Summary of the previous installment As the second half of STEP 1.0, I wrote about how to convert COBOL to Python and verify ...
Learn how to apply Clean Architecture in Python without overengineering, using domain entities, use cases, Protocols, and ...
Batch and streaming are two different ways of processing data, and both are relevant in today’s world. Pick the approach that’s right for you without falling ...
Measured preparation costs and processing speeds for fetching 100 blocks of data On October 12th of this year, I had the ...
Power Query, formulas and PivotTables each play a unique role in Excel workflows, addressing different stages of data handling and analysis. Power Query is designed for data preparation, such as ...
Now in Beta, the agentic code converter uses Genie Code to convert proprietary SQL to open ANSI SQL, launching swarms of parallel agents that iteratively convert code, validating syntax and semantic ...
JSON is great for APIs, storage, and application logic. But inside large language model (LLM) pipelines, it often carries a lot of token overhead that does not add much value to the model: braces, ...
Бывают ситуации, когда есть список значений, и нужно проверить, каких значений из списка нет в БД. Например, есть список: ['5-123', 'zak222', '65_1', '258a ...
Working with JSON in Python is often challenging. The basic json.loads() only gets you so far. API responses, configuration files, and data exports often contain JSON that is messy or poorly ...
Hello there! 👋 I'm Jin, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI In the era of big data and diverse data formats, the ability to store and query ...
Abstract: Text-to-SQL, as a hotspot in NLP, is a task of converting natural language text into the structured query language SQL, which makes database interaction more intuitive. This paper presents ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results