![]() Installing and setting up SQLite takes a matter of a few minutes. Once you feel comfortable working with SQL and Python, you can come back and resume from where you left off. Intro to SQL for Data Science by DataCamp.If you want to refresh these skills, the following resources might come in handy. Note: This tutorial assumes that you are already familiar with the basics of SQL (using any RDBMS) and Python (3). Creating databases and tables in SQLite.In this tutorial, you will be introduced to using SQLite in Python and following is the overview of the contents this tutorial covers. But the advantages are way more than the limitations. For example, it does not support joins like RIGHT OUTER JOIN and FULL OUTER JOIN. However, there are some limitations of SQLite as well. Fully transactional and concurrency-compliant.It is serverless which means you do not need any separate server for availing its services.Extremely light-weighted (not more than 500 KBs). ![]() SQLite is widely-used and is favorite among the developers for many reasons. Many different RDBMS exist, for example, MySQL, PostgreSQL, IBM DB2, Oracle 11g and so on. Relational database management systems (RDBMS) are extremely popular and are quite an integral part of application development.
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