pyodbc
mypyc
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pyodbc
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Is there a way to monitor in real time all SQL commands Sent to SQL Server 2017 through Python
Python can script and view this via pyodbc... https://github.com/mkleehammer/pyodbc/wiki
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Problems Changing a Password with Pyodbc
I am not 100% sure you call stored procedure correctly. in the examples they declare @out parameter for the procedures with output.
- Trying to deploy a windows based Python & Flask web app
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Self-hosted Car Infotainment
pyodbc has the odb2 part figured out. This could be useful instead of reinventing the wheel. The rest I can't think of anything that has been done. Sounds like an interesting project.
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How to use a value more than once in a Prepared Statement (pyodbc)
From its documentation it looks like pyodbc conforms to the DB API, so you can probably use named parameters by passing a dictionary to execute(), as described here.
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Installing pyodbc in termux help
~ $ pip show pyodbc Name: pyodbc Version: 4.0.34 Summary: DB API Module for ODBC Home-page: https://github.com/mkleehammer/pyodbc Author: Author-email: License: MIT Location: /data/data/com.termux/files/usr/lib/python3.10/site-packages Requires: Required-by:
- Weird error with driver - Data source name not found and no default driver specified
- pyodbc, unixODBC Driver Manager Error
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ODBC and OLE DB connections "going stale" after several hours
I am trying to migrate data from our Enterprise Data Warehouse to one of our own reporting databases via ODBC and Python scripts. The python scripts import pyodbc to handle the database connections and execute SQL queries. A system DSN is defined on our ETL server for each database involved in the process.
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Python using MS Access?
See the docs.
mypyc
- Making use of type hints
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Writing Python like it's Rust
That would be interesting! You might already be aware. But there's mypyc[0], which is an AOT compiler for Python code with type hints (that, IIRC, mypy uses to compile itself into a native extension).
Wanted to give you a head-start on the lit-review for your students I guess :)
[0] https://github.com/mypyc/mypyc
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The different uses of Python type hints
https://github.com/mypyc/mypyc
> Mypyc compiles Python modules to C extensions. It uses standard Python type hints to generate fast code. Mypyc uses mypy to perform type checking and type inference.
> Mypyc can compile anything from one module to an entire codebase. The mypy project has been using mypyc to compile mypy since 2019, giving it a 4x performance boost over regular Python.
I have not experience a 4x boost, rather between 1.5x and 2x. I guess it depends on the code.
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The Python Paradox
Funny how emergence works with tools. Give a language too few tools but viral circumstances - the ecosystem diverges (Lisps, Javascript). Give it too long an iteration time but killer guarantees, you end up with committees. Python not falling into either of these traps should be understood as nothing short of magic in emergence.
I only recently discovered that python's reference typechecker, mypy, has a small side project for typed python to emit C [1], written entirely in python. Nowadays with python's rich specializer ecosystem (LLVM, CUDA, and just generally vectorized math), the value of writing a small program in anything else diminishes quickly.
Imagine reading the C++wg release notes in the same mood that you would the python release notes.
[1] https://github.com/mypyc/mypyc
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Codon: A high-performance Python compiler
> Note that the mypyc issue tracker lives in this repository! Please don't file mypyc issues in the mypy issue tracker.
See https://github.com/mypyc/mypyc/blob/master/show_me_the_code....
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ELI5: Can’t one write a compiler for Python and make everything go brrrr?
And mypyc https://github.com/mypyc/mypyc
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Is it time for Python to have a statically-typed, compiled, fast superset?
More recent approaches include mypyc which is (on the tin) quite close to what you describe, and taichi that lives in between.
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Pholyglot version 0.0.0 (PHP to PHP+C polyglot transpiler)
Have you encountered mypyc?
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Python 3.11 is 25% faster than 3.10 on average
https://github.com/mypyc/mypyc
> Mypyc compiles Python modules to C extensions. It uses standard Python type hints to generate fast code. Mypyc uses mypy to perform type checking and type inference.
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Comparing implementations of the Monkey language VIII: The Spectacular Interpreted Special (Ruby, Python and Lua)
Regarding the large execution time mentioned in your article, I discovered (mypyc)[https://github.com/mypyc/mypyc] on this subreddit in a post from the black formatter team https://www.reddit.com/r/Python/comments/v2009i/im_that_person_who_got_black_compiled_with_mypyc/?utm_medium=android_app&utm_source=share
What are some alternatives?
PyHive - Python interface to Hive and Presto. 🐝
Cython - The most widely used Python to C compiler
PyAthena - PyAthena is a Python DB API 2.0 (PEP 249) client for Amazon Athena.
mypy - Optional static typing for Python
TinyDB - TinyDB is a lightweight document oriented database optimized for your happiness :)
beartype - Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
SQLMap - Automatic SQL injection and database takeover tool
CPython - The Python programming language
django-pyodbc-azure - Django backend for Microsoft SQL Server and Azure SQL Database using pyodbc
pex - A tool for generating .pex (Python EXecutable) files, lock files and venvs.
shillelagh - Making it easy to query APIs via SQL
pyccel - Python extension language using accelerators