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Source channel @githubtrending · Post #15577 · Mar 20
#typescript#accounting#ai_analysis#currency_exchange#expenses#invoices#llm#llm_apps#self_hosted#taxes TaxHacker is a self-hosted AI app that automates accounting for freelancers and small businesses. Upload receipt photos or invoice PDFs, and it extracts key data like amounts, dates, merchants, taxes, and items, storing them in an easy database with auto-categorization, multi-currency conversion (even crypto), custom fields, and exports. You benefit by saving hours on manual entry, simplifying tax reports, ensuring privacy on your server, and focusing on your work instead of paperwork. https://github.com/vas3k/TaxHacker
Search: #sequential
@djangoproject · Post #98 · 07/11/2016, 12:22 PM
https://docs.python.org/3/library/asyncio.html #asyncio #Asynchronous programming is more complex than classical “#sequential” programming: see the Develop with asyncio page which lists common traps and explains how to avoid them. Enable the debug mode during development to detect common issues.
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@djangoproject · Post #153 · 09/03/2016, 08:20 PM
http://wla.berkeley.edu/~cs61a/fa11/lectures/streams.html In this chapter, we continue our discussion of real-world applications by developing new tools to process #sequential#data. In Chapter 2, we introduced a sequence interface, implemented in Python by built-in data types such as #tuple and #list. #Sequences supported two operations: querying their length and accessing an element by index. In Chapter 3, we developed a user-defined implementations of the sequence interface, the Rlist class for representing recursive lists. These sequence types proved effective for representing and accessing a wide variety of sequential #datasets.