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Data Warehousing Concepts in SQL: Understanding Star and Snowflake Schemas

Table of Contents Introduction What Is a Data Warehouse? OLTP vs OLAP: The Need for Warehousing Key Components of a Data Warehouse What Is Dimensional Modeling? Facts and Dimensions Explained The...
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SQL with APIs and JSON Fields in PostgreSQL: Working with Semi-Structured Data

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SQL for Data Engineering: ETL Concepts and Building Scalable Data Pipelines

Table of Contents Introduction What Is Data Engineering and Why SQL Matters Understanding ETL (Extract, Transform, Load) SQL’s Role in Each ETL Stage Data Sources: Raw Data Ingestion with...
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SQL for Data Analysis: Deep Dive into KPIs and Cohort Analysis

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Error Handling in SQL: Managing Exceptions and Ensuring Reliable Transactions

Table of Contents Introduction Why Error Handling Matters in SQL Types of Errors in SQL Syntax Errors vs Runtime Errors Understanding Transaction Errors Rollbacks for Safe Error Recovery Error Handling in...

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Stored Procedures and Functions in SQL: Encapsulating Logic for Reuse and Automation

Table of Contents Introduction What Are Stored Procedures and Functions? Benefits of Using Stored Routines Stored Procedures vs Functions: Key Differences Syntax for Creating Stored Procedures Executing a Stored Procedure Parameters...

Triggers in SQL: Automating Database Behavior

Table of Contents Introduction What Is a Trigger in SQL? Why Use Triggers? Types of Triggers Syntax of a Trigger BEFORE vs AFTER Triggers INSERT, UPDATE, and DELETE Triggers Trigger Events: Row-Level...

Using Constraints in SQL: NOT NULL, UNIQUE, CHECK, and DEFAULT

Table of Contents Introduction What Are Constraints in SQL? Why Use Constraints? NOT NULL Constraint UNIQUE Constraint CHECK Constraint DEFAULT Constraint Combining Multiple Constraints Adding Constraints to Existing Tables Dropping Constraints Naming Constraints for Clarity Column-Level...

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Writing Tests with Pytest (Fixtures, Mocking): A Complete Guide

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Table of Contents Introduction Why Testing is Critical Why Use Pytest Setting Up Pytest Writing Your First Test Understanding Assertions in Pytest Organizing Tests in Pytest Advanced Pytest Features Pytest Fixtures: Setup and...

Introduction to Unit Testing in Python (unittest and doctest)

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Table of Contents Introduction What is Unit Testing? Why is Unit Testing Important? Python’s Built-in Testing Frameworks Overview of unittest Overview of doctest Writing Your First Unit Tests with unittest Writing and...

Best Practices for Memory and CPU Optimization in Python: A Deep Dive Guide

Kumar Prafull -
Table of Contents Introduction Understanding Performance Bottlenecks Memory Optimization Techniques Choosing the Right Data Structures Generators vs Lists Using __slots__ in Classes Memory Profiling Tools CPU Optimization Techniques Algorithm and Data Structure Optimization Leveraging...

Multithreading in CPU-Bound vs IO-Bound Programs: A Complete Analysis

Kumar Prafull -
Table of Contents Introduction Understanding CPU-Bound and IO-Bound Programs What is a CPU-Bound Program? What is an IO-Bound Program? How Multithreading Works in Python Multithreading in IO-Bound Programs Why It Works...

Numba for Just-in-Time Compilation: A Deep Dive

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Table of Contents Introduction to Numba and JIT Compilation How Numba Works: An Overview Installing Numba Numba Basics: Applying JIT Compilation Numba Performance Benefits Numba Advanced Features When to Use Numba Example:...

Cython for Speeding Up Python: A Comprehensive Guide

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Table of Contents Introduction What is Cython? How Cython Works Cython vs Pure Python The Role of Static Typing The Cython Compilation Process Installing Cython Using Cython in Python Projects Writing Cython Code Compiling...

Writing High-Performance Python Code: Best Practices and Techniques

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Table of Contents Introduction Why Performance Matters in Python Key Performance Bottlenecks in Python Global Interpreter Lock (GIL) Memory Management Inefficient Algorithms I/O Bound Operations Profiling Your Python Code Optimizing Algorithms and Data...

GIL (Global Interpreter Lock) Explained: Understanding Python’s Concurrency Mechanism

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Table of Contents Introduction What is the Global Interpreter Lock (GIL)? How Does the GIL Work in Python? The Impact of GIL on Multi-threaded Programs GIL and Python’s Threading...

Profiling Python Code: cProfile, timeit, and memory_profiler

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Table of Contents Introduction Why Profiling is Important Profiling with cProfile Overview of cProfile How to Use cProfile Interpreting cProfile Output Example of Using cProfile Profiling with timeit Overview of timeit How to Use...

Advanced Async Techniques: aiohttp, asyncpg in Python

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Table of Contents Introduction Why Advanced Async Techniques Matter Understanding aiohttp: Asynchronous HTTP Client and Server Installing aiohttp Making Asynchronous HTTP Requests with aiohttp Building an Asynchronous Web Server with...

Asyncio Fundamentals (Coroutines, Tasks, Futures) in Python: A Complete Deep Dive

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Table of Contents Introduction What is Asyncio in Python Understanding Coroutines Declaring and Running Coroutines Awaiting Coroutines Understanding Tasks Creating and Managing Tasks Scheduling Multiple Tasks Concurrently Understanding Futures Futures and Their Role in...

Threading vs Multiprocessing in Python: A Complete Deep Dive

Kumar Prafull -
Table of Contents Introduction What is Threading in Python How Python Threading Works Global Interpreter Lock (GIL) and its Impact Threading Use Cases Example of Threading What is Multiprocessing in Python How...
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