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Essential SQLAlchemy: Mapping Python to Databases
Free Ebook Essential SQLAlchemy: Mapping Python to Databases
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About the Author
Jason works at Cisco as a Software Engineer working on OpenStack. Prior to switching to development a few years ago, he spent several years as a systems architect and building data centers and cloud architectures for several of the largest tech companies, hospitals, stadiums, and telecomm providers. He's a passionate developer who regularly speaks at local and national events about technology. He's also the chair of the PyTennessee conference. He loves solving human problems, and has a side project, Sucratrend, devoted to helping diabetics manage their condition and improving their quality of life. He has used SQLAlchemy in web, data warehouse and analytics applications.Rick Copeland is the co-founder and CEO of Synapp.io, an Atlanta-based company which provides a SaaS solution for the email compliance and deliverability space. He is also an experienced Python developer with a focus on both relational and NoSQL databases, and has been honored as a MongoDB Master by MongoDB Inc. for his contributions to the community. He is a frequent speaker at various user groups and conferences, and an active member of the Atlanta startup community.
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Product details
Paperback: 208 pages
Publisher: O'Reilly Media; 2 edition (December 7, 2015)
Language: English
ISBN-10: 149191646X
ISBN-13: 978-1491916469
Product Dimensions:
7 x 0.4 x 9.2 inches
Shipping Weight: 12.6 ounces (View shipping rates and policies)
Average Customer Review:
3.6 out of 5 stars
12 customer reviews
Amazon Best Sellers Rank:
#451,187 in Books (See Top 100 in Books)
[Edit]I'm adjusting my rating. The farther I've gotten into trying to work with SQLAlchemy, the more I'm finding how much this guide comes up short.This book takes an example of a business that bakes cookies and sells them on a website. It walks you through setting up a database with tables for cookie SKUs, recipes, customers, and orders. Every example is based on that basic plot. Examples are thorough, but highly specific, and explanations are brief or non-existent. This guide will get you started with SQLAlchemy, but it does a terrible job explaining a lot of the core concepts.There needs to be a good guide on SQLAlchemy written in plain English, but unfortunately this one isn't it. It's only slightly better than the official documentation. The SQLAlchemy docs are written in such a convoluted way they're almost impossible to make sense of. For example, a paragraph explaining how relationships work is 4 or 5 lines long with only two sentences. This guide is only slightly better, but to really understand how SQLAlchemy works, you'll have to do a lot of web searching and crawling through docs and guides elsewhere.[end edit]I needed to set up a database back-end for a work project in Python, and I decided SQLAlchemy was the way to go. There are a lot of guides on the internet but they all have a lot of gaps. This book walks you through step by step in setting up a database and doing CRUD operations on it.Almost all of the examples are for sqlite, and while most of the concepts are the same, I got stuck trying to convert to MySQL. This book barely glosses over MySQL and doesn't provide enough to get it working right. I had to go to other sources for that.It also doesn't do a very good job covering how to get your query output in JSON-able format. By default, SQLAlchemy queries will return an object as one of the fields, which fails when trying to output to JSON (for an API). I figured out how to filter the results but unfortunately this book didn't help.Another issue was adding columns. This book covers Alembic, which is a migration tool, but it barely touches on how to do something simple like adding a column. After converting to MySQL I ended up just doing it from the mysql command line, then updating my schemas.It also glosses over joins and relationships, mapping fields between tables. It doesn't cover almost any modules in-depth, it just mentions them in passing. Like "Notice how we're using backref here." without really explaining what backref does.It also starts with SQLAlchemy Core, which does let you do CRUD operations, but if you're trying to run your database through a web front-end or an API, SQLAlchemy Core falls flat on its face. I spent several hours learning how to use "Core" before discovering this. It would be nice if the book covered the pro's and cons of Core vs. ORM from the start so you'd be able to make better use of your time.It's all good, I got the project done, built a Python module to interface with SQLAlchemy, put an API in front of it through Flask, and now I can do CRUD operations through an API or a web front-end, and it's easier than writing to a CSV file. I could have done it without this book but it would have taken me a lot longer, and I wouldn't have learned as much.If you need to use SQL for a Python project, you need this book. It's not perfect, but it gets the job done, and after going through the examples, so will you.
