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Dr. Vlad Sebastian Ionescu

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The MySQL Workshop

The MySQL Workshop is your comprehensive, hands-on guide to learning and mastering MySQL database management. This book covers everything from setting up a database to working with SQL queries, managing data, and securing your databases. With practical exercises and real-world scenarios, you'll quickly gain the confidence and skills to handle MySQL databases effectively. What this Book will help me do Understand and implement the core concepts of relational databases. Write, execute, and optimize SQL queries for data management. Connect MySQL databases to applications like MS Access and Excel. Secure databases by managing user roles and permissions effectively. Perform database backups and restores to maintain data integrity. Author(s) Thomas Pettit and Scott Cosentino are experienced professionals in database management and MySQL technologies. With years of industry experience, they bring a wealth of knowledge to their writing. They focus on breaking down complex topics into digestible lessons, ensuring practical learning outcomes. Who is it for? This book is ideal for tech professionals and students looking to learn MySQL. Beginners will find a gentle introduction, while those with some SQL background will deepen their understanding and cover gaps in knowledge. It suits professionals dealing with data who want actionable MySQL skills for work and projects.

The Data Wrangling Workshop - Second Edition

The Data Wrangling Workshop is your beginner's guide to the essential techniques and practices of data manipulation using Python. Throughout the book, you will progressively build your skills, learning key concepts such as extracting, cleaning, and transforming data into actionable insights. By the end, you'll be confident in handling various data wrangling tasks efficiently. What this Book will help me do Understand and apply the fundamentals of data wrangling using Python. Combine and aggregate data from diverse sources like web data, SQL databases, and spreadsheets. Use descriptive statistics and plotting to examine dataset properties. Handle missing or incorrect data effectively to maintain data quality. Gain hands-on experience with Python's powerful data science libraries like Pandas, NumPy, and Matplotlib. Author(s) Brian Lipp, None Roychowdhury, and Dr. Tirthajyoti Sarkar are experienced educators and professionals in the fields of data science and engineering. Their collective expertise spans years of teaching and working with data technologies. They aim to make data wrangling accessible and comprehensible, focusing on practical examples to equip learners with real-world skills. Who is it for? The Data Wrangling Workshop is ideal for developers, data analysts, and business analysts aiming to become data scientists or analytics experts. If you're just getting started with Python, you will find this book guiding you step-by-step. A basic understanding of Python programming, as well as relational databases and SQL, is recommended for smooth learning.