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2-Working-With-Data/07-python/README.md

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 [![Intro Video](images/video-ds-python.png)](https://youtu.be/dZjWOGbsN4Y)
 
-While databases offer very efficient ways to store data and query them using query languages, the most flexible way of data processing is writing your own program to manipulate data. In many cases, doing a database query would be a more effective way. However in some cases when more complex data processing is needed, it cannot be done easily on SQL. 
+While databases offer very efficient ways to store data and query them using query languages, the most flexible way of data processing is writing your own program to manipulate data. In many cases, doing a database query would be a more effective way. However in some cases when more complex data processing is needed, it cannot be done easily using SQL. 
 Data processing can be programmed in any programming language, but there are certain languages that are higher level with respect to working with data. Data scientists typically prefer one of the following languages:
 
 * **[Python](https://www.python.org/)**, a general-purpose programming language, which is often considered one of the best options for beginners due to its simplicity. Python has a lot of additional libraries that can help you solve many practical problems, such as extracting your data from ZIP archive, or converting picture to grayscale. In addition to data science, Python is also often used for web development.