Maddison Project 1100 1000 1300 1200 1400 1500 1600 1700 1800 1900 2000 Printing Press Steam Engines Telegraph Electrification Mass Steel Production Mass Production & Assembly Lines Internal Combustion 19th-century Britain, where he noticed that improvements in the efficiency of coal-powered steam engines were not reducing coal consumption but rather increasing it. In his book The Coal Question, he noted formation, bruising competition, and – eventually – clear-cut winners and losers. Alasdair Nairn’s ‘Engines That Move Markets’ (link here) distills two centuries of such cycles, and his observations are prescient

TVM: Where are we going Tianqi ChenCurrent Deep Learning Landscape Frameworks and Inference engines DL Compilers Kenrel Libraries Hardware CuDNN NNPack MKL-DNN Hand optimized Open source, automated

applications, IoT devices, logs, etc.) and data consumers (dashboards, AI/ML models, analytics engines, business applications), a Real-Time UDL empowers organizations to unlock faster decision-making

languages support true parametric polymorphism (e.g. ML, Haskell, Scala), while others support ad-hoc, template-based styles of generic programming (e.g. C++, Java). With so many different varieties of generic using dispatch in this way. Extracting the type parameter from a super-type Here is a correct code template for returning the element-type T of any arbitrary subtype of AbstractArray that has well-defined PkgTemplates t = Template() t("MyPkg") This will create a blank package, "MyPkg", in your .julia/dev directory. Note that PkgTem- plates allows you to control many different options through its Template constructor

languages support true parametric polymorphism (e.g. ML, Haskell, Scala), while others support ad-hoc, template-based styles of generic programming (e.g. C++, Java). With so many different varieties of generic using dispatch in this way. Extracting the type parameter from a super-type Here is a correct code template for returning the element-type T of any arbitrary subtype of AbstractArray that has well-defined PkgTemplates t = Template() t("MyPkg") This will create a blank package, "MyPkg", in your .julia/dev directory. Note that PkgTem- plates allows you to control many different options through its Template constructor

RequestHandler.write to produce a response. render() loads a Template by name and renders it with the given arguments. write() is used for non-template-based output; it accepts strings, bytes, and dictionaries also be used with any other Python template language, although there is no provision for integrating these systems into RequestHandler.render. Simply render the template to a string and pass it to RequestHandler default, Tornado looks for template files in the same directory as the .py files that refer to them. To put your tem- plate files in a different directory, use the template_path Application setting (or

Running and deploying Web framework tornado.web — RequestHandler and Application classes tornado.template — Flexible output generation tornado.routing — Basic routing implementation tornado.escape — Escaping methods Error Handling Redirection Asynchronous handlers Templates and UI Configuring templates Template syntax Security Internationalization UI modules Authentication and security Cookies and signed RequestHandler.write to produce a response. render() loads a Template by name and renders it with the given arguments. write() is used for non-template-based output; it accepts strings, bytes, and dictionaries

languages support true parametric polymorphism (e.g. ML, Haskell, Scala), while others support ad-hoc, template-based styles of generic programming (e.g. C++, Java). With so many different varieties of generic using dispatch in this way. Extracting the type parameter from a super-type Here is a correct code template for returning the element-type T of any arbitrary subtype of AbstractArray that has well-defined PkgTemplates t = Template() t("MyPkg") This will create a blank package, "MyPkg", in your .julia/dev directory. Note that PkgTem- plates allows you to control many different options through its Template constructor

languages support true parametric polymorphism (e.g. ML, Haskell, Scala), while others support ad-hoc, template-based styles of generic programming (e.g. C++, Java). With so many different varieties of generic using dispatch in this way. Extracting the type parameter from a super-type Here is a correct code template for returning the element-type T of any arbitrary subtype of AbstractArray that has well-defined PkgTemplates t = Template() t("MyPkg") This will create a blank package, "MyPkg", in your .julia/dev directory. Note that PkgTem- plates allows you to control many different options through its Template constructor

languages support true parametric polymorphism (e.g. ML, Haskell, Scala), while others support ad-hoc, template-based styles of generic programming (e.g. C++, Java). With so many different varieties of generic using dispatch in this way. Extracting the type parameter from a super-type Here is a correct code template for returning the element-type T of any arbitrary subtype of AbstractArray that has well-defined PkgTemplates t = Template() t("MyPkg") This will create a blank package, "MyPkg", in your .julia/dev directory. Note that PkgTem- plates allows you to control many different options through its Template constructor