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[center]Guide to Python 2 Programming | 236 | Mohanty, Devjyoti | 2021 | Healthy Pragmatic Solutions Inc | [/align]

✅ Deep Learning With Python Illustrated Guide For Beginners And Intermediates "Learn By Doing Approach"
✅ Includes  Keras with Tensorflow Backend
Deep learning originates from a broader family of machine learning, including supervised and unsupervised learning
The python programming language is one of the most popular languages for programmers in the 21st century.
This programming language has been a fundamental cornerstone in a lot of technology we use today. -Things we take for granted on a daily basis. Developing both desktop and web applications, and more interestingly enough has been used to accomplish many artificial intelligence feats.
The world is constantly changing and evolving and it appears machine learning could be the way of the future! As we speak technology on a massive scale is being developed to replace mundane and repetitive tasks humans interface with everyday through the use of "deep learning". Ultimately, this means less human errors and a more efficient ways of operating for many corporations.
You can potentially become the next big start-up! Develop software, web development tools and many more online ventures!
✅ Companies That Use Python Currently
✅ Google
✅ Facebook
✅ Dropbox
✅ Yahoo
✅ IBM
✅ Mozilla
✅ Quora
✅ Why Programmers Choose To Use Python?
✅ Readable & Maintainable Code
✅ Dynamic Type System
✅ Compatible with Major Platforms and Systems
✅ Robust Standard Library
✅ Simplifies Complex Software Development
✅ Test Driven Development
✅ Highly Sought After Skill-Set For Employers
Invest in your knowledge base by buying your copy right now. The greatest investment you can make is an investment in yourself! Python will pave the road of technological advancements and very much so shape the world we live in. Become apart of this global progression towards advanced technology through the use of "deep learning".
✅ What You'll Learn
✅  What is deep learning
✅ Theory of Artificial Neural Network
✅ Artificial Neural Network with Keras       
✅ Image Classification with Convolutional Neural Network
✅ Environment Setup
✅ Natural Language Processing
✅ Evaluating and Tuning the ANN
✅ Sequence Modeling
✅ And, much, much more!
By the end of this book you will have grasped the fundamentals of python programming & deep learning! There is also illustrations to go along to help you understand and retain the info on a much more profound level. Picture diagrams have scientifically proven to accelerate the learning process by over ✅ 120%!
✅  Buy Your Copy Right Now!
 
INTRODUCTION ABOUT THE BOOK
Guide to Python 2 Programming is designed for developers who are passionate about python and its core structures . It will help them to learn the concepts easily and implement them in practical projects.

What is Python ?
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.

Python 2
Python 2 made code development process easier than earlier versions. It implemented technical details of Python Enhancement Proposal (PEP). Python 2.7 (last version in 2.x ) is no longer under development and in 2020 will be discontinued.

Things Included
~ 19 Chapters all in one.
~ Starting from Basic Concepts to advance level.
~ Small Projects also included.

✅ Contents of download скачать:
⭐️ B09BTKWCST.mobi (4.36 MB)
⭐️ B09BTKWCST.pdf (4.67 MB)

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✅ Guide to Python 2 Programming (9.03 MB)
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Код:
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