This book got me up to speed on SQLAlchemy quickly. As a long time .NET programmer getting into Python, I needed a quick intro on how to do database work with Python. This book contains no fluff and is all business.
Book gives just enough information to be frustrated. There is also little information on how to use with could based sql databases, which seems like a large gap.
Update:I don't care about being rude, this book is absolute garbage. Changing from 2-star to 1-star.The more I have tried to do with SQLAlchemy, the more the source docs have helped, and the more this book has decreased in value. It's mostly useless if you're doing a basic SQL Lite database. It's entirely useless if you're using a real database like SQL Server.Save your money, ignore the "reviews" from the authors' family members, and read the source docs.One day I will write a book on this topic that is actually useful, because I am astonished that such a rich topic has such terrible coverage.I don't want to be rude, but I'm going to risk coming off as such here.I am learning to program to supplement my job capabilities as a budding business analyst. DataCamp and O'Reilly books are my primary learning tools (in addition to practice and practice projects, of course). I love the O'Reilly books on Python, especially Wes Mckinney's Pandas book. Out of several books I've been consuming and learning from, this SQL Alchemy book is the smallest (~180 pages) and the least useful. This is especially disappointing because it's priced a little bit higher than what I've paid for 400-600 page books in this area of study.I am trying to use SQLAlchemy to manipulate a SQLExpress database at work (obviously using a copy of the database to learn on). Unfortunately, for the beginner such as myself, there seem to be several extra steps and considerations that need to be taken for something like SQLExpress. The author's examples use SQLite, which I personally choose to believe was due to laziness rather than to help the reader. Because of this, I'm having issues just connecting to the database (which is "covered" in the introduction). I did finally manage to get it done, but you would think that at 182 pages, the author/publisher wouldn't have had to break the bank to better cover some of the introductory (read: essential) parts of the SQLAlchemy process.Have I mentioned the price? Because the list price is 40 for this book, and at the time of this review, it's not selling for much less than that. Like I said, I've gotten bigger, infinitely more useful and more readable books, including books from but not limited to this publisher for more reasonable sums of money.Lastly, there is the bit that may seem personal but I assure you, it is objective and important.As I mentioned, DataCamp has been a valuable resource for me as I learn programming. I'm progressing through their Python Data Analysis Career track, which has classes taught by different programmers. While this is not a DataCamp review, I have to say I love Hugo Bowne-Anderson's courses. He's hairy, deep-voiced, and knows how to effectively communicate his solid knowledge of Python. If he had a dedicated podcast, I would not only listen to it during the day, but I would also play the episodes at night as a form of white-noise.Jason Myers (one of the authors of this book) is also an instructor on DataCamp. No surprise, he teaches about SQLAlchemy. There might be parts of him that trigger a biological reaction in me that makes me associate him with people who have wronged me in the past, and that could color why I do not care for his instruction. Or it could be that he just isn't one of those people who is good at communicating. It's probably both, and I get it. I'm told that I'm not really an intellectual communicator either. I'm also not teaching classes or writing anything more involved than this review. I'm sure that he knows what he's doing, he just doesn't say it well.TLDR: Overpriced book, barely 180 pages (including intro and appendix), very light on what seems like important information, author not really good at communicating. Giving the book two stars because it can still serve as a roadmap for your study.Honestly though, I'll be looking for a better SQLAlchemy book, and again, I'm having a hard time logically reconciling the cost relative to what I'm actually getting. If it was 180 pages that got me start-to-finish with the topic, I'd be fine with the price. But I feel like this should have been a 10 or 15 dollar book.
Not super in depth, but a more accessible intro than the official documentation which is very dense. I would recommend it to anyone who has never worked with SQLAlchemy before and needs a flu by overview. The docs are a fine resource once you are comfortable.
I had to learn Python and SQL Alchemy in a hurry. This book was just what I needed to get SQL Alchemy going. The section that describes the differences between Core and ORM is worth the price alone.
This is a comprehensive look at moving data from Python applications into SQL databases using SQLAlchemy. Jason Myers is writing about his own work and yet manages to keep his instruction down to earth.
This book is a great starting point for SQLAlchemy users. This will get you off the ground and running.
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