Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a critical training and resource tool to help engineers understand machine learning theory and practice, specifically referencing use cases in oil and gas. The reference moves from explaining how Python works to step-by-step examples of utilization in various oil and gas scenarios, such as well testing, shale reservoirs and production optimization. Petroleum engineers are quickly applying machine learning techniques to their data challenges, but there is a lack of references beyond the math or heavy theory of machine learning. Machine Learning Guide for Oil and Gas Using Python details the open-source tool Python by explaining how it works at an introductory level then bridging into how to apply the algorithms into different oil and gas scenarios. While similar resources are often too mathematical, this book balances theory with applications, including use cases that help solve different oil and gas data challenges.
Get to grips with essential concepts and step-by-step explanations to apply TDD practices to your Python projects while keeping your test suite under control
Key Description:
Build robust Python applications using TDD and BDD methodologies
Test Python web applications using WebTest and web frameworks
Leverage PyTest to implement stringent testing mechanisms to ensure fault-tolerant applications
Book Description:
Test-driven development (TDD) is a set of best practices that helps developers to build more scalable software and is used to increase the robustness of software by using automatic tests. This book shows you how to apply TDD practices effectively in Python projects.
You'll begin by learning about built-in unit tests and Mocks before covering rich frameworks like PyTest and web-based libraries such as WebTest and Robot Framework, discovering how Python allows you to embrace all modern testing practices with ease. Moving on, you'll find out how to design tests and balance them with new feature development and learn how to create a complete test suite with PyTest. The book helps you adopt a hands-on approach to implementing TDD and associated methodologies that will have you up and running and make you more productive in no time. With the help of step-by-step explanations of essential concepts and practical examples, you'll explore automatic tests and TDD best practices and get to grips with the methodologies and tools available in Python for creating effective and robust applications.
By the end of this Python book, you will be able to write reliable test suites in Python to ensure the long-term resilience of your application using the range of libraries offered by Python for testing and development.
What You Will Learn:
Find out how tests can make your life easier as a developer and discover related best practices
Explore PyTest, the most widespread testing framework for Python
Get to grips with the most common PyTest plugins, including coverage, flaky, xdist, and picked
Write functional tests for WSGI web applications with WebTest
Run end-to-end tests for web applications using Robot Framework
Understand what test-driven development means and why it is important
Discover how to use the range of tools available in Python
Build reliable and robust applications
Who this book is for:
This book is for Python developers looking to get started with test-driven development and developers who want to learn about the testing tools available in Python. Developers who want to create web applications with Python and plan to implement TDD methodology with PyTest will find this book useful. Basic knowledge of Python programming is required.
Автор: Desai Pratik Название: Python Programming for Arduino: Develop practical Internet of Things prototypes and applications with Arduino and Python ISBN: 1783285931 ISBN-13(EAN): 9781783285938 Издательство: Неизвестно Рейтинг: Цена: 67430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Learn how Arduino can be combined with Python to develop advanced Internet of Things projects. This book starts with designing hardware prototypes using Arduino and covers everything you need to develop complex cloud applications with the help of a variety of examples and detailed explanations.
