devJack

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cowboy credits was the crudest thing ever created here on SN

And a bunch of new accounts? There are accounts that commented here much older than yours, I think you wasted so much time sucking that you forgot to check this

LN Roulette – A Lightning-Powered, Provably Fair Roulette Game

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Guys, be careful, they are no longer willing to pay, I have my balance stuck and this message appeared

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BooksAndArticles

It's an excellent book, the author explains complicated concepts in a simple and understandable way. I really have a great job as a , and you are also learning from the very author of Keras, the most popular framework for machine learning.

In fact, it is important to have knowledge of programming and mathematical concepts (calculus, geometry, derivation, etc.) since Deep Learning is basically pure mathematics; vectors, matrices, vector operations, geometric spaces in various dimensions, etc. It is worth clarifying that the book does NOT use mathematical notations; To make it simpler, the author decides to use instead lines of code that make it much more digestible. However, having knowledge of these concepts gives you the power to understand what is being done and what is being said.

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Deep Learning with Python

Creating modern and scalable systems requires the adoption of microservices. This software architecture approach allows developers to create complex yet flexible systems that can be easily adapted to changes in the business environment.

However, creating microservices is not an easy task. It is necessary to design fine-grained systems that can be easily scaled and managed. This is where the book Building Microservices: Designing Fine-Grained Systems comes into play.

This book provides a comprehensive overview of how to design and implement microservices. It explains how to create independent but interconnected services that can be easily scaled and managed. The book also covers topics such as security, monitoring and testing.

Building Microservices: Designing Fine-Grained Systems is a must-read for any developer interested in creating modern, scalable systems. It provides the tools necessary to design fine-grained systems that can be easily managed and scaled.

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Building Microservices Designing Fine-Grained Systems

As VBA & Python user this book has been of great support for me – the introduction chapters are a refreshment of the basic (but often misunderstood!) elements in a development environment i.e. package managers, conda environments, virtual environments, IDEs, etc…

The rest of the book is only getting better covering all the functionalities and different ways in which xlwings can be used to connect Python with Excel. One of those books that you read, and directly understand without the need of a second source of knowledge.

To have a written reference that goes hand and hand with a “very alive” Python library is a win situation for anyone writing code in Python, but wanting to interact with Excel. 

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Python for Excel

Mr. Grus' book is one of the better data science book I have set my eyes on.

His writing style is friendly and informal. Despite this he covers the mathematical and Computational topics in reasonable depth and always points to further reading at the end of chapters.

The fact that all code used in the book is also explained therein makes the algorithms very graspable.

I would recommend this book anybody who wants to either start with data science or fill in some gaps like was the case with me.

I would love read more books written by Mr. Grus'. I have become a fan.

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Data Science from Scratch First Principles with Python

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