Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

In our earlier article, we demonstrated how to build an AI chatbot with the ChatGPT API and assign a role to personalize it. But what if you want to train the AI on your own data? For example, you may ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

Power BI is only as powerful as the data it connects to and the great news is, it can connect to almost everything. From spreadsheets to enterprise databases and even web data, Power BI makes it ...

In modern applications, a seamless CSV importer is crucial for efficient data onboarding and user satisfaction. CSV files are ubiquitous for exchanging data – from customer lists to product ...

Import a Firebird 1 database to pandas dataframes, show a summary of the database table names, field names, field data types, and index columns, optionally extract and save table data to a directory, ...

csv2db reads CSV files and loads them into a database. Rather than having to go through the CSV data first and find out what columns and data types are present in the CSV files, csv2db will read the ...

The BNT162b2 vaccine (Pfizer/BioNTech) has shown high efficacy 1 in preventing COVID-19 as well as real-world effectiveness for prevention of infection, symptoms, hospitalization, severe disease and ...

In this post, we will explore how to use automated machine learning (AutoML) to create new machine learning models over your data in SQL Server 2019 big data clusters. Manually selecting and tuning ...

Yesterday at the Microsoft Ignite conference, we announced that SQL Server 2019 is now in preview and that SQL Server 2019 will include Apache Spark and Hadoop Distributed File System (HDFS) for ...