Автор: Arduino Mik Название: Python for Beginners: Hands-On Project to Give Crushing Blow to Fake Programming Heroes. Tips for the World of Hackers, Ethical Hacking, Lea ISBN: 1801326541 ISBN-13(EAN): 9781801326544 Издательство: Неизвестно Рейтинг: Цена: 31220.00 T Наличие на складе: Нет в наличии. Описание: Do you want to understand the Python language once and for all? Is your biggest dream to seriously learn the art of hacking and how to access the most famous sites worldwide, even if you are not an expert in codes and computer science? Then keep reading... Why is it impossible to find simple and valuable information about Python and hacking techniques? That's what happened to me several years ago. I bought books and took courses to understand how to make the most of the Python language along with hacking and cybersecurity techniques. But in the end, I was not hired by anyone because my knowledge was always too limited. Until one day I met a person via the internet who explained to me that in common books I will never find anything advanced and detailed, especially about the hacking topic, simply because it is information that few people in the world know about. I started taking courses via Skype for a fee with this person and began to actually understand in two months advanced information that I had never found in previous years in countless books. This person has worked for numerous famous companies and carried out many hacking operations. Now I will teach you what I have learned in this book in simple and detailed language. This is a book from which it will be possible to learn. The goal of Python for Beginners is to give you the advanced information you are looking for and that you will not find in other books on the market about Python, hacking and cybersecurity, all explained in a language that even children would understand. What are some points you will learn in this book? Why is Python Helpful to Become a Great Hacker? The Reason Why You Should Keep Your Computer Safe That no One Will Ever Reveal to You Different Types of Hackers: Who Would You Like to Be? How to Become an Ethical Hacker: Advanced Techniques Cybersecurity Explained in Detail and with Simple Language The Importance of Penetration Testing to Become the Best Ethical Hacker in the World How to Hack a Wireless Network 8 Tips and Tricks about Hacking to Keep You Safe... and Much More Python for Beginners is perfect for those who want to approach the Python world and understand advanced information about hacking and cybersecurity even if you don't understand anything about computer science and don't know how to turn on a computer. Would You Like to Know More? Buy now to find out about Python for Beginners.
Автор: Python Matthew Название: Programming for Beginners: 2 Books in 1: Arduino Programming for Beginners Javascript for Beginners ISBN: 1801188637 ISBN-13(EAN): 9781801188630 Издательство: Неизвестно Рейтинг: Цена: 27540.00 T Наличие на складе: Нет в наличии. Описание: Is it a great idea to try to use JavaScript for computer programming?Also, would you like to control switch, LED, and so on by simply programming them with a single board, even without changing the board itself when something goes wrong?
Arduino is a fascinating platform used to build electronic projects. It is preferred by a lot of experts just starting out electronic projects.The Arduino board is processed to use simple chips called Microcontrollers.
While JavaScript is among the widely computer programming languages in the world. JavaScript is used by various software companies in the world, so much that many computer operations will not work without it.
Both JavaScript and Arduino are pretty simple to use.
The most exciting feature of JavaScript is that it allows you to program using English-based commands, not numeric codes and that makes it a whole lot easier for humans to program. This means programmers can read and easily understand the computer language.
Coding with an Arduino program can make it pretty easy to control your electronics because you don't have to change the whole board when something goes wrong, each faulty microchip can be easily replaced.
However there are vital skills you need in order to navigate JavaScript and Arduino as an expert. If you are a beginner who hasn't even run the JavaScript or Arduino application by accident or you have some raw idea, the book attached below can help you explore easily.
"Programming For Beginners Volume 1: 2 Books in 1: Arduino Programming for Beginners and Javascript for Beginners" by Matthew Python.
Here's what you'll learn:
-What is Arduino?
-What is JavaScript? (JavaScript in XHTML documents, in browsers, etc.)
-Why JavaScript? (Types of JavaScript execution, how to create one, Python Vs Java and so on)
-Explanation of Arduino Components
-Getting started with Arduino
-Basic and advanced Programming Structure for JavaScript
Programming language has rendered itself as the language of choice for coding beginners and advanced software programmers alike.
This book is written to help you master the basic concepts of Python, SQL and Arduino coding and how you can utilize your coding skills to analyze a large volume of data and uncover valuable information that can otherwise be easily lost in the volume. Python was designed primarily to emphasize readability of the programming code, and its syntax enables programmers to convey ideas using fewer lines of code. The Structured Query Language (SQL) is the language of choice define, manipulate, control and query the data within a RDBMS. Starting Arduino Programming allows you to rapidly and intuitively develop your programming abilities through sketching in code. This book provides you with an understanding of the standard structure for developing Arduino code, including the functions, syntax, structure, and libraries needed to produce future tasks.
This book will provide you overarching guidance on how you can use Python to develop machine learning models using Scikit-Learn, most widely used Python-based machine learning library. Python programming, data analysis, and machine learning are widely credited in the birth of the powerhouse, which is the "Silicon Valley." To become a machine learning expert, a sound and in-depth understanding of every nuance of this area is critical. On the other hand, you can efficiently and effectively learn and write SQL statements or queries to retrieve from and update data on relational databases such as MySQL. You will be able to install the free and open MySQL user interface with the instructions provided in this book. This book will help you comprehend the basic principles of Arduino, its advantages, benefits and applications in numerous markets and platforms.
