Автор: Python Matthew, Arduino Matthew Название: Programming ISBN: 1801257558 ISBN-13(EAN): 9781801257558 Издательство: Неизвестно Рейтинг: Цена: 5925.00 р. 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
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
-Basic digital Arduino programs
-Basic analog Arduino programs
-Inputs, outputs and sensor.
-Data Structures: Objects and Arrays.
-Higher Order Functions
-Arduino function libraries
-Computer interfacing with an Arduino
-Troubleshooting
-What is JavaScript Cookies?
...and much more
Автор: Rever Matthew Название: Computer Vision Projects with OpenCV and Python 3 ISBN: 178995455X ISBN-13(EAN): 9781789954555 Издательство: Неизвестно Рейтинг: Цена: 6068.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book demonstrates techniques to leverage the power of Python, OpenCV, and TensorFlow to solve problems in Computer Vision. This book also shows you how to build an application that can estimate human poses within images. You will also classify images and identify humans in videos, and then develop your own handwritten digit classifier.
Автор: Lamons Matthew, Kumar Rahul, Nagaraja Abhishek Название: Python Deep Learning Projects ISBN: 1788997093 ISBN-13(EAN): 9781788997096 Издательство: Неизвестно Рейтинг: Цена: 9010.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Python Deep Learning Projects book will simplify and ease how deep learning works, and demonstrate how neural networks play a vital role in exploring predictive analytics across different domains. You will explore projects in the field of computational linguistics, computer vision, machine translation, pattern recognition and many more
Автор: Arduino Matthew Название: Python for Data Science ISBN: 1801257574 ISBN-13(EAN): 9781801257572 Издательство: Неизвестно Рейтинг: Цена: 3304.00 р. 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.
Описание: Is it a great idea to try to use JavaScript for computer programming?
How would you use it?
JavaScript is among the widely computer programming languages in the world. It has been in the computer programming field for well over 40 years, and it is known as a high level language due to the competence it has established in the programming field. JavaScript is used by various software companies in the world, so much that many computer operations will not work without it. So, it's a great idea to try using it too.
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.
Another uniqueness of JavaScript is that the producing company always update the language so that modern operations and newly developed patterns can be easily programmed into a computer. That sounds great, and that is a reason you should trust JavaScript. But that certainly comes with a load of problems. It makes it all the more complicated for you to try using JavaScript. The first is that there are vital skills you need in order to navigate JavaScript as an expert. If you are a beginner who hasn't even run the JavaScript application by accident or you have some raw idea, the book attached below can help you explore easily. It will provide details of data structure, basic programming structure, advance programming structure, various kinds of test execution and so many others. It is also written in a simple and relative style that would answer every question you have at every turn of practice.
This book is ideal for you as a starter who knows nothing about programming. Step by step, you will find all the basics of computer coding with JavaScript. So, be sure reading this means you are training to become a top class programmer who can confidently code computers with a sound knowledge of JavaScript Basics.
Among others, you will learn:
- 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)
- Basic Programming Structure
- Advance Programming Structure
- Data Structures: Objects and Arrays.
- Higher Order Functions
- What is JavaScript Cookies?
Be rest assured, every piece of information you'd like to find is attached in one of these chapters. Whether your research is for personal, or official reasons, this book can give you all the basic you need to know about JavaScript.
Описание: Are you a developer who is looking forward to learning how to easily query and update data?Are you someone who is looking forward to continuing your expertise in Database administration?The truth is: A lot of tech enthusiasts trying to develop web and mobile applications are not aware of the most important means of storing and modifying data.If you are a programmer you should be aware that data is the essential entity for the success of applications and database query languages are necessary for easy manipulation of data.
But are you confused about choosing a query language for your applications?
Don't panic because we provide you with a solution in the form of SQL.
SQL is one of the most famous database query languages that have taken over almost three-fourths of the internet. The reason for its excellent adaptability is its simplicity. It is also a well-learned language that can increase database optimization capabilities.
Learning SQL is a must for any developer nowadays. You can even continue your career as a database administrator if things turn out well in your learning curve. But a lot of enthusiast programmers often backup during the initial learning process due to a bad guide or reference book they will catch up on usually. But don't worry now because you are on the right hands looking at one of the best SQL programming books available in the market that is concise and practical at the same time.
Описание: Are you even aware of the fact that you are using Linux almost every day?
Are you thinking that you have no inkling of the Linux Operating System? Well... this is not the fact. You use it every day without even realizing it. The Linux servers are responsible for running Facebook, Twitter and even Google. It is also the operating system on which various other major internet sites run.
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.
Following are some of the things that run on Linux:
- Android tablets and phones.
- CERN, which is the largest Physics laboratory of the world.
- The Japanese high-speed rail.
- The New York Stock Exchange.
- 94% of the supercomputers in the world.
- Air traffic control systems.
- Nuclear submarines.
