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The Data Wrangling Workshop

You're reading from   The Data Wrangling Workshop Create your own actionable insights using data from multiple raw sources

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781839215001
Length 576 pages
Edition 2nd Edition
Languages
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Authors (3):
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Dr. Tirthajyoti Sarkar Dr. Tirthajyoti Sarkar
Author Profile Icon Dr. Tirthajyoti Sarkar
Dr. Tirthajyoti Sarkar
Shubhadeep Roychowdhury Shubhadeep Roychowdhury
Author Profile Icon Shubhadeep Roychowdhury
Shubhadeep Roychowdhury
Brian Lipp Brian Lipp
Author Profile Icon Brian Lipp
Brian Lipp
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Toc

Table of Contents (11) Chapters Close

Preface
1. Introduction to Data Wrangling with Python 2. Advanced Operations on Built-In Data Structures FREE CHAPTER 3. Introduction to NumPy, Pandas, and Matplotlib 4. A Deep Dive into Data Wrangling with Python 5. Getting Comfortable with Different Kinds of Data Sources 6. Learning the Hidden Secrets of Data Wrangling 7. Advanced Web Scraping and Data Gathering 8. RDBMS and SQL 9. Applications in Business Use Cases and Conclusion of the Course Appendix

8. RDBMS and SQL

Activity 8.01: Retrieving Data Accurately from Databases

Solution:

These are the steps to complete this activity:

  1. Connect to the supplied petsdb database:
    import sqlite3
    conn = sqlite3.connect("petsdb")
  2. Write a function to check whether the connection has been successful:
    # a tiny function to make sure the connection is successful
    def is_opened(conn):
        try:
            conn.execute("SELECT * FROM persons LIMIT 1")
            return True
        except sqlite3.ProgrammingError as e:
            print("Connection closed {}".format(e))
            return False
    print(is_opened(conn))

    The output is as follows:

    True
  3. Close the connection:
    conn.close()
  4. Check whether the connection is open or closed:
    print(is_opened(conn))

    The output is as follows...

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