Data Science Dojo delivers data science education, consulting, and technical services to harvest the power of data.

Trademarks: This software listing is packaged by Data Science Dojo. The respective trademarks mentioned in the offering are owned by the respective companies, and use of them does not imply any affiliation or endorsement.

Jupyter Hub for SQL using Python gives you an effortless coding environment in the cloud with pre-installed python SQL libraries, which reduces the burden of installation and maintenance of tasks. Through this offer, a user can connect to different SQL database management systems (SQLite, MySQL, PostgreSQL, Oracle and SQL Server) with Python SQL libraries, and a user can easily manipulate and query their data. The heavy computations required for these applications are not performed on the user's local machine. Instead, They are performed in the Azure cloud, which increases responsiveness and processing speed.

• Teams of developers
• Data scientists
• Machine learning engineers
• Scientific researcher groups
• And anyone else interested in data science tools

• Pre-installed Python libraries and packages for SQL.
• Ready to go notebooks which consist of example codes through which user can get guidance for working on SQL applications using python.
• Code consoles to run code interactively, with full support for rich output.
• Kernel-backed documents enable code in any text file (Markdown, Python, etc.) to be run interactively in Jupyter kernel.
• Work with multiple notebooks at the same time.

• Minimum Recommended memory: 4GB RAM
• Minimum Recommended vCPU: 2 vCPUs
• Operating System: Ubuntu 20.04

Following Authoring Tools are supported in this offer:

• Jupyter Hub
• Jupyter Lab
• Terminal

Our instance supports following Python SQL libraries:

• Numpy
• matplotlib
• pandas
• seaborn
• plotly
• plotnine
• pandasql
• SQLAlchemy
• sqlite3
• python-sql
• ipython-sql
• pyodbc
• cx-Oracle
• mysql-connector-python
• psycopg2
• ReallySimpleDB
• SimpleSQLite

Our offer provides repositories from following sources:

• Github repository of SQL with Python, by Trainer Bryan Cafferky.
• Github repository of Python, Pandas and SQL workshop, Instructor Geoffrey Boushey.
• Github repository of Introduction to SQLalchemy, by Ssali Jonathan.
• Github repository of Python SQLite Tutorials, by Lenny Ng'ang'a (codewithlennylen).
• Github repository of Python cx_Oracle sample codes, by Oracle.

The default HTTP port Jupyter Hub listen to is 8000. You can access the web interface at http://yourip:8000

• Username: guest
• Password: guest@123