Python’s adaptability is one of its strongest assets. In web development, frameworks like Django and Flask enable developers to create robust and scalable web applications with ease. Data scientists rely on libraries such as pandas and NumPy to manipulate and analyze large datasets efficiently. The...
It is a very comprehensive generic SQL parser with a robust test suite. It is also quite performant, while being written purely in Python. You can easily customize the parser, analyze queries, traverse expression trees, and programmatically build SQL. Syntax errors are highlighted and dialect in...
“OK, so Python is one of the favorite languages used by Linux admins. But hasn’t PowerShell been open-sourced under the MIT License and made available for Linux as well? Has it not already help with using SQL on Linux? Why add support for Python as well? How are we to get starte...
It is said that DWARF is faster than SJLJ for 32 bits, but not that big of a deal in the EYE LEVEL even in big GUI applications. Firebird SQL https://firebirdsql.org/en/about-firebird/ is a cross-platform open source RDBMS project written in C++ (which I personally use as my main ...
Yes, you can use any scripting languages in software automation testing. Scripting skill is necessary to write unit tests and BVT scripts. Most of the testing projects need SQL knowledge especially if you are a backend tester. It’s subject of debate whether tester should look at the code or...
I also know my way around Oracle SQL (including PL/SQL), OpenBase, SQLBase, SQLite etc As for OOP, my first OOP language was Smalltalk (under OS/2). About as OOP as you can get. I wrote financial transaction systems for a major European investment bank back in the ’90s with it ...