SQL means structured query language and is a declarative programming language for accessing and editing data in RDBMS (relational database management systems). SQL was developed by IBM in the 1970s for the mainframe platform. Several years later, SQL was standardized by both the American National Standards Institute (ANSI-SQL) and the International Organization for Standardization (ISO-SQL). According to ANSI, SQL is pronounced "es queue el", but many software and database developers with previous knowledge in MS SQL Server say it is "continued." Get a grasp of this book and learn more.
Do you want to master the era of data science economy? Do you want to learn the top programming languages for data science? If yes, then keep reading
One of the core elements of economic growth in the twenty-first century is the data economy.
We are all required to educate ourselves about a paradigm that represents only the very beginning of a genuine industrial revolution, this time driven by data. Data we generate, store, share, analyze, data that describes us, pinpoints where we are, reveals our tastes and preferences, our opinions and also those of our network of family and friends.
Data has become a crucial input for any economic process.
There is more data being produced daily these days than there was ever produced in even the past centuries In such a scenario, Data Science is obviously a very popular field as it is important to analyze and process this data to obtain useful insights. According to an IBM report published on Forbes, data science has been ranked the best job in tech for the last 3 years.
But in order to be able to assess and analyze the data gathered, you need the best data science tools and skills.
In this beginners and practical guide, you are going to learn the best programming language for data science in 2020, the mostly used by other data scientists and that employers are constantly looking.
This is a complete guide, with 4 Books in 1:
Python crash course
Python for data analysis
Java programming for beginners
Sql for beginners
Python is one of the best programming languages for data science because of its capacity for statistical analysis, data modeling, and easy readability. Another reason for this huge success of Python in Data Science is its extensive library support for data science and analytics. There are many Python libraries that contain a host of functions, tools, and methods to manage and analyze data. Each of these libraries has a particular focus with some libraries managing image and textual data, data mining, neural networks, data visualization, and so on.
Java is one of the oldest languages used for enterprise development. Most of the popular Big Data frameworks/tools on the likes of Spark, Flink, Hive, Spark and Hadoop are written in Java. It has a great number of libraries and tools for Machine Learning and Data Science.
SQL or Structured Query Language is a language specifically created for managing and retrieving the data stored in a relational database management system. This language is extremely important for data science as it deals primarily with data. The main role of data scientists is to convert the data into actionable insights and so they need SQL to retrieve the data to and from the database when required.
Each of these languages come with their benefits, often offering better and faster results when compared with others. The domain of Data Science is exceedingly vast and can often demand a different set of tools for various tasks.
Equipping yourself with more than one programming language can guarantee to help you overcome unique challenges while dealing with the data. If you are a budding Data Scientist, you should start with the programming languages mentioned above as they are the most in-demand languages right now.
Ready to get started? Click the BUY NOW button
Автор: David Levy; Erick Castello?n Название: Transparent Conductive Materials ISBN: 3527342079 ISBN-13(EAN): 9783527342075 Издательство: Wiley Рейтинг: Цена: 35632.00 р. Наличие на складе: Поставка под заказ.
Описание: Der Herausgeber ist ein bekannter Pionier des Fachgebiets mit 1/4ber 30 Jahren Erfahrung. Dieses Handbuch bietet einen umfassenden œberblick 1/4ber transparente leitf hige Materialien und legt dabei den Schwerpunkt auf praktische Anwendungen. Nach einer Einf 1/4hrung in die Materialien und j 1/4ngsten Entwicklungen werden die Synthese und Charakterisierung sowie Beschichtungsverfahren erl utert, die f 1/4r die Energiegewinnung und bei lichtemittierenden Anwendungen h ufig zum Einsatz kommen. Zuk 1/4nftige technologische Fortschritte werden am Ende des Buches er rtert. Dieses umfassende und aktuelle interdisziplin re Fachbuch deckt das komplette Spektrum ab, von der Chemie und den Materialwissenschaften zum Ingenieurswesen, von Lehre und Forschung bis zur Industrie, von den grundlegenden Herausforderungen hin zu direkt verf 1/4gbaren Anwendungen.
