Free internet radio, just like Pandora only fewer ads and more variety. Listen to hundreds of genre stations or create your own with your favorite music. In this tutorial, I will show you How To Install Django In Mac. Django is available open-source under the BSD license. We recommend using the latest version of Python 3. If you plan to use Django’s database API functionality, you’ll need to make sure a database server is running. Django supports many different database servers and is officially supported with PostgreSQL, MariaDB, MySQL, Oracle and SQLite. If you are developing a small project or something you don’t plan to deploy in a production environment, SQLite is generally the best option as it doesn’t require running a separate server.
Jungle Live Wallpaper is an Android Personalization app that is developed by Jango LWP Studio and published on Google play store on NA. It has already got around 50000 so far with an average rating of 4.0 out of 5 in play store.
Jungle Live Wallpaper requires Android OS version of 3.4 and up. Also, it has a content rating of Everyone from which one can decide if it is suitable to install for family, kids or adult users.
Since Jungle Live Wallpaper is an Android app and cannot be installed on Windows PC or MAC directly, we will show how to install and play Jungle Live Wallpaper on PC below:
- Firstly, download and install an Android emulator to your PC
- Download Jungle Live Wallpaper APK to your PC
- Open Jungle Live Wallpaper APK using the emulator or drag and drop the .APK file into the emulator to install the app. OR
- If you do not want to download the .APK file you can still run Jungle Live Wallpaper PC by connecting or configuring your Google account with the emulator and downloading the app from play store directly.
If you follow the above steps correctly, you should have the Jungle Live Wallpaper app ready to run on your Windows PC or MAC.
Some projects require a MSSQL database (either legacy or for other reasons). Unfortunately Django doesn't officially support this database (yet).
In this tutorial we will show how to connect to MSSQL from Python/Django using pyodbc.
Installing on Mac OS X
First of all we must install two dependencies: freetds and libiodbc. Let's use MacPorts for this (http://www.macports.org/). The MacPorts Project is an open-source community initiative to design an easy-to-use system for compiling, installing, and upgrading either command-line, X11 or Aqua based open-source software on the Mac OS X operating system.
Now we have to install pyodbc and django-pyodbc (in your virtualenv of course!)
When everything is ready we can set up odbc. To do this open ODBC Manager -> Drivers -> Add… and enter this data (change path if needed):
Driver Name: FreeTDS
Driver file: /opt/local/var/macports/software/freetds/0.82_0/opt/local/lib/libtdsodbc.so
It appears as if the system stores ODBC configuration data in /Library/ODBC, but the Mac Ports stores configuration in /opt/local/etc. So lets do some symlinks:
That's it!
Installing on Ubuntu
First of all we must install two dependencies: freetds and libiodbc.
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Then we install pyodbc and django-pyodbc:
When we have all in place, we must set up odbc. To do this edit odbcinst.ini file (change path if needed):
– sudo vim /etc/odbcinst.ini
and paste this configuration:
You are ready to use MSSQL now!
Django Settings
Last step is proper settings file. Here is an example:
Most important are ENGINE and OPTIONS.
'ENGINE' should be set to 'sql_server.pyodbc''driver' name is a name used in odbc configuration.
If you use remote db, you must use `'host_is_server': True` parameter.
Last important param is 'TDS_VERSION=8.0'. We must declare TDS protocol version.
After all these steps, you should be able to connect MSSQL successfully.
Troubleshooting
You might encounter an error when trying to read Decimal fields: MemoryError of fetching results. – on Mac OS XHY003 Program type out of range (SQLGetData() ) when trying read numerical field (MSSQL) – on Ubuntu
Jango Mac Os Update
It seems that problem was fixed by wesm at github: https://github.com/wesm/pyodbc/tree/getdata-decimal-bug
Jango Mac Os Download
When you update pyodbc with this build (pyodbc 2.1.10-beta04) problems should dissapear! Hope this post was helpful and saved you some development time.