Open source software.
概要
| 作品: | 151 作品在 91 項出版品 91 種語言 | |
|---|---|---|
書目資訊
Reusing open source code = value creation and value appropriation perspectives on knowledge reuse /
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Firms in open source software development = managing Innovation beyond firm boundaries /
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OpenGeoSys tutorial = computational hydrology III: OGS#IPhreeqc coupled reactive transport modeling /
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Introduction to Python for engineers and scientists = open source solutions for numerical computation /
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Free and open source software in modern data science and business intelligence = emerging research and opportunities /
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Building an enterprise chatbot = work with protected enterprise data using open source frameworks /
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Beginning Git and GitHub = a comprehensive guide to version control, project management, and teamwork for the new developer /
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Deploy machine learning models to production = with Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform /
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Red Hat Certified Engineer (RHCE) study guide = Ansible automation for the Red Hat Enterprise Linux 8 Exam (EX294) /
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Quantum machine learning with Python = using Cirq from Google Research and IBM Qiskit /
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Monitoring cloud-native applications = lead agile operations confidently using open source software /
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Practical Arduino engineering = end to end development with the Arduino, Fusion 360, 3D printing, and Eagle /
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Practical glimpse = learn to edit and create digital photos and art with this powerful open source image editor /
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Creating game environments in Blender 3D = learn to create low poly game environments /
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Linux system administration for the 2020s = the modern Sysadmin leaving behind the culture of build and maintain /
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Beginning Ubuntu for Windows and Mac users = start your journey into free and open source software /
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Practical OpenTelemetry = adopting open observability standards across your organization /
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Nessus, Snort, & Ethereal power tools : = customizing open source security applications /
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Pentaho solutions : = business intelligence and data warehousing with Pentaho and MySQL /
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Open-source technologies for maximizing the creation, deployment, and use of digital resources and information
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Open source software in life science research = practical solutions in the pharmaceutical industry and beyond /
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Using open source platforms for business intelligence DUP_1 = avoid pitfalls and maximize ROI /
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Beginning Ubuntu for Windows and Mac users = start your journey into free and open source software /
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Docker for data science = building scalable and extensible data infrastructure around the Jupyter Notebook Server /
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Ensemble learning for AI developers = learn bagging, stacking, and boosting methods with use cases /
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Open source geospatial science for urban studies = the value of open geospatial data /
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Red Hat and IT security = with Red Hat Ansible, Red Hat OpenShift, and Red Hat security auditing /
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Practical machine learning with AWS = process, build, deploy, and productionize your models using AWS /
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Hyperparameter optimization in machine learning = make your machine learning and deep learning models more efficient /
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Practical natural language processing with Python = with case studies from industries using text data at scale /
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Migrating a Two-Tier Application to Azure = a hands-on walkthrough of azure infrastructure, platform, and container services /
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Delivering applications with VMware App. = delivering application layers to virtual desktops using VMware /. Volumes 4
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Learn Windows subsystem for Linux = a practical guide for developers and IT professionals /
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Open source software for statistical analysis of big data = emerging research and opportunities /
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Firm-sponsored developers in open source software projects = a social capital perspective /
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Digital filter design using Python for power engineering applications = an open source guide /
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Beginning Apache Spark 3 = with DataFrame, Spark SQL, structured streaming, and spark machine learning library /
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