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Abstract

SQLAlchemy in Python (Overview)</b> (02:49)</li></ol><ul><li>An introduction to SQLite and SQLAlchemy in Python.</li></ul><ol><li><b>Flat CSV Files</b> (04:28)</li></ol><ul><li>Exploring the use of flat CSV files for data storage.</li></ul><ol><li><b>Relational Databases</b> (13:53)</li></ol><ul><li>Understanding the concept and usage of relational databases.</li></ul><ol><li><b>SQLAlchemy: Core Text</b> (14:13)</li></ol><ul><li>Exploring the core text features of SQLAlchemy.</li></ul><ol><li><b>SQLAlchemy: Core Statements</b> (10:17)</li></ol><ul><li>Understanding and using core statements in SQLAlchemy.</li></ul><ol><li><b>SQLAlchemy: ORM</b> (09:02)</li></ol><ul><li>Exploring the Object-Relational Mapping (ORM) capabilities of SQLAlchemy.</li></ul><ol><li><b>Many-to-Many Relationships</b> (12:40)</li></ol><ul><li>Understanding and working with many-to-many relationships in databases.</li></ul><ol><li><b>SQLite and SQLAlchemy in Python (Summary)</b> (03:54)</li></ol><ul><li>A summary of the key concepts and learning points covered in the course.</li></ul><h2 id="b5f4">Downloadable Resources</h2><p id="7d5d">Along with the video lessons, this course also includes the following downloadable resources:</p><ul><li><a href="/courses/sqlite-sqlalchemy-python/downloads/sqlite-sqlalchemy-slides/">Course Slides (.pdf)</a></li><li><a href="/courses/sqlite-sqlalchemy-python/downloads/sqlite-sqlalchemy-python-code/">Sample Co

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de (.zip)</a></li></ul><h2 id="18f6">Related Learning Paths</h2><p id="c674">This course is part of the “Data Collection & Storage” learning path. If you’re interested in further exploring data collection and storage techniques in Python, you can delve into this learning path to enhance your skills.</p><h2 id="c3e2">Conclusion</h2><p id="b75f">By completing this course, you will gain a comprehensive understanding of how to leverage SQLite and SQLAlchemy in Python to move your data beyond flat files. Whether you’re a data enthusiast or a Python developer looking to enhance your data management skills, this course will equip you with the knowledge and tools to effectively work with data in Python.</p><p id="b509">Now, let’s dive into the world of SQLite, SQLAlchemy, and Python to take your data storage and manipulation capabilities to the next level.</p><div id="0ea1" class="link-block"> <a href="https://readmedium.com/python-site-connectivity-checker-314f7664b85e"> <div> <div> <h2>Python Site Connectivity Checker</h2> <div><h3>undefined</h3></div> <div><p>undefined</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/1*4kSdlOKEQqdYroo_Bdg_dA.jpeg)"></div> </div> </div> </a> </div></article></body>

SQLite, SQLAlchemy, and Python: A Comprehensive Guide

SQLite and SQLAlchemy in Python: A Comprehensive Guide

When programming in Python, there comes a point where you need to store and retrieve data from one invocation to the next. This is where databases come into play. Python along with SQLite and SQLAlchemy can provide your programs with database functionality, allowing you to store data in a single file without the need for a database server.

Flat Files vs. SQL Databases

Python allows you to store and manipulate data using flat files like CSV, JSON, XML, and even custom formats. Flat files are often human-readable text files with a structure that can be parsed by a computer program. On the other hand, SQL databases offer more robust and efficient data storage and manipulation capabilities.

In this comprehensive guide, you will learn how to effectively use flat files for data storage and how to leverage SQL, SQLite, and SQLAlchemy to improve access to persistent data and work with data as Python objects.

Course Overview

This course consists of 8 lessons with a total duration of 1 hour and 11 minutes:

SQLite and SQLAlchemy in Python (Overview) (02:49)

An introduction to SQLite and SQLAlchemy in Python.

Flat CSV Files (04:28)

Exploring the use of flat CSV files for data storage.

Relational Databases (13:53)

Understanding the concept and usage of relational databases.

SQLAlchemy: Core Text (14:13)

Exploring the core text features of SQLAlchemy.

SQLAlchemy: Core Statements (10:17)

Understanding and using core statements in SQLAlchemy.

SQLAlchemy: ORM (09:02)

Exploring the Object-Relational Mapping (ORM) capabilities of SQLAlchemy.

Many-to-Many Relationships (12:40)

Understanding and working with many-to-many relationships in databases.

SQLite and SQLAlchemy in Python (Summary) (03:54)

A summary of the key concepts and learning points covered in the course.

Downloadable Resources

Along with the video lessons, this course also includes the following downloadable resources:

Related Learning Paths

This course is part of the “Data Collection & Storage” learning path. If you’re interested in further exploring data collection and storage techniques in Python, you can delve into this learning path to enhance your skills.

Conclusion

By completing this course, you will gain a comprehensive understanding of how to leverage SQLite and SQLAlchemy in Python to move your data beyond flat files. Whether you’re a data enthusiast or a Python developer looking to enhance your data management skills, this course will equip you with the knowledge and tools to effectively work with data in Python.

Now, let’s dive into the world of SQLite, SQLAlchemy, and Python to take your data storage and manipulation capabilities to the next level.