The authors of the encoding/json library thought the same. As a way to exit from deep down in a parse stack it works well especially if you only have limited entry points.…
Amazon WorkMail, part of the AWS suite of tools, $4/month/user last I looked. If you host your domain on route53 setup is painless. It's an exchange server compatible service and provides some MDM functionality.
I can answer for the type stable julia case, if you have a struct in julia that is composed only of primitive types this is stored as a C struct with zero overhead and fixed byte length. An array of these is then crazy…
unfortunately, I don't have access to that code anymore, I wrote a number of loaders for different data set types including CSV. The time series were all modeled as forward iterating stream of tuples, so there is no…
I've written similar in Julia, you can see the record type used in https://www.juliapackages.com/p/namedtuples. The full library, not in the open source, uses this type for time series analysis. It's all type safe and…
they are also, type stable, strongly typed and have the same overhead as a struct. So an array of NamedTuples takes the minimal space and allocation.
I'm not the best placed person to answer about Python, my background is primarily C++/Java and functional languages. The types in general get out of the way. The ability to specialize behavior by types makes for some…
This is great news for Julia. As a person who has spent the best part of year coding almost exclusively in Julia (I work in finance, we were one of the main sponsors of JuliaCon, though these are my personal thoughts) I…
The authors of the encoding/json library thought the same. As a way to exit from deep down in a parse stack it works well especially if you only have limited entry points.…
Amazon WorkMail, part of the AWS suite of tools, $4/month/user last I looked. If you host your domain on route53 setup is painless. It's an exchange server compatible service and provides some MDM functionality.
I can answer for the type stable julia case, if you have a struct in julia that is composed only of primitive types this is stored as a C struct with zero overhead and fixed byte length. An array of these is then crazy…
unfortunately, I don't have access to that code anymore, I wrote a number of loaders for different data set types including CSV. The time series were all modeled as forward iterating stream of tuples, so there is no…
I've written similar in Julia, you can see the record type used in https://www.juliapackages.com/p/namedtuples. The full library, not in the open source, uses this type for time series analysis. It's all type safe and…
they are also, type stable, strongly typed and have the same overhead as a struct. So an array of NamedTuples takes the minimal space and allocation.
I'm not the best placed person to answer about Python, my background is primarily C++/Java and functional languages. The types in general get out of the way. The ability to specialize behavior by types makes for some…
This is great news for Julia. As a person who has spent the best part of year coding almost exclusively in Julia (I work in finance, we were one of the main sponsors of JuliaCon, though these are my personal thoughts) I…