Matrix::Dan_Morris

Megapole by RSI (MS-Dos, 2015)

> https://www.youtube.com/watch?v=Z8Av7Sc7yGY

[ PoTD ]: Paper of The Day: The next 700 programming languages

Abstract
A family of unimplemented computing languages is described that is intended to span differences of application area by a unified framework. This framework dictates the rules about the uses of user-coined names, and the conventions about characterizing functional relationships. Within this framework the design of a specific language splits into two independent parts. One is the choice of written appearances of programs (or more generally, their physical representation). The other is the choice of the abstract entities (such as numbers, character-strings, list of them, functional relations among them) that can be referred to in the language.

The system is biased towards “expressions” rather than “statements.” It includes a nonprocedural (purely functional) subsystem that aims to expand the class of users' needs that can be met by a single print-instruction, without sacrificing the important properties that make conventional right-hand-side expressions easy to construct and understand.


#Keywords
#important_property #unified_framework #abstract_entity #programming_language #conventional_right-hand-side_expression #unimplemented_computing_language #specific_language_split #independent_part #application_area #functional_relation #functional_relationship

> https://dl.acm.org/doi/10.1145/365230.365257

Funtoo FAQ: Learn by Doing -- Ready-to-fix bugs!

Ever wonder about how to get started with Funtoo development? In this video I tell you about a new addition to the bug tracker -- ready to fix bugs! These bugs are queued up and documented with steps on how they should be fixed. They are great for beginners who want to start doing Funtoo Linux development but who are unsure of how to start.

> https://www.youtube.com/watch?v=iDGq64D0rRo

[ PoTD ]: Paper of The Day: Using Kullback-Leibler Distance for Text Categorization

Abstract
A system that performs text categorization aims to assign appropriate categories from a predefined classification scheme to incoming documents. These assignments might be used for varied purposes such as filtering, or retrieval. This paper introduces a new effective model for text categorization with great corpus (more or less 1 million documents). Text categorization is performed using the Kullback-Leibler distance between the probability distribution of the document to classify and the probability distribution of each category. Using the same representation of categories, experiments show a significant improvement when the above mentioned method is used. KLD method achieve substantial improvements over the tfidf performing method.

#Keywords
#Information_Retrieval #Text_Categorization #Category_Learning #Query_Expansion #Training_Corpus

> https://link.springer.com/chapter/10.1007%2F3-540-36618-0_22

Machine city. everything have begin and end.

> https://www.youtube.com/watch?v=DX3qLIwHoUo

The Second Renaissance: Part I

> https://www.youtube.com/watch?v=L0K6Cb1ZoG4

{#meta #tags}
#python #python3 #python-library #http-requests #python-requests #web-scraping #download-file #speed #curl #cython #urllib #faster-than-requests #scrapper #open-data #urllib3 #requests3 #scrapy #ndjson #high-performance #requests-toolbelt

Faster requests on Python 3

>
https://github.com/juancarlospaco/faster-than-requests

❝Distro Priscilla on Kernel Panic - 🎥 - jul 24, 2019❞

>
https://youtu.be/phP9kuMHgDU

日本は私を待 :3

>
https://www.youtube.com/watch?v=z64HCi2rQkE