Python DB was designed to allow conformant modules to provide a consistent interface to different database products. This helps developers to write Python applications that are portable across databases. This tutorial shows how to use pyodbc with an ODBC driver, which you can download from this site. Easysoft ODBC drivers have been tested with pyodbc 2. The pyodbc module requires Python 2. When testing on RedHat, we used Python 2.
On Ubuntu, we used Python 2. On Debian, we used Python 2. For installation instructions, see the ODBC driver documentation. At the prompt, type "help" to display a list of tables. To exit, press return in an empty prompt line.
On Unix and Linux platforms, you need to download the pyodbc source distribution and build it against an ODBC driver manager. We recommend that you use the driver manager distributed with the driver because this is the version of unixODBC that we test the driver with. Note To rebuild pyodbc, you may need to manually remove the build directory tree by using rm -r build rather than python setup.
Note If you need to rebuild pyodbc, first remove the build directory tree by using rm -r build rather than python setup. When testing with pyodbc 2. As a consequence, running python setup. As the tests access and manipulate database tables, they provide another way to test pyodbc against your ODBC driver and database.
We therefore recommend that you run them. To do this:. The pyodbc. The test suite is most relevant to SQL Server therefore. The test suite does skip some tests based on data type information reported by the ODBC driver.
However, some tests are still run even though the driver has reported that the prerequisite data type is not available. To see which tests pyodbctest skips, include the -d option when running the tests. When we tested pyodbc, Easysoft ODBC drivers passed all tests that the target database was capable of passing. For example:. To run the tests, cd into the directory created by unzipping the pyodbc distribution file and type:.
The pyodbc tests attempt to create tables and procedures and insert and retrieve data. Your data source therefore needs to connect to a database in which these actions are permitted.Code samples are included. Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. It was created by Guido van Rossum and first released in The ODBC driver manager and driver will connect, typically over a network, to the database server.
For more information on pyodbc, see the Github Pyodbc Wiki. Once a connection has been established, your application can execute selects, inserts, or other ODBC operations supported by your driver and database.
While this tutorial uses a simple code sample to connect and demonstrate basic operations, we recommend that you fully test your ODBC driver with the complete set of operations you expect to use in your production application.
A quick test connection can demonstrate that connectivity has been successfully established, but won't necessarily test all the operations and load used by a full application.
Instead of using a data source, the code can also be modified to pass a connection string to the pyodbc. Then follow our tutorial to connect to your database using Python and pyodbc.
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The Python workload includes the helpful Cookiecutter extension that provides a graphical user interface to discover templates, input template options, and create projects and files. For details, see Use Cookiecutter. See questions and answers. Download and run the latest Visual Studio installer. Install Visual Studio Community. The Community edition is for individual developers, classroom learning, academic research, and open source development.
The installer presents you with a list of workloads, which are groups of related options for specific development areas. For Python, select the Python development workload.
Optional: if you're working with data science, also consider the Data science and analytical applications workload. This workload includes support for the Python, R, and F languages. For more information, see Data science and analytical applications workload. This workload includes support for the Python and F languages.
On the right side of the installer, chose additional options if desired. Skip this step to accept the default options. After installation, the installer provides options to modify, launch, repair, or uninstall Visual Studio. The Modify button changes to Update when updates to Visual Studio are available for any installed components. The Modify option is then available on the drop-down menu. Example error : Failed to start interactive process: System.
Win32Exception 0x : Unknown error 0xc at Microsoft. Once Visual Studio setup is complete, install a Python interpreter of your choice. Visual Studio supports only Python 3. If you already have an interpreter installed and Visual Studio doesn't detect it automatically, see Manually identify an existing environment.
Install a Python interpreter of your choice. Python Tools for Visual Studio 1. You may also leave feedback directly on GitHub. Skip to main content. Exit focus mode. Tip The Python workload includes the helpful Cookiecutter extension that provides a graphical user interface to discover templates, input template options, and create projects and files.
Tip The Community edition is for individual developers, classroom learning, academic research, and open source development. Option Description Python distributions Choose any combination of the available options, such as bit and bit variants of the Python 2, Python 3, Miniconda, Anaconda2, and Anaconda3 distributions that you plan to work with.
Each includes the distribution's interpreter, runtime, and libraries. Anaconda, specifically, is an open data science platform that includes a wide range of pre-installed packages. You can return to the Visual Studio installer at any time to add or remove distributions. Note : If you've installed a distribution outside of the Visual Studio installer, there's no need to check the equivalent option here.
Visual Studio automatically detects existing Python installations. See The Python Environments window. Also, if a newer version of Python is available than what's shown in the installer, you can install that version separately and Visual Studio will detect it.
