Joshua Cook – författare
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9 produkter
9 produkter
E-bok
Engelska, 201727 kr
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Mankind is stagnant. Still fighting the same fights since the end of the 20th century. While technology advances at a blistering pace, socially, humanity is becoming stunted. Someone or Something, known only as the 'Administrator' is determined to change the path that humanity is on. A small push in certain places, and the combined weight of public opinion will change. But who is the Administrator? What is the ultimate goal? And who will get sacrificed to reach the endgame?
E-bok
Engelska11 kr
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E-bok
Engelska21 kr
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Häftad, Engelska, 2017
676 kr
Skickas inom 10-15 vardagar
Learn Docker "infrastructure as code" technology to define a system for performing standard but non-trivial data tasks on medium- to large-scale data sets, using Jupyter as the master controller.It is not uncommon for a real-world data set to fail to be easily managed. The set may not fit well into access memory or may require prohibitively long processing. These are significant challenges to skilled software engineers and they can render the standard Jupyter system unusable. As a solution to this problem, Docker for Data Science proposes using Docker. You will learn how to use existing pre-compiled public images created by the major open-source technologies—Python, Jupyter, Postgres—as well as using the Dockerfile to extend these images to suit your specific purposes. The Docker-Compose technology is examined and you will learn how it can be used to build a linked system with Python churning data behind the scenesand Jupyter managing these background tasks. Best practices in using existing images are explored as well as developing your own images to deploy state-of-the-art machine learning and optimization algorithms.What You'll Learn Master interactive development using the Jupyter platformRun and build Docker containers from scratch and from publicly available open-source imagesWrite infrastructure as code using the docker-compose tool and its docker-compose.yml file typeDeploy a multi-service data science application across a cloud-based systemWho This Book Is ForData scientists, machine learning engineers, artificial intelligence researchers, Kagglers, and software developers
E-bok
Engelska, 2017865 kr
Läs direkt efter köp
Learn Docker "infrastructure as code" technology to define a system for performing standard but non-trivial data tasks on medium- to large-scale data sets, using Jupyter as the master controller.It is not uncommon for a real-world data set to fail to be easily managed. The set may not fit well into access memory or may require prohibitively long processing. These are significant challenges to skilled software engineers and they can render the standard Jupyter system unusable. As a solution to this problem, Docker for Data Science proposes using Docker. You will learn how to use existing pre-compiled public images created by the major open-source technologies—Python, Jupyter, Postgres—as well as using the Dockerfile to extend these images to suit your specific purposes. The Docker-Compose technology is examined and you will learn how it can be used to build a linked system with Python churning data behind the scenesand Jupyter managing these background tasks. Best practices in using existing images are explored as well as developing your own images to deploy state-of-the-art machine learning and optimization algorithms.What You''ll Learn Master interactive development using the Jupyter platformRun and build Docker containers from scratch and from publicly available open-source imagesWrite infrastructure as code using the docker-compose tool and its docker-compose.yml file typeDeploy a multi-service data science application across a cloud-based systemWho This Book Is ForData scientists, machine learning engineers, artificial intelligence researchers, Kagglers, and software developers
E-bok
Engelska, 201627 kr
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James Blackwoad loves order, systems, and figuring problems out. His only real problem is dealing with office politics and a Director at his work that seems to have it in for him. But when computer systems start to become infected with a new virus, he is quickly thrown into a world of cyber crime, government agencies, and far more danger than he realizes. Trust no one, for cold betrayal is everywhere.
Häftad, Engelska, 2023
276 kr
Skickas inom 5-8 vardagar
Del 27 - Monographs in Baptist History
Benjamin Wallin
A Respectable Minister's Proclamation of the Gospel in Eighteenth-Century London
Inbunden, Engelska, 2023
406 kr
Skickas inom 5-8 vardagar
E-bok
Engelska, 2023487 kr
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How did the gospel survive in an age fraught with rationalism and High Calvinist theology that frowned upon preaching salvation to all? What shifts in preaching were evident that could have signaled that the preaching of the day was straying from the heritage of the past? Who was Benjamin Wallin and why should this once-famous but now-forgotten preacher be studied yet again? Benjamin Wallin seeks to answer these questions as it reintroduces the modern reader to this remarkable Particular Baptist preacher who remained steadfast in his insistence that the gospel be preached to all.