#python#chatbi#deepseek#llm#nl2sql#rag#sqlbot#text_to_sql#text2sql
SQLBot is an easy-to-use intelligent system that turns natural language questions into SQL queries using advanced AI models and retrieval-augmented generation (RAG). You just need to set up your AI model and data source to start asking questions about your data. It integrates smoothly with other business systems and AI platforms, making it simple to add smart data querying to your apps. It also ensures data security with workspace-based resource isolation and fine-grained access control. You can quickly deploy it on a Linux server using Docker, enabling fast, secure, and intelligent data interaction without needing deep SQL knowledge. This saves you time and improves data accessibility.
https://github.com/dataease/SQLBot
https://mborgerson.com/creating-an-executable-from-a-python-script/
Creating an Executable from a Python Script
Python is one of my favorite programming languages. That being said, if you've ever had to deploy an application written in Python then you know just how painful it can be.
#PyInstaller
http://www.pyinstaller.org/
#PyInstaller is a program that #freezes (#packages) Python programs into #stand_alone#executables, under Windows, Linux, Mac OS X, FreeBSD, Solaris and AIX. Its main advantages over similar tools are that PyInstaller works with Python 2.7 and 3.3—3.5, it builds smaller executables thanks to transparent compression, it is fully multi-platform, and use the OS support to load the dynamic libraries, thus ensuring full compatibility.
https://www.infoworld.com/article/3230202/python/6-essential-libraries-for-every-python-developer.html
6 essential libraries for every Python developer
Whether you're compiling Python for speed, building native UIs for Python desktop apps, or refining existing Python code, these Python projects have you covered
Python has seen wide adoption across industries and disciplines by dint of being easy to work with. But it has also been aided by a wealth of third-party projects—libraries, add-ons, and complementary development efforts—that extend the language to an ever widening range of use cases.
#PyPy
#CFFI(C Foreign Function Interface library)
#PyInstaller
#PBR(Python Build Reasonableness)
#WxPython
#Mypy