| Python : A Comprehensive Beginners Guide - From A To Z Simple Steps|
by Darryl Barton
$0.00, 136 pages, 3.5 out of 5.0 (2 reviews), #3 in Kindle Store > Kindle eBooks > Computers & Technology > Operating Systems > Unix
Python - A Comprehensive Beginner's Guide!
If you are new to programming with Python and are looking for a solid introduction, this is the book for you. Developed by computer science instructors, books in the "for the absolute beginner" series teach the principles of programming through simple game creation. You will acquire the skills that you need for practical Python programming applications and will learn how these skills can be put to use in real-world scenarios. Throughout the chapters, you will find code samples that illustrate concepts presented. At the end of each chapter, you will find a complete game that demonstrates the key ideas in the chapter, a summary of the chapter, and a set of challenges that tests your newfound knowledge. By the time you finish this book, you’ll be well versed in Python and be able to apply the basic programming principles you’ve learned to the next programming language you tackle.
Here Is A Preview Of What Inside The Book:
| Machine Learning with Python: Comprehensive Beginner’s Guide to Machine Learning in Python with Exercises and Case Studies|
by Paige Jacobs
$0.00, 135 pages, 0.0 out of 5.0 (0 reviews), #3 in Kindle Store > Kindle eBooks > Computers & Technology > Programming > Languages & Tools > Python
There are different processes that are included within the meaning of the term “learning.” If you refer to a dictionary and look up the meaning of learning, then you will come across different phrases like “to gain knowledge, understanding of or skill, through study, experience or instruction,” and “the change in behavioral tendencies through experience.”
If you look at it superficially, in respect to machines, it is safe to say that any change in the structure of the machine, the data stored in the memory or its data composition, in order to improve the efficiency and the effectiveness of the machine’s performance is an undeniable sign of learning in a machine. When you start to delve deeper into this subject, only a couple of these changes can be categorized as machine learning.
In this book, you will learn about machine learning using Python. The information given in each of the chapters will improve your understanding of machine learning programming using Python. The sample codes along with the case studies will enable you to test your knowledge.
So get started with your knowledge of Machine Learning with Python with this book!
| Deep Learning for Beginners with TensorFlow: The basics|
by Mark Smart
$0.00, 49 pages, 0.0 out of 5.0 (0 reviews), #6 in Kindle Store > Kindle eBooks > Computers & Technology > Programming > Languages & Tools > Python
This book is an exploration of deep learning in Python using TensorFlow. The author guides you on how to create machine learning models using TensorFlow. You will know the initial steps of getting started with TensorFlow in Python. This involves installing TensorFlow and writing your first code. TensorFlow works using the concept of graphs. The author helps you know how expressions are represented into graphs in TensorFlow. Deep learning in Python with TensorFlow simply involves the creation of neural network models. The author helps you understand how to create neural network models with TensorFlow. You are guided on how to train such models with data of various types. Examples of such data include images and text. The process of loading your own data into TensorFlow for training neural network models has also been discussed. You will also know how to use the inbuilt data for training your neural network models.
You will learn from this book:
Subjects include: tensorflow python, deep learning with python, tensorflow machine learning, tensor flow, tensorflow deep learning cookbook, tensorflow for deep learning, tensorflow for dummies, tensorflow books, machine learning with tensorflow, tensorflow c++, concept of graphs, neural network, neural networks python, tensorflow with neural network.
| Python: The Ultimate Beginners Guide: Start Coding Today|
by Eric Smith
$0.00, 134 pages, 2.4 out of 5.0 (28 reviews), #1 in Kindle Store > Kindle eBooks > Children's eBooks > Computers & Technology > Programming
Python: The Ultimate Beginners Guide - Start Coding Today
It is easy to see that language has fantastic facilities for general use. The question is: why Python is the ideal language for scientific applications? The answers are many, and some might be summarized in this guide. Briefly, the first reason, and probably the main one, is: Python is an expressive language that is easy to translate the reasoning in an algorithm. In scientific applications, the argument is intrinsically complicated - this is the nature of science. It is an additional problem for the scientist has to worry about, beyond the basics of his research subject, the program correction in some relevant details: memory allocation, resource management, etc. Python automatically does it all very efficiently.
Python is extremely readable. It means it is very easy to understand programs written for some time. It is very common that programs in scientific activities are created from the evolution of previous algorithms. It is, therefore, critical to be able to understand what was done before. Once the keywords of Python are geared to the structure of programs (and not to tell the computer how to compile or interpret code snippets), no code snippets that are useless for reasoning.
