Alphabet / Meta = CapEx Up…Free Cash Flow Margins Down 174 Capital Expenditure, Free Cash Flow Margin, Revenue Growth – C2023-C2024, per Capital IQ Note: FCF calculated as cash flow from operations & Retail; FCF not broken out across subsidiaries. Source: Capital IQ (5/25) CapEx Free Cash Flow Margin Revenue Microsoft Amazon Alphabet (Google) Meta Platforms (Facebook) $35B $56B +58% $53B $83B tens of millions of users. The story is different outside China, where ChatGPT leads by a wide margin. The bifurcation is clear: domestic champions are emerging in China, while global platforms dominate

css_files methods: class Entry(tornado.web.UIModule): def embedded_css(self): return ".entry { margin-bottom: 1em; }" def render(self, entry, show_comments=False): return self.render_string( "module-entry be rewritten to put the following in module-entry.html: {{ set_resources(embedded_css=".entry { margin-bottom: 1em; }") }} This revised template module would be invoked

methods: class Entry(tornado.web.UIModule): def embedded_css(self): return ".entry { margin-bottom: 1em; }" def render(self, entry, show_comments=False): return self.render_string( could be rewritten to put the following in module-entry.html:{{ set_resources(embedded_css=".entry { margin-bottom: 1em; }") }} This revised template module would be invoked

arguments, unlike lapply(, function, ...) in R. Similarly Julia's equivalent of apply(X, MARGIN, FUN, ...) in R is mapslices where the function is the first argument. • Multivariate apply in

arguments, unlike lapply(, function, ...) in R. Similarly Julia's equivalent of apply(X, MARGIN, FUN, ...) in R is mapslices where the function is the first argument. • Multivariate apply in

arguments, unlike lapply(, function, ...) in R. Similarly Julia's equivalent of apply(X, MARGIN, FUN, ...) in R is mapslices where the function is the first argument. • Multivariate apply in

arguments, unlike lapply(, function, ...) in R. Similarly Julia's equivalent of apply(X, MARGIN, FUN, ...) in R is mapslices where the function is the first argument. • Multivariate apply in

arguments, unlike lapply(, function, ...) in R. Similarly Julia's equivalent of apply(X, MARGIN, FUN, ...) in R is mapslices where the function is the first argument. • Multivariate apply in

arguments, unlike lapply(, function, ...) in R. Similarly Julia's equivalent of apply(X, MARGIN, FUN, ...) in R is mapslices where the function is the first argument. • Multivariate apply in

arguments, unlike lapply(, function, ...) in R. Similarly Julia's equivalent of apply(X, MARGIN, FUN, ...) in R is mapslices where the function is the first argument. • Multivariate apply in