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Product details
File Size: 59035 KB
Print Length: 624 pages
Simultaneous Device Usage: Unlimited
Publisher: O'Reilly Media; 2 edition (November 21, 2016)
Publication Date: November 21, 2016
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B01N0GU0OC
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Amazon Best Sellers Rank:
#90,967 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
I'm learning Python for my job. My specific application is focused on data science and rote task automation.Before getting this book, I had picked up a copy of "Automate the Boring Stuff With Python" and "Python for Data Analysis". Both books do a solid job of introducing you to the areas of interest, but neither do a very good job of teaching a novice like myself how to start programming in Python (in my humble opinion). In those two books, I would struggle to get through the end-of-chapter test programs, because they required a lot of information that either wasn't addressed, or wasn't discussed until later in the book.That's where this book comes in. The explanations are intuitive, easy to follow, and the topics are covered in a way that facilitates (successful) user experimentation. Right now, I'm using all three books in tandem and things are starting to click and my code is starting to work with a lot less Googling and a little more tinkering on my part. Head First Python is a pretty quick read because of all of the graphics and generous spacing. Although I tend to prefer a sense of order, the cartoonish-looking page layouts really do aid the learning process. I believe that there is a psychological effect experienced by some people, wherein turning a page imparts a sense of progress. You will certainly turn a lot of pages quickly when reading this book, because of the layouts. This may give some people the fuel to keep going for longer stretches than they would if they were reading 50-page chapters of dense, verbose material.At the end of the day, I highly recommend this book, especially if you want to supplement it with something that pushes you a little more toward a specific application of Python. In my spare time over the last three weeks, I've cleared about 200 pages of each of the 3 books and I've written around 20 or 30 little programs (on top of dozens of hours in the iPython shell). By the end of week 4, I expect to start producing code for some of my medium-scope projects, and I'll continue to build on it as I learn.
Excellent Well Planned Instruction in Python 3. Advanced Data Structures Lists, Dictionaries, Sets, Tuples Before Control and Object-Oriented Programming. Definite Improvement over Distractions Like Android SDK in 1st Edition.Gives a Solid Foundation for Study of Algorithms and Libraries in Advanced Python.
When faced with a bunch of different Python books, this one looked like the most engaging. I opted for the Kindle edition, as I assumed that the search function would be essential.To be sure, HFP gets you right into coding. Before you know it, you're writing programs. I also revisited some SQL statements and learned some Mac Terminal commands along the way. I found Homebrew and MariaDB far easier to navigate than MySQL.I was able to follow along and endure the inevitable bumps. (One minor pet peeve: Kindle search didn't pick up code because the publisher chose to store these snipets as pictures. This made searching more difficult.)My mind is like oatmeal because a newbie programmer cannot learn a robust general-purpose language such as Python in ten days. Still, I enjoyed the book and know 100x as much about Python as I did two weeks ago.
Excellent introduction to Python. The book focuses on being fun to read and providing a real understanding of why things work the way they do. The other two intro to Python books I have are not fun to read and concentrate more on trying to teach the reader as many functions as possible but at the cost of being a bit dry.The author spends several chapters explaining how Python can be used to create a web app that stores and manipulates user entered data in text and SQL databases. This is also a topic I was very interested in but assumed I would need another book for it.I invested about 30 hours over 2 weeks going through this book and I feel that I now truly understand the foundation of how Python works. This book is definitely not a reference book but that's what Google is for.
Packed with tons of useful information for learning Python. I do suggest that you use as many sources as possible (books, free sites on the internet) to take advantage of various styles and challenges. It has been a long time since I looked forward to learning something technical, and this book is filling the void.
I have read a number of Python books and watched videos but this book really digs down and explains a lot of what goes on under the hood. Excellent explanations, often repeated in different ways so that it is hammered home. Can't recommend any other book as much as this one. A must have!!!!!!!!!!!!
The book is written in a good conversational tone but as a novice some of the steps in the "homework" portions feels like something is missing. Like you're being taught how to do something by someone who already understands the logic so the "in between" steps that lead you to the answer aren't necessarily spelled out. As a learner this just didn't work for me.
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