Python Programming and SQL: 5 books in 1 - The #1 Coding Course from Beginner to Advanced. Learn it Well & Fast (Computer Programming)

I confess that I knew absolutely nothing about Python Programming or SQL when I first got my hands on this book. However, I did possess some knowledge of databases and their systems, having previously taken the CompTIA Security+ exam a few years ago. Being familiar with databases is only a small part of keeping networks and systems secure. An interest in programming and SQL has grown among my children, and my ex-husband even has a passing familiarity with the language. I figured I might as well pick up some knowledge as well. Whoever finds SQL to be an arduous subject to master will find this book refreshing. This book breaks down complex ideas into smaller, more manageable chunks making the material easier to absorb. Databases are defined and introduced along with their purposes, functions, and types. Fundamentals of programming are explored. And the author goes into greater depth on how to practically apply the knowledge essential for database management, data mining, and other related topics. The beauty is that it is five books in one, so the work is extremely comprehensive. Although it might take some time to read it cover to cover, this book will give you a solid grounding. If you are just starting and consider SQL or Python Programming to be pertinent to a professional path, I highly recommend this resource. If you are just looking to get your feet wet learning something new, it is a great place to start and deserves your full attention. As for me, I thought it was illuminating.

Python and SQL are two programming languages that are in high demand at the moment. However, going to a coding academy isn’t cheap, and with a guide like this, it‘s no longer necessary. With this handy tool, you can learn how to get started with Python and SQL. If you already know the basics, you can also learn from the more advanced lessons contained herein. The step-by-step instructions are written in plain and simple language. Not only will you learn how to code using these languages, but there are also tips for where you might go to get a job once you’ve mastered them. Coding is something that so many employers look for, and you can impress them once you have Python and SQL on your resume. This informative guide is just what you need to get you started on the right path.

If you’re looking to learn how to build machine learning workflows using AWS, this book is a fantastic choice. It covers a wide range of AWS services like SageMaker, Lambda, and Step Functions, showing how to use them together to create powerful data science pipelines. The explanations are clear and easy to understand, even for topics that can be quite technical. What stands out most is how the book is organized. It starts with the basics and gradually moves to advanced topics, making it great for readers at all levels. The authors include step-by-step examples and practical projects, which make it easy to follow along and apply what you learn to real-world tasks. Another highlight is the focus on scalability and automation. These are essential when putting machine learning models into production, and the book goes beyond just teaching the tools—it also explains best practices for optimizing workflows, tracking performance, and keeping your models reliable. The cover design is worth mentioning too—clean and professional, it reflects the organized and thoughtful content inside the book. Whether you’re new to AWS or experienced in data science, this book has something for everyone. Highly recommended!

This comprehensive five-book bundle serves as a valuable resource for mastering Python programming and SQL database management. Covering basics to advanced concepts through five books, it offers a gradual learning path. It starts by explaining the fundamentals of databases and their importance in storing and accessing diverse data. The book then dives into the core elements of SQL, guiding readers through creating relational databases and using SQL to manipulate data within them. I loved how engaging the writing style was, making complex topics accessible. With clear explanations, examples, and exercises, it effectively reinforces practical applications in data analysis, machine learning, and real-world scenarios, demystifying SQL and empowering readers to become proficient database managers. While touching on related topics like Python, I liked that the primary focus remained on making SQL accessible to those new to the field. This is without a doubt, a valuable resource that I highly recommend for anyone looking to develop essential SQL skills for data analysis or application development.

In the book Python Programming and SQL, specialist Mark Reed teaches us the use of SQL (Structured Query Language) to manage databases that are increasingly important not only for companies but also for governments . Although there are several query languages that differ in data based on function, what characterizes SQL is that it presents data in columns and rows similar to Excel. During the development of the first part of the work, the author explains each part of the SQL step by step, for example in the case of understanding how the query flow is generated, starting from a simple example of a Product Table. Finally, the use of Python is explained, which is a programming language that provides an advanced platform for programming. Reed makes it easy to understand step by step, allowing both a layman and a specialist to easily learn and implement SQL and Python. Work intended for those who want to engage in data management using programming languages.

This comprehensive five-book bundle is a valuable resource for mastering Python programming and SQL database management. It covers basics to advanced concepts, offering a gradual learning path from database fundamentals to advanced SQL techniques. The engaging writing style makes complex topics accessible, with clear explanations, examples, and exercises reinforcing practical applications in data analysis and machine learning. The focus on SQL, complemented by related Python content, empowers readers to become proficient database managers. Ideal for beginners and experienced programmers, this guidebook covers Python and SQL essentials, with hands-on projects and exercises to apply knowledge in real-world scenarios. It’s an excellent resource for building a strong coding portfolio and gaining a competitive edge in tech careers. This book is highly recommended for anyone looking to improve their coding skills and understand SQL and databases.