Some of the highlights of the book include:
●Step by step instructions on how to install Python on your operating systems (Windows, Mac, and Linux).
●Concept of Python data types is presented in exquisite detail with various examples of each data type.
●Learn how to create Python variables and assign desired data type to them.
●A variety of SQL data types that are a pre-requisite for learning SQL have been explained in an easy to understand language.
●Learn how to create an effective database on the MySQL server as well as to create data tables and insert data into those tables.
●Learn CREATE VIEW, MERGE, TEMPTABLE, UNDEFINED, Updatable SQL Views, ALTER VIEW and CREATE OR REPLACE VIEW statements.
●What is Arduino Programming.
●Arduino - Program Structure
●Arduino - String Item
Finally, as an added bonus you will learn some Python, SQL and Arduino tips and tricks to take your machine learning programming game to the next level. Don't you think it can be that easy? If you really want to have proof of all this, don't waste any more time
Get the book today and start right now .
Автор: Python Matthew, Arduino Matthew Название: Programming ISBN: 1801257558 ISBN-13(EAN): 9781801257558 Издательство: Неизвестно Рейтинг: Цена: 39500.00 T Наличие на складе: Нет в наличии. Описание: How much do you about Python for Data Science, JavaScript, Arduino, Linux and SQL?
1. Python is a powerful programming language, serving a large number of purposes. It is a free and open-source programming language and it is a very good programming language for beginners, especially for those who are interested to learn computer programming for the very first time. With the help of python, data manipulation, data visualization, as well as, data analysis becomes very simple.
2. Linux is quite synonymous with the cloud. If you intend to work on cloud-based projects, it is always good to learn Linux, especially the essentials.
3. While SQL is one of the most famous database query languages that have taken over almost three-fourths of the internet.
4. Arduino is a fascinating platform used to build electronic projects. It is preferred by a lot of experts just starting out electronic projects.
5. While JavaScript is among the widely computer programming languages in the world. JavaScript is used by various software companies in the world, so much that many computer operations will not work without it
All these programs are pretty simple to use.
However there are vital skills you need in order to navigate as an expert. If you are a beginner who hasn't even run these applications by accident or you have some raw idea, the book attached below can help you explore easily.
"Programming 6 Books in 1: Arduino Programming for Beginners; JavaScript for Beginners; Linux for Beginners; SQL for Beginners; Python Programming for Beginners; Python for Data Science" by Matthew Python and Matthew Arduino.
Here's only a little preview of what you'll find inside:
- What is Arduino, JavaScript, Linux, SQL, Python
- History of these programs
- Fundamentals of Python for Data Science
- What is Data Science
- What is a Relational Database
- Database Security model
- Recovery models
- Download; install; configure; how to add Graphical user interface; how to add additional software; Troubleshooting; etc.
- How to select data
- Basic and advanced Programming Structure for JavaScript
Автор: Arduino Matthew Название: Python for Data Science ISBN: 1801257574 ISBN-13(EAN): 9781801257572 Издательство: Неизвестно Рейтинг: Цена: 22030.00 T Наличие на складе: Нет в наличии. Описание:
The truth is: Python is one of the best languages, suited for programming, especially when it comes to a data scientist.
You must be knowing that Python is one of the most common programming languages. But, why should you learn this language? Also, why should you learn this language, if you want to pursue a career in data science? Read On to know more.
Python is a very flexible language, besides being powerful and free. It is also an open-source language, besides being simple and coming with easy to read syntaxes. With the help of python, data manipulation, data visualization, as well as, data analysis becomes very simple. Python also has all the libraries, that are vital for every application of machine learning and scientific processing of data. Though Python is a high-level language, it is also quite easy to learn and is procedure-oriented besides being object-oriented.
