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Importing Data Stored in Python's Memory into MySQL: A Guide in Python Environment

  • Writer: datasoyoung
    datasoyoung
  • Feb 9, 2024
  • 2 min read

How do I import data stored in the memory of my python environment using MySQL in Python environment?


When exploring a DataCamp notebook, I encountered a scenario where the author seamlessly transitioned from Python to SQL queries. Attempting to replicate this process, I encountered challenges due to the absence of guidance on how to execute SQL queries within Python outside of prebuilt environments. In this post, I detail my journey to successfully import data from Python's memory into a MySQL database.


1. Setting Up MySQL: To initiate the process, I installed MySQL from MySQL Downloads, ensuring access to a database and server for SQL query processing.


2. Installing Required Packages: Using Anaconda prompt, I installed pymysql to enable Python to interact with MySQL databases seamlessly. Following the same process, I installed sqlalchemy, a prerequisite for connecting Python to MySQL.






3. Connecting MySQL to Python: As a beginner, identifying the host and database names proved challenging(So, I am attaching the screenshot where I found the info in MySQL workbench).






4. Creating Engine and DataFrame: With MySQL connected, I created an engine and converted the desired table, named 'raw_data', stored in Python's memory into a DataFrame. This allowed for the seamless integration of Python's data into SQL queries.





5. Executing SQL Query: Leveraging the DataFrame and SQL, I executed queries. For instance, I ran a query to count occurrences of specific variables while grouping and sorting them accordingly.





6. Verification and Iteration: Before finalizing the process, I iteratively checked the query's output to ensure its accuracy and alignment with the desired outcome.




By meticulously documenting each step and overcoming obstacles along the way, I successfully navigated the process of importing data stored in Python's memory into a MySQL database. Through this journey, I not only gained a deeper understanding of Python-MySQL integration but also honed my problem-solving skills as a self-taught learner.


My entire code: (will be uploaded soon. I am still working on it)



 
 
 

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