The basic system or kernel of all the Linux distributions is the same but the look and feel, besides the software ecosystem are quite different from one another.
The best way one can learn Linux is by using it. Also, with the help of a good eBook, one can understand the basics very well.
A complete guide to start is:
"Linux for beginners: The easy beginner's guide to introduce and use Linux operating system. How to make an easy installation, configuration, learn basics commands, fundamentals and technical overview" by Matthew Python.
Linux for Beginners is specially compiled and designed for beginners who want to start learning Linux and perform better in their jobs and organizations. There is a special emphasis on the Linux switches and commands, services and applications, scripting, access control, process control and much more.
Описание: Are you even aware of the fact that you are using Linux almost every day?Are you thinking that you have no inkling of the Linux Operating System? Well... this is not the fact. You use it every day without even realizing it. The Linux servers are responsible for running Facebook, Twitter and even Google. It is also the operating system on which various other major internet sites run.Also, are you looking forward to learning how to easily query and update data?A lot of tech enthusiasts trying to develop web and mobile applications are not aware of the most important means of storing and modifying data.
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.
While SQL is one of the most famous database query languages that have taken over almost three-fourths of the internet.
Learning SQL is a must for any developer nowadays and with the help of a good eBook, one can understand the basics very well.
A complete guide to start learning Linux and SQL is:
"Programming for beginners Volume 2 2 Books in 1: Linux for Beginners and SQL for Beginners" by Matthew Python.
Here's what you'll learn:
- What is Linux?
- What is SQL
- Getting started with Linux
- What is a Relational Database
- Database Security model
- Recovery models
- Choosing an SSH Client; Connecting via SSH with a password from various OS; Importing and generating SSH Keys on various OS; Connecting via Telnet; Connecting
- Backup techniques
- Download; install; configure; how to add Graphical user interface; how to add additional software; Troubleshooting; etc.
- How to select data
- Internet with Linux Directly
- How to update and delete data
- A brief explanation about control flow tools
...and much more
Автор: Wilkes, Matthew Название: Advanced python development ISBN: 1484257928 ISBN-13(EAN): 9781484257920 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 1: Prototyping and Environments Chapter Goal: Create a prototype script to read a single sensor valueNo of pages 25Sub -Topics1 Introduce the example of collating data from a large number of othermachines1.1 Possible usecases of this pattern include log aggregation, servermonitoring, IoT, monitoring of customer servers, etc1.2 We'll use raspberry pis with a mix of server monitoring andvery basic sensors like temperature sensors. There'll be no IoTspecific setup or detail, it's just that this is easier for people tofollow along with without inventing another system beingmonitored.1.3 There'll be plenty of extra context here for how to apply theongoing example if you do already have a system that needsmonitoring.2 Prototyping using jupyter and nbconvert3 Use pipenv to set up dependency environment3.1 Note that by introducing pipenv before setuptools we'repreempting the confusion about the right way to do dependencyand environment management. Chapter 2: Testing, Checking and LintingChapter Goal: Progress the prototype to a series of reliable functions thatcan be testedNo of pages: 30Sub - Topics1 Testing with PyTest (especially fixtures and MUT style)2 Type hinting and checking with mypy3 Linting with flake8 and autoformatting with black4 pre-commit and commit hooks5 GitHub CI integration for easier contributions Chapter 3: Packaging ScriptsChapter Goal: Create an installable package that gives a single script toread the sensor valueNo of pages: 30Sub - Topics: 1 setup.py and setuptools when it comes to packaging (not pip /setup.py for environment management, that's in chapter 1)2 Namespace packages3 Console entrypoint4 argparseHelpful aside: Package name conflicts, installing from GitHub releases, release hashing, wheels Chapter 4: From Script to LibraryChapter Goal: Extend the package to allow reading of multiple sensorsthrough the command lineNo of pages: 20Sub - Topics: 1. Abstract Base Classes2. Second sensor value3. argparse subcommands Chapter 5: Alternative InterfacesChapter Goal: Make the script functionality available as a HTTPmicroserviceNo of pages: 40Sub - Topics: 1 Simple API servers using flask2 Plugin architecture using entrypoints3 Dynamic dispatch4 Serialisation considerations with custom classes (like units from pintspackage) Chapter 6: Speeding Things UpChapter Goal: Discuss optimisation strategies, what the tradeoffs betweenasync and different types of caching are. We'll use cachinghere, but async laterNo of pages: 25Sub - Topics: 1 asyncio vs lru_cache vs redis vs sqlite etc2 Use of timeit3 File operations using context managers Chapter 7: Aggregation ProcessChapter Goal: Create a new package, read configuration files, do a basicHTTP loopNo of pages: 25Sub - Topics: 1 cookiecutter2 Config files (configparser vs json vs yaml)3 Requests library4 More depth in pytest usage Chapter 8: Asynchronous ProgrammingChapter Goal: Understand the event loop, especially async for loops, demonstrate how
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