With data science gaining more popularity, the programmers need to have deep knowledge in Python, one of the languages required in data science. Python is widely used by data scientists because of the presence of a large number of libraries. It can help in performing multiple tasks like web development, database, data mining, image processing, graphical user interface and a lot more. As Python can combine improvement, along with the ability to interface with algorithms of high performance, it is a very popular language among the data scientists.
DOWNLOAD: Python for Data Science: how to learn basic contents to work with data with this programming language with this beginner's guide. Machine learning tools, concepts, and data analysis crash course.
Data Science is all about ETL or extraction-transformation-loading process, which makes Python, very much suited for the purpose. Python has shown a sharp rise, as high as 51%, in its popularity, as a top data science tool. This is because Python can integrate very well with most cloud and platform-as-a-service providers. It also supports multiprocessing, which is helpful for parallel computing. The language ensures large-scale performance in both machine learning and data science. Most importantly, it can be extended with the modules written in other languages like C and C++.
The goal of the eBook is simple: The eBook is a comprehensive resource to help us understand the importance of Python for data science.
You will also learn:
- Fundamentals of Python for Data Science
- History of python; how to install python; What is Data Science; history of Data Science; data science and artificial intelligence; data science tips and tricks.
- Basic fundamentals of Python
- The Python keywords; How to name an identifier; the Python statements; the Comments; bringing in the Python Variables; the Operators; the Python Functions; The Python Classes; Control Flow.
Download the eBook, Python for Data Science to know more about their relationship.
Автор: Python Matthew Название: Arduino programming for beginners ISBN: 1801257566 ISBN-13(EAN): 9781801257565 Издательство: Неизвестно Рейтинг: Цена: 23870.00 T Наличие на складе: Нет в наличии. Описание: Would you like to control switch, LED, and so on by simply programming them with a single board, even without changing the board itself when something goes wrong? Arduino is a fascinating platform used to build electronic projects. It is preferred by a lot of experts just starting out electronic projects.
That is because of the ease of operation that it offers and its wide range of simple versions that you can try. The Arduino board is processed to use simple chips called Microcontrollers. It uses these with its Microcontroller board.
Coding with an Arduino program can make it pretty easy to control your electronics. You may control switch, LED, and so on by simply programming them with Arduino board. You don't have to change the whole board when something goes wrong, each faulty microchip can be easily replaced. Besides these, it is cost effective than other most of the other programs.
The surprising news is that despite being a very thrilling program, a lot of people do not understand how Arduino program works. Many tried to operate it without learning, they found it impossible so they gave up. Similarly, research shows that a lot of interested amateurs tried to learn Arduino programming too, but they made no breakthrough because their teachers knew too little or could not break things down for them. Arduino is too intriguing to be dumped. It is for the purpose of those who do not have any background in Arduino programming that the Matthew Python and the editorial team have put together a masterpiece that can give a bit by bit guide to every beginner interested in learning Arduino.
"Arduino Programming for Beginners: How to learn and understand Arduino hardware and software as well as the fundamental concepts with this beginner's guide. getting started Arduino Sketches" by Matthew Python
This books can teach you every basic knowledge you need to have about Arduino programming. Ranging from the keywords to the terms and operation. It is packed with a lot of installation, sketching and control steps that makes it hard for anyone to miss the lessons. You will find help on how you can troubleshoot when you need to, the function of I/O, FTDI chips and so on. If all you knew was the term 'Arduino program' earlier, this book provides details of everything you are missing.
Among others, you will learn:
- What is Arduino?
- Understanding of Arduino
- Anatomy of Arduino Board
- Arduino Family
- Explanation of Arduino Components.
- Getting started with Arduino
- Basic digital Arduino programs
- Basic analog Arduino programs
- Arduino programming tools
- Inputs, outputs and sensor.
- Arduino function libraries
- Computer interfacing with an Arduino
- C language basics
- Arduino clones and similar boards.
- Troubleshooting.
Wouldn't you like more to know more about this operation? Getting this book is how you can learn it all yourself, you will realize how the full concept of Arduino and you can try it out yourself.
