Advanced Python: Working with Databases (2020).
(eVideo)
Author
Contributors
Published
Carpenteria, CA linkedin.com, 2020.
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Format
eVideo
Language
English
Notes
General Note
10/09/202012:00:00AM
Participants/Performers
Presenter: Kathryn Hodge
Description
Explore the database options for powering your Python apps. Learn how to create and connect to different types of databases, including SQLite, MySQL, and PostgreSQL.
Description
To create functional and useful Python applications, you need a database. Databases allow you to store data from user sessions, track inventory, make recommendations, and more. However, Python is compatible with many options: SQLite, MySQL, and PostgreSQL, among others. Selecting the right database is a skill that advanced developers are expected to master. This course provides an excellent primer, comparing the different types of databases that can be connected through the Python Database API. Instructor Kathryn Hodge teaches the differences between SQLite, MySQL, and PostgreSQL and shows how to use the ORM tool SQLAlchemy to query a database. The final chapters put your knowledge to practical use in two hands-on projects: developing a full-stack application with Python, PostgreSQL, and Flask and creating a data analysis app with pandas and Jupyter Notebook. By the end, you should feel comfortable creating and using databases and be able to decide which Python database is right for you.
System Details
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
Citations
APA Citation, 7th Edition (style guide)
Hodge, K. (2020). Advanced Python: Working with Databases (2020) . linkedin.com.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Hodge, Kathryn. 2020. Advanced Python: Working With Databases (2020). linkedin.com.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Hodge, Kathryn. Advanced Python: Working With Databases (2020) linkedin.com, 2020.
MLA Citation, 9th Edition (style guide)Hodge, Kathryn. Advanced Python: Working With Databases (2020) linkedin.com, 2020.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouped Work ID
b3135bd4-c2c1-1f07-7bca-d65e14fd0e7a-eng
Grouping Information
| Grouped Work ID | b3135bd4-c2c1-1f07-7bca-d65e14fd0e7a-eng |
|---|---|
| Full title | advanced python working with databases 2020 |
| Author | hodge kathryn |
| Grouping Category | movie |
| Last Update | 2024-03-29 16:39:36PM |
| Last Indexed | 2024-04-17 02:33:07AM |
Book Cover Information
| Image Source | sideload |
|---|---|
| First Loaded | Feb 23, 2022 |
| Last Used | Feb 23, 2022 |
Marc Record
| First Detected | Nov 10, 2021 06:47:41 AM |
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| Last File Modification Time | Mar 29, 2024 04:41:35 PM |
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| 520 | |a To create functional and useful Python applications, you need a database. Databases allow you to store data from user sessions, track inventory, make recommendations, and more. However, Python is compatible with many options: SQLite, MySQL, and PostgreSQL, among others. Selecting the right database is a skill that advanced developers are expected to master. This course provides an excellent primer, comparing the different types of databases that can be connected through the Python Database API. Instructor Kathryn Hodge teaches the differences between SQLite, MySQL, and PostgreSQL and shows how to use the ORM tool SQLAlchemy to query a database. The final chapters put your knowledge to practical use in two hands-on projects: developing a full-stack application with Python, PostgreSQL, and Flask and creating a data analysis app with pandas and Jupyter Notebook. By the end, you should feel comfortable creating and using databases and be able to decide which Python database is right for you. | ||
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