Datensicherung. --- Datenverwaltung. --- Drahtloses Sensorsystem. --- Funknetz. --- Netzwerktopologie. --- Netzwerkverwaltung. --- Topologie --- Netzform --- Netzstruktur --- Netztopologie --- Netzarchitektur --- Rechnernetz --- Radio network --- Wireless network --- Drahtloses Telekommunikationsnetz --- Telekommunikationsnetz --- Wireless sensor network --- Drahtloses Sensornetz --- Sensorsystem --- Datenmanagement --- Dateiverwaltung --- Datensicherheit --- Sicherheit --- Computersicherheit --- Softwareschutz --- Netzwerkmanagement --- Network management --- Netzmanagement --- Telecommunication systems --- Netzwerk --- Datenverarbeitung --- Science --- Computer systems --- Application software. --- Computer failures --- Computer malfunctions --- Failure of computer systems --- System failures (Engineering) --- Fault-tolerant computing --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Algorism --- Algebra --- Arithmetic --- Failures --- Distributed processing --- Foundations --- Computer networks. --- Electronic digital computers—Evaluation. --- Computer and Information Systems Applications.