I have experience with SQL but have been wanting to learn Python since I started coding. This book is a very big help to learn each one individually and then applying them together. The only thing I want to clear up is that it is true that the practice database isn't clearly stated. The one used in the book is the ADVENTUREWORKS SQL database. If you Google SQL ADVENTUREWORKS DATABASE. You will find instructions on how to install MSSQL and the adventure works database files. With that issue resolved this book is a 100% review.

I purchased this book as an intermediate SQL user and a beginner Python user. I'm am extremely lucky to have known most of the information ahead of time, otherwise this book would be completely useless. With no discernible logic as to chapter order, all of the information is given to you as a vomiting of information with important information left completely unaddressed or criminally under-explained. Chapter 2 in the first book uses examples that utilize keywords and methods not discussed until near the end or not at all. No explanation is given for the unnecessarily complicated examples, further confusing a beginner. The chapters in all books don't follow any progression, and worse, each book repeats itself or provides the information in a slightly different, usually just as confusing, way. Even worse, there are no practical exercises in the first book. You either have to have access to an existing database and change the data to match (for a beginner, this will probably be impossible since the data won't match). The second book provides exercises but they are all but useless. There's no prompting to attempt things on your own, instead the book just gives you the query to run, creating or querying the tables with zero effort on the readers part. If you don't put forth your own effort to create your own practical exercises, you'll gain nothing. The book is also riddled with errors. Glaring formatting, typing, and data errors exist on every 2 or 3 pages. The typos aren't a big deal, but the formatting is jarring. It's like they didn't care that a single line from a table carried over to the next page or that images are completely unreadable. The sections within the chapters are like spurts of vague information on functions that aren't given proper use cases. The data errors are the worst. The book will reference columns in a table that it didn't prompt you to create. There will be extra apostrophes in queries that would cause errors when executed. There's a new problem every few pages. I can't express how much I dislike this book and its contents. Was there an editor? How is this considered competent or useful? If I had been a complete beginner, I would have quit after a few chapters. The lack of practical/useful exercises, the glaring errors, the jarring structure of the book itself would have been plenty for me to think SQL/Python wasn't for me. I suggest ALL beginners to look elsewhere. This book may be useful for those with some experience but it's more likely to provide just an incompetent version of what you already know. Severely disappointed.

This book seems good, however it doesn't explain how to install python or sql, for an absolute beginner that is important, of course there are tutorials on YouTube, but it could be better to find out everything needed in the book

This was a wicked networking read For SQL/Py. Ill be referrencing it often in the future, and on the lookout for more books by Mark.

"Python Programming and SQL: 5 Books in 1" is an expansive collection that offers a comprehensive exploration of both Python programming and SQL database management. This multi-book set is a valuable resource for anyone looking to learn or expand their skills in these fundamental areas of computer science. The standout feature of this collection is its breadth and depth of coverage. By combining five books into one, the set takes learners from the very basics of Python programming, introducing concepts like variables and loops, to more advanced topics such as data analysis, machine learning, and SQL database management. This progression allows both beginners and intermediate learners to find content that suits their needs. The books are well-structured, with clear explanations and numerous examples. Each book in the collection is logically organized, providing readers with a gradual and systematic approach to learning. The inclusion of exercises and practical examples helps reinforce the material, making it easier to grasp and retain. One of the strengths of this collection is its real-world applications. It not only covers the theoretical aspects of Python and SQL but also demonstrates how these skills are used in practical scenarios. This practicality is vital for learners who want to apply their knowledge in the workplace or in personal projects. The inclusion of SQL database management is a valuable addition. SQL is a critical skill for anyone working with data, and the book's clear explanations and hands-on exercises make it accessible even to those new to the topic. The writing style is engaging and reader-friendly, making it suitable for self-study. The books avoid overly technical jargon and offer explanations in plain language, making complex concepts easier to understand.

For a book where PYTHON if front and center on the cover, only 40% of the material is about Python (I measured it) and the book lacks coherence and organization, I've noted several mistakes or inaccuracies in the first couple chapters alone. I suspect this is more LLM written slop rather than actual helpful learning material.

This could of been a 5 star review, but only a 3 because it came damaged. An for a brand new hard cover, that's very bad. That's why it dropped 2 stars. As for why it could be 4 star's is because the paper inside feels like it wouldn't rip as easily... which is good thing, because it means it could last a very long time... without damaging the book. 3 stars though, because of the first reason I said the start.🙄😡😒