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--- eolab:openhype:start [2022/11/07 17:42] – [NRW-Förderprojekt: OpenHygrisC Data Processing for Education (OpenHyPE)] rolf001
+++ eolab:openhype:start [2023/01/05 14:38] (current) – external edit 127.0.0.1
@@ Line 97: / Line 97: @@
 ===== 2.2 PostgreSQL/PostGIS	======
-PostgreSQL is also known as Postgres is a free and open-source relation database management system and according to the www.pgadmin.org, "Postgres Database is the most advanced open-source database in the world". We can store the time series data as well as geometry data in Postgres. In this project, we have used PGadmin which is the most popular and powerful open-source administration platform for Postgres Database.
+PostgreSQL, also known as Postgres, is a free and open-source relational database management system, and according to the official website of pgadmin, "Postgres Database is the most advanced open-source database in the world." In Postgres, we can store both time series and geometry data. In this project, we have used PGadmin, which is the most popular and powerful open-source administration platform for Postgres databases.
-**PostGIS:** PostGIS is technically an extension of the PostgreSQL database which helps to add support for geographical objects. PostGIS is open-source and free to use.
+**PostGIS:** PostGIS is technically an extension of the PostgreSQL database, which helps add support for geographical objects. PostGIS is open-source and free to use.
 The below image shows the PGadmin tool.
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    * Programming applications
-In this project, we have used Python for data engineering, data pre-processing and data analysis. Jupyter Notebook is used in this project to write python codes. The Jupyter Notebook is an open-source web application that data scientists simply can write the code and make it easier to document it. Simply we can combine python codes, text, images, comments and the result of the codes on the same page. The below image shows how code, text and the result of the code can be seen on a single page.
+In this project, we have used Python for data engineering, data pre-processing, and data analysis. Jupyter Notebook is used in this project to write Python codes. The Jupyter Notebook is an open-source web application that data scientists can simply write the code for and make it easier to document. Simply, we can combine Python codes, text, images, comments, and the result of the codes on the same page. The below image shows how code, text, and the result of the code can be seen on a single page.
 |  {{ :eolab:openhype:combination_code_text.jpg?800  }}  |
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 \\
-All the codes are available in below link.
+All the codes are available in the below link.
 [[ https://github.com/sina7272/LANUV_Groundwater |Click here for project codes]]