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🐍 Python Programming and SQL – 7 in 1 From Beginners to Advanced (2025 Edition)

Your Complete Guide to Data Management, Analytics & Modern Programming

📘 Title: Python Programming and SQL – 7 in 1 From Beginners to Advanced: The Complete Guide to Data Management and Analysis (2025 Edition)
👨‍💻 Author: Pharell Hearst
✍️ Edited & Summarized by: Engineering Fun
📄 Pages: 152
🌐 Language: English
📂 Format: PDF
💾 Size: 952 KB
📚 Category: Computer Books
📥 👉 DOWNLOAD FREE PDF HERE

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🚀 Introduction: Why Python + SQL Is the Ultimate Data Skillset

In today’s data-driven world, businesses rely heavily on accurate, fast, and meaningful insights to make critical decisions. From customer analytics and supply chain optimization to automated reporting and AI-driven forecasting, everything starts with the ability to store, retrieve, clean, and analyze data.

That’s where SQL and Python come in.

• SQL is the backbone of relational databases, powering data retrieval in systems used by Fortune 500 companies, startups, and modern apps alike.
• Python is the world’s most flexible programming language — perfect for automation, analytics, machine learning, visualization, and backend data processing.

Combined, they form the strongest toolset for data analysts, developers, BI engineers, and data scientists.

This book provides a 7-in-1 crash course, taking you from complete beginner to advanced practitioner in both domains — with clear explanations, practical exercises, and real-world projects.

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📚 What’s Inside the 7-in-1 Guide

1️⃣ SQL Foundations

• Understanding relational databases
• Writing SELECT queries
• Filtering, sorting, grouping, and aggregating data
• Joins: INNER, LEFT, RIGHT, FULL
• Keys, constraints, indexes

2️⃣ Advanced SQL

• Subqueries, CTEs, and window functions
• Stored procedures and triggers
• Transaction management
• Performance tuning and query optimization

3️⃣ Python Programming Basics

• Variables, data types, loops, and conditionals
• Functions, modules, and error handling
• File operations and data processing
• Working with JSON, CSV, and APIs

4️⃣ Python for Data Manipulation

• Using Pandas for DataFrames
• Data cleaning, transformation, and merging
• Handling missing values
• Exploratory data analysis (EDA)

5️⃣ Python for Data Visualization

• Matplotlib, Seaborn, and Plotly
• Building dashboards and charts
• Turning raw data into business insights

6️⃣ Connecting Python with SQL

• Using SQLite, MySQL, PostgreSQL connectors
• Fetching SQL data into Python for analysis
• Automating report generation
• Real-world ETL workflows (Extract → Transform → Load)

7️⃣ Machine Learning and Automation

• Intro to Scikit-Learn
• Building simple predictive models
• Automating data tasks using Python scripts
• Integrating SQL pipelines with ML analysis

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👨‍💻 Who This Book Is For

This 2025 edition is designed for:

✔️ Beginners who want a friendly, structured path
✔️ Students entering data or software careers
✔️ Business analysts who need SQL + Python for reporting
✔️ Developers building backend or automation tools
✔️ Data scientists wanting strong database foundations
✔️ Managers & professionals upgrading tech skills for modern workplaces

💡 No technical background required — the book starts from zero and advances gradually with clear examples.

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💡 Why This Book Stands Out

• 🧩 7 essential skills in one compact volume
• 🎯 Beginner-friendly explanations with visual examples
• ⚙️ Hands-on exercises and real database queries
• 🧠 Covers both theory and practical application
• 🌐 Updated for 2025 tools and workflows
• 📈 Industry-focused learning: analytics, automation, ML, and databases

This is not just a programming manual — it’s a career-building resource for anyone working with data.

Unlock the full potential of SQL databases and Python automation — and accelerate your journey into the world of data.

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📌 “Data doesn’t create value — your ability to manage and analyze it does.”

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