Автор: Albrecht Jens, Ramachandran Sidharth, Winkler Christian Название: Blueprints for Text Analytics Using Python: Machine Learning Based Solutions for Common Real World (Nlp) Applications ISBN: 149207408X ISBN-13(EAN): 9781492074083 Издательство: Wiley Рейтинг: Цена: 67570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This practical book provides data scientists and developers with blueprints for best practice solutions to common tasks in text analytics and natural language processing. Authors Jens Albrecht, Sidharth Ramachandran, and Christian Winkler provide real-world case studies and detailed code examples in Python to help you get started quickly.
Название: Machine Learning Applications Using Python ISBN: 1484237862 ISBN-13(EAN): 9781484237861 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Part 1: HealthcareChapter 1. Overview of machine learning in healthcare.Chapter 2. Key technological advancements in healthcare.Chapter 3. How to implement machine learning in healthcare.Chapter 4. Case studies on how organizations are changing the game in the market.Chapter 5. Pitfalls to avoid while implementing machine learning in healthcare.Chapter 6. Healthcare specific innovative Ideas for monetizing machine learning. Part 2: Retail Chapter 7. Overview of machine learning in Retail.Chapter 8. Key technological advancements in Retail.Chapter 9. How to implement machine learning in Retail.Chapter 10. Case studies on how organizations are changing the game in the market. c. One discussion based case study. d. One practical case study with Python code.Chapter 11. Pitfalls to avoid while implementing machine learning in retail.Chapter 12. Retail specific innovative Ideas for monetizing machine learning. Part 3: Finance Chapter 13. Overview of machine learning in Finance.Chapter 14. Key technological advancements in Finance.Chapter 15. How to implement machine learning in Finance.Chapter 16. Case studies on how organizations are changing the game in the market. e. One discussion based case study. f. One practical case study with Python code.Chapter 17. Pitfalls to avoid while implementing machine learning in Finance.Chapter 18. Finance specific innovative Ideas for monetizing machine learning.
Do you Want to learn more about Python Machine Learning ?.... then read on.
Machine learning stems from this question: Can a computer go beyond anything we can order to do and learn by itself to do a specific task? Can a laptop surprise us? Instead of having programmers carefully and manually writing a set of data processing rules, can a computer automatically learn these rules by merely looking at the data?
This question paves the way for a new programming paradigm. In classical programming, on which symbolic artificial intelligence is based, human beings insert rules (the program) and the data to be processed according to these rules and obtain answers. Humans enter data and expected responses based on that data with machine learning, and the computer identifies the practices. These rules can then be applied to other data to produce different, original answers.
A machine learning system is trained and not programmed. He is presented with numerous examples relevant to a given task. In these examples, he finds a statistical structure that ultimately allows him to produce the rules for the task's automation. For example, to automate tagging vacation photographs, many examples of images already tagged by humans could be presented to a machine learning system. The system would be tasked with learning the statistical rules based on associating individual images with specific tags.
Machine learning is closely related to statistics, but it differs from them in many important ways. Unlike statistics, machine learning tends to operate with large and complex datasets (such as a dataset of millions of images, each consisting of tens of thousands of pixels) for which classical statistical analysis such as Bayesian analysis would not be usable. . As a result, machine learning, and especially deep learning, exhibits somewhat limited mathematical theory - sometimes too much - and is more technical than mathematical. It is a practical discipline in which ideas often prove more empirically than theoretical.
In this Book you will learning:
What is Data Science and Deep Learning?
Data Science and Applications
Probability - Fundamental - Statistics
Understanding the Fundamentals of iMachine Learning
Types of MachineiLearning
What is iPython? SettingiUp the Environment in Python
K - Nearest Neighbor Algorithms
Means Clustering
Neural Networks - Linear Classifiers
While most books focus on advanced predictive models, this book begins to explain the basic concepts and how to correctly implement Data Science and Machine Learning, with practical examples and simple coding scripts.
This guide provides the necessary knowledge in a practical way. You will learn the steps of Machine Learning, how to implement them in Python, and the most important applications in the real world.
Would you like to know more?
Download the Book, Python Machine Learning.
Scroll to the top of the page and click the "Buy now" button to get your copy now.
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