In this article, we will see some python examples to get help for python codes for making the program more optimized in terms of speed and performance. Don't you get tired of lengthy programs that take a long time to run? No problem readers, because this article will help you guide how to write your python codes efficiently without affecting its performance. Optimizing your Python code is an absolute necessity that makes your program much more efficient, saving the system memory and leading to faster results. Some of the ways to optimize your code; are list comprehensions, built-in functions, and libraries, etc. As a new learners in programming, people are choosing Python as their first language because the language is easy to learn and has been used in multiple applications.

Since SQL Server 2016, a new function called R Services has been introduced. Microsoft recently announced a preview for the next version of SQL Server, which extends the advanced analytical ability to Python. This new capability of running R or Python in-database at scale enables us to keep the analytics services close to the data and eliminates the burden of data movements. To get the most out of SQL server, knowing how to fine tune the intelligence model itself is far from sufficient and sometimes still fail to meet the performance requirement. There are quite a few optimization tips and tricks that could help us boost the performance significantly.