💘 BondPySQL (part 1 : SQL)

A playful repository designed to make learning Python and SQL engaging and fun.
Explore relationships and digital connections through SQL queries, focusing on understanding core concepts.

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Databases & Relationships Modeling

An introduction to Entity-Relationship modeling : cardinalities, keys, constraints and more. All through the lens of romance.
Practical examples make complex concepts easy to understand.

For the deeper dive, check out the Wiki.

2.5 💎 Attributes, Relationships & more, The little things that matter

🔹 Attributes, every entity has attributes : eye_color, humor, height, income, ...
Querying feelings like :

SELECT *
FROM soulmate
WHERE income >= 100000
AND height >= 180
AND eye_color = 'green'
ORDER BY kindness DESC;

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Table of Contents, The Map of Love in SQL

💘 First dates with Databases

1.1 💎 Laying the foundation for a strong relationship
1.2 💎 Finding the one that fits your style (Types of DBs)
1.3 💎 DBMS, Your Data’s matchmaker

💘 ER Model & Relationships

2.1 💎 Tables, Rows and Columns
2.2 💎 Primary & Foreign Keys, The one & only
2.3 💎 Integrity Constraints, Rules of engagement
2.4 💎 Normalization and Denormalization
2.5 💎 Attributes, Relationships & more, The little things that matter

💘 SQL love Language

3.1 💎 Introduction
3.2 💎 DDL (Data Definition Language), Setting up the stage
3.3 💎 DML (Data Manipulation Language), Flirting with data 🚬🍷
3.4 💎 DCL (Data Control Language) & TCL (Transaction Control Language), Managing permissions & promises

💘 Data Manipulation (DML) : SELECT, INSERT, UPDATE & DELETE 🚬🍷

4.1 💎 SELECT (Simple and Advanced Queries), Art of asking
4.2 💎 INSERT (Adding Data), Adding new lovers to the story
4.3 💎 UPDATE (Modifying Data), Changing the details
4.4 💎 DELETE (Removing Data), Letting go gracefully
4.5 💎 Advanced Clauses and Expressions, Adding spice to the convo

💘 Table Structure and Management (DDL)

5.1 💎 CREATE TABLE
5.2 💎 ALTER TABLE, Growing & adapting
5.3 💎 DROP TABLE, Saying goodbye
5.4 💎 Indexing, Finding “the one” instantly instead of scanning the whole dating pool 🏄🏻‍♀️
5.5 💎 Constraints, Deal-breakers & promises

💘 Advanced Queries and SQL Functions, Taking it to the next level

6.1 💎 Aggregate Functions, Counting the blessings
6.2 💎 GROUP BY and HAVING Clauses
6.3 💎 JOINS, How couples form
6.4 💎 Secrets within secrets
6.5 💎 Views and Materialized Views
6.6 💎 Window Functions
6.7 💎 Triggers and Stored Procedures

💘 Transactions and Concurrency Control, Committing to exclusivity or breaking up gracefully

7.1 💎 ACID Properties 🫠 The pillars of a trustworthy relationship
7.2 💎 Transaction Commands, Keeping promises
7.3 💎 Transaction Isolation Levels 🫣 How private is your love ?
7.4 💎 Locking and Concurrency Control, Managing the dating pool 🤿

💘 Performance Optimization ⚡ Keeping the spark alive

8.1 💎 Query Execution Plans 💌 Reading the love letters carefully
8.2 💎 Indexing Strategies, Finding “the one” quicker
8.3 💎 Partitioning and Sharding, Long-distance love made manageable
8.4 💎 Writing Efficient Queries, Making every word count

💘 Security and DB Administration

9.1 💎 User Management and Permissions 🛡️ Who gets the VIP access ?
9.2 💎 Authentication and Access Control 🔐 Locking the doors tight
9.3 💎 Backup and Recovery
9.4 💎 Auditing and Compliance
9.5 💎 Data Encryption

Contributing

Got useful SQL snippets, resources or ideas to improve BondPySQL ?
Feel free to fork the repo, make changes and submit a pull request.

Community contributions are welcome. 🫶

Resources

SQL Tutorial - W3Schools
Python Tutorial - W3Schools