Cookiecutter template support Installs the Cookiecutter graphical UI to discover templates, input template options, and create projects and files.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Already on GitHub? Sign in to your account. Back when I started working with pymssql, pyodbc wasn't in very good shape. However, Microsoft has just announced official support for pyodbc:. With that announcement, it seems we might be fighting an up-hill battle to keep pymssql maintained. Most users will gravitate towards pyodbc as the "official" solution for mssql.
We already struggle to attract enough developer talent to keep pymssql updated as recent issue requests for a new release show.
To my knowledge, SurveyMonkey is using pymssql still. So unless I can get amazing support for pyodbc issues on unix which I was not able to do beforeI'd prefer pymssql keep up the good work.
Diversity only helps.
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Sometimes we had to compile some parts from sources and put them together to our liking, but as of last couple of years everything seems to be working fine from official packages. That is, if we aren't adding value to the ecosystem, let's admit that.
I'm not saying we aren't, I'm not convinced we aren'tI just want to have a discussion about it. Also, if the proposal ends up being accepted, the repos and such wouldn't go away. Someone else could always resurrect the project in the future if needed. We would just admit it's not being developed anymore because pyodbc is the recommended backend for SQL Server in python.
That was my experience too, years ago. Who's really pointing people anywhere? People pick the ones that work best. But right now this thread is basically about adding work for people like me. Let's see that up on CI generously provided by microsoft. Then this entire discussion has some meaning for me. Otherwise I've no idea what we're doing. Perhaps they'd be willing to assist maintaining this project because it is certainly the more accepted and likely more 'performant' mysql database access method vs odbc on Linux.
I don't see why they would be interested if they already produce an ODBC driver for Linux and already have pyodbc as an officially supported way of using it from Python. I've only had the occasion to do one head-to-head comparison of pyodbc vs. Details in the Stack Overflow answer here. Dabo uses pymssql. There is no support for pyodbc from the Dabo people.
Potential advantages of pyodbc over pypyodbc by being written in C would be:. Potential advantages of pypyodbc over pyodbc by written in Python would be:. The maturity thing is largely dependent on pyodbc not being buggy.
In my experience that is not true and it has had a fair number of memory leak bugs etc. And see comments on this answer - there is evidence that pyodbc can be quite problematic. The author's claim is that pypyodbc is a reimplementation of the pyodbc code in Python, and that would mean that the feature coverage should be equivalent.
There may be some corner cases that have been less tried in the newer code though.
Learn more. Ask Question. Asked 7 years, 2 months ago. Active 5 years ago. Viewed 12k times. Gord Thompson Tony Tony 1 1 gold badge 3 3 silver badges 16 16 bronze badges. I think JDBC is more popular. I have also found that JDBC is easier to use. There is also the issue of compiling Python packages with C components.
Active Oldest Votes. Potential advantages of pyodbc over pypyodbc by being written in C would be: speed - see the pypyodbc wiki comparison more conservative memory usage Potential advantages of pypyodbc over pyodbc by written in Python would be: Less likely to contain C pointer issues Slightly less likely to contain memory allocation issues Simpler to maintain; a higher-level language means less lines of code Much much easier to install without compilation issues which require a separate build for separate versions of Python, platform etc Advantages of maturity: Fewer bugs More comprehensive coverage of features Better handling of corner-cases The maturity thing is largely dependent on pyodbc not being buggy.
Disclaimer: I haven't yet tried pypyodbc. David Fraser David Fraser 4, 33 33 silver badges 48 48 bronze badges. I was under the impression that pyodbc needed to be re-compiled each time a new version of Python is released.
Certainly when I tried to install the latest version of pyodbc on my Windows machine that has Python 3. Rather than fiddling with it I just installed pypyodbc via pip and it works fine. Also, I've seen a number of cases here on SO where problems with pyodbc were solved by moving to pypyodbc.
Things have changed in the last four years.Pandas SQL - How to read data from a microsoft sql database
See this question for a more recent discussion. FWIW, I now use pyodbc. Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password. Post as a guest Name. Email Required, but never shown. The Overflow Blog.It is included as a standard part of a Windows install. It only works with. It is also officially deprecated. It is not included with Windows, but it is normally included as part of a Microsoft Office install.
It is also available as a free stand-alone "redistributable" installer for machines without Microsoft Office. There are separate bit and bit versions of the "ACE" Access Database Engine and driversand normally one has either the bit version or the bit version installed.
It is possible to force both versions to exist on the same machine but it is not recommended as it can "break" Office installations. Therefore, if you already have Microsoft Office it is highly recommended that you use a Python environment that matches the "bitness" of the Office install.
If you see an empty list then you are running bit Python and you need to install the bit version of the "ACE" driver. For each, you need to pass in the name of an access file that can be used. Microsoft Access Specifications and Limitations. Skip to content. Connecting to Microsoft Access Jump to bottom. Pages You signed in with another tab or window. Reload to refresh your session.
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