Thursday, January 14, 2010

PDF Ebook , by Eric Matthes

PDF Ebook , by Eric Matthes

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, by Eric Matthes

, by Eric Matthes


, by Eric Matthes


PDF Ebook , by Eric Matthes

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, by Eric Matthes

Product details

File Size: 15859 KB

Print Length: 562 pages

Publisher: No Starch Press; 1 edition (November 1, 2015)

Publication Date: November 1, 2015

Sold by: Amazon Digital Services LLC

Language: English

ASIN: B018UXJ9RI

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Amazon Best Sellers Rank:

#13,897 Paid in Kindle Store (See Top 100 Paid in Kindle Store)

Ok why i love it, most python learning books goes through the syntax and various features of the language. Yeah, that's nice, here's a function call and it returns this. Ok so i got that. But how do i actually write something useful, how does it all go together. Well this book starts out with teaching you how to use/install python, then the syntax of the language. The whole later half is all sorts of projects, some graphical, some data manipulating, so it touches on various aspects of the language but in small enough packages/projects to keep it interesting. Recommended for anyone wanting to learn some great techniques to snazzy up their python programs and actually use the language to create programs. For the syntax, get one of those oreilly or other large python books.

This book is a life-saver! I'm taking programming courses to complete a teaching authorization in computer science and this book is 10x better than the required text. Each programming concept is explained well and followed by a chunk of code that has a line-by-line narrative explanation of what the code does. At the end of each section, there are "Try It Yourself" mini-projects to apply your learning. They can take anywhere from 5-45 minutes to complete but they are perfect for checking your own understanding of each concept. If/when I teach an Intro to Python course, this will be MY required text!

As a Data Scientist well versed in R, I'd been putting off learning to Python for quite some time. I purchased a course on Udemy which was good but encourage use of iPython notebook - a great program, but it doesn't scale well and takes too long.The Geany program the author recommends has a functional but ugly UI, so I elected to use Pycharm as an IDE.The thing that I love most about this book is the way the author's just jumps into the meat and potatoes without sacrificing any substance. I was able to follow the exercises and do them based solely on what I had learned as well. This is a major point since many books make learning not fun and dry. Furthermore, as an avid gamer I fully appreciated the connection between the tools and a logical purpose of them. I've got the big fat Python book with the animal on it and was discouraged by its size. I purchased this book with a book on Machine Learning in Python as well.

Over the course of the last 7 or 8 months I've completed Learn Python the Hard Way, a Coursera Course, maybe another short online course, and this book. I gotta say, this book is my favorite of them all. I feel like it's hard for some authors to understand what a beginner is thinking because what's obvious for a pro is sometimes not so obvious to a beginner. With that being said, the author is great at understanding his audience. Everything is written is straight English. There were many times in Python the Hard Way that i found myself saying, "But....how did you get this?" or "Did i miss some section where this was talked about?" but not with this book. Like i said, I started this book AFTER going through all those other materials so I'm not sure how it would fair with someone who is starting at absolute zero, but my honest opinion is that if i had started here and moved on i would have perhaps been a bit further at this point.To sum up, it's a great buy and well worthy of your time if you're trying to get some basic Python knowledge. Extra kudos for writing examples in both Python 2.7 and 3.

After a quick preliminary glance at the different results upon searching 'Python" on amazon and selecting this book, out of other equally high-rated books, as an introduction to Python, I got to say I'm extremely satisfied with my purchase.I'm a complete, absolute, know-nothing, beginner on programming. I should note I barely finished Chapter 2 (Variables and Simple Data), but it is a good 60 pages in, and I absolutely love the presentation of the concepts. Additionally, the author provides you with checkpoints titled "Try it Yourself" and instead of overwhelming you with a list of problems so long that you fear missing out on important reinforcement, there are anywhere from 1-5 problems to reinforce a concept.If you're an absolute beginner to programming like myself, I absolutely recommend the book!

I believe the best way to learn is to get hands on and try things for yourself. In colleges and even coding boot camps, they give you a boat load of information but don't break it down and tell you what you can do with it.Python Crash Course breaks everything down to the basics, chapter by chapter. It is a FANTASTIC book for DEVOTED beginners. You need to pay attention and don't give up on the first half of the book (the learning portion), because the second half of the book (the projects portion) is the most fun / most important.Programming, no joke, is hard. But if you're a beginner like me and want something with no frills and gets right to the explanation of what print and variables and functions and classes and dictionaries are, this book is your best friend.Happy coding!

Been writing code since I was a kid and have read many programming books in my life. This book is solid. It covers all the core topics you would want to know about python in the first 10 chapters and does so in a concise, thoughtful manner. I rarely review books even though I read a lot of them because most are not that great. This book would be great for anyone wanting to learn python or anyone wanting to learn programming in general.

Excellent book. Gets you coding right away - the endorphin rush when you get things to work keeps you going. The projects are substantial and satisfying and the author is able to introduce tools like Django, Git, Heroku etc to build some pretty cool stuff. Check out Eric's Github repo for content updates and corrections (first double-check to see if you have entered the code correctly). Best of all, Eric was incredibly helpful when I reached out to him by e-mail about some Django installation issues - super cool of him to do so. Highly recommend.

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