Python has an active and vibrant community, spread all over the world. And being a free language, all its members are willing to contribute. It makes the documentation is abundant, and there are modules to perform virtually any task required. It is important: there is no time to reinvent the wheel, so when you can rely on active modules is great. But more than that, since Python programs are distributed as source code, anyone can change, correct and improve the algorithms. It makes the modules are mature and safe tested against various situations and many times. The achieved strength is a major factor.
Python is, moreover, a general purpose language. It is often necessary to deal with side tasks: search for data in a remote database, read a website graphically display the results, create a spreadsheet, etc. Specifically, scientific nature languages have a serious problem there, but since Python is used in virtually every type of task modules are ready to perform these tasks can become complicated. Again, it's one less worry for those who are developing scientific applications.
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I started making these lists for my own use in 2013 when an Amazon policy change gutted all of the web sites that listed free Kindle books. Before the policy change, those sites would get some amount of compensation for directing people to the Amazon web site. After the policy change, they lost all compensation for the month if most of their referrals that month were for free books. So most of those web sites stopped listing the free books.
I use the description "newly free" for these book lists. That means I won't list a book again if I've listed it recently. There are so many books that are permanently free, or frequently free, that it makes it difficult to find "newly free" books manually looking through the Amazon search results. There are just too many repeats every day. But I have included the links to those Amazon searches on the category headers, so you can always click the link to see the full list if you'd like. My process just extracts the "newly free" books from those search results, by keeping a record of books I've listed in the past.
The lists are designed for easy navigation through the books. Clicking on the blurb of any given book will bring the next book in the list up to the top of the screen. This makes it easy to quickly go through them one-by-one. Each category header has an index of the various categories available, and also shows the number of books available in each category. Clicking on the category header itself will bring up the full Amazon search listing of free books for that category.
If you're in Canada, Germany, or the UK, clicking on the "CA" or "DE" or "UK" link in the top right hand corner of the document will change all of the book links from USA to Canada or Germany or the UK. But they may not be free there as they are in the USA. Usually, but not always.
If an author classifies their book as belonging to multiple genres (e.g. fantasy, horror), it will only be listed in the first genre that I process. I process the sub-categories of a major category first, so that the book will be listed in the more specific category.
The rating and # of reviews will be highlighted green to flag ratings above 4.5 stars with more than 50 reviews.
Horizontal bars above the blurbs may be red. You can ignore that. They're just reminders to me that I have already purchased that book.
Three ways to search for free (or Prime) books on Amazon:
Currently, there are about 90,000 free Kindle books, a thousand "Prime Reading" books, and over 1.6 million "Prime Eligible" books. With only a few exceptions, "Kindle Unlimited" means "Prime Eligible". "Prime Reading" offers unlimited loans per month, while "Prime Eligible" is just one loan per month.
From the initial search results, you can drill down into categories and use any of the left navigation bar filters.
Those same searches with a keyword:
Click on the "search" part of the "results for" line and you can change the search term to whatever you desire. Then you can continue as before and use the normal drill-down and/or filter choices.
There are two Reddit groups that regularly have free Kindle books listed:Kindle Freebies
The eReaderIQ web site is a price tracking service for Kindle books. It allows you to set up watch lists for books and authors, and then they will send you an email alert when a book reaches a certain price, or an author has a book with a price reduction.
The BookBub web site will send you email alerts with handpicked recommendations on books, for your selected genres. Some are free, others just have price reductions.
Galaxy Science Fiction was an American digest-size science fiction magazine, published from 1950 to 1980, and they are now offered free online:https://archive.org/details/galaxymagazine?sort=-date
They can be downloaded as mobi files for the Kindle as well as being read online. Used to be one of my favorite SF magazines. I almost always had one with me when I was in high school.
If you're more interested in mainstream books, check to see what options you have from your local library. Many use the Overdrive or Libby sites to loan out Kindle books. If that's not available to you, or your local library has a limited collection, the "Free Library of Philadelphia" has an extensive Overdrive collection, and an out-of-state library card is only $50 per year. Less than half the price of KU.
Project Gutenberg, founded in 1971, is an Internet archive of free public domain books, created via a volunteer effort that digitizes and archives such books. You can download the Kindle format of a book and then transfer the book to your Kindle directly using a USB cable or by emailing it to your Kindle via its Send-to-Kindle email address using your email client or something like the Amazon Send-To-Kindle tool or an eBook management tool like Calibre.
Notifications of new listings will be made in various GoodReads discussion groups (e.g. Amazon Kindle), as well as on the Reddit FreeEBOOKS group. There is also an RSS Feed.