What is the Socratic Method? How can we bring the Socratic Method into the middle school and high school classroom? How does a teacher lead a Socratic discussion and develop the discussion skills of students? Using passages from the works of Plato and Xenophon, Teach Like Socrates answers each of these questions, clearly explaining the most famous and the most misunderstood teaching method in the world.
Unrivaled as a constructive vehicle for critical thinking and problem solving, the Socratic Method can be brought into the classroom every day for the inductive exploration of ideas and scaffolded problem solving as well as for cooperative discussion. Teach Like Socrates includes templates, sample lesson plans, discussion games, and example dialogues from students. With this book, every teacher can master the style that leads students to critical thinking, problem solving, and independent learning. Grades 7-12
Автор: Calhoun Mary, Ingraham Erick Название: Henry the Sailor Cat ISBN: 1635616999 ISBN-13(EAN): 9781635616996 Издательство: Random House (USA) Рейтинг: Цена: 1835.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Do you want to learn Java rapidly and regardless of whether you don't have any specialized skills? If yes, then keep reading
How frequently have you pondered figuring out how to code, but you were discouraged on the grounds that you had no specialized foundation, you didn't have the opportunity to learn, or you simply didn't think you were sufficiently brilliant?
Well we have uplifting news for you.
This thorough guide will direct you bit by bit through learning a standout amongst other programming languages out there. In a matter of seconds, you will write code like an expert.
Driven by Sun Microsystems in 1995, Java is known for its security and power. It stays one of the most promising programming languages following two decades. Even if you are an amateur or knowledgeable in other programming languages, this book should give a far reaching prologue to the Java inbox.
Java is one of the most popular programming languages today. For one thing, it is the programming language preferred by almost everyone when it comes to Android programming. Do you want to learn how to develop applications for your smartphone? Learn to program in this language
Java is widely used to develop secure and powerful web applications, mobile applications, corporate applications, and desktop applications.
Java is celebrating its 25th birthday this year and has been one of the most popular programming languages used for developing enterprise software applications. Huge companies like Uber, Airbnb, Twitter and many others, use Java in their tech stack. This means that find a good job as Java developer is relatively easy. In the US the average salary of a Java developer is around 105 thousand dollars per year.
Most books about data structures, algorithms, design patterns, automated testing and software architecture are based on Java. So knowing Java is like knowing English. Java in the programming world is like the English language of our world.
This book covers
Getting Ready for Java
The World of Variables and Operators
Understanding Arrays and String
Programming Control Statement
Advanced object oriented programming
And much more
This book is for people who have absolutely no idea about programming. You will learn programming concepts and nuances that start with the basics while getting the details of Java programming.
Ready to get started? Click the BUY NOW button
Автор: Gray Erick S. Название: Urban Love Is ISBN: 1645562123 ISBN-13(EAN): 9781645562122 Издательство: Random House (USA) Рейтинг: Цена: 1467.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It`s January 1938. . . For two years, Pan American`s magnificent Martin M-130 flying boats have been safely and routinely carrying passengers from San Francisco to Hong Kong. It`s a trip considered by many to be a fairytale ride through the deserted Pacific islands equipped with luxury hotels and dining facilities. However, the corporate expansion continues. New Zealand will be the stepping stone to Australia and Singapore. The Martins can`t be spared. The shorter-range Sikorsky aircraft will have to be used. As with Hong Kong, this route will be blazed by Pan American`s Chief Pilot, Edwin C. Musick. This operation is so perilous that one fueling stop is made next to a tiny atoll, that, at high tide, was only one hundred yards in length. Flight crews will stay overnight there on an ocean-going freighter. On one of these flights, Musick has an engine problem and is faced with a choice. Does he dump fuel to comply with John Leslie`s always accurate performance numbers, knowing that could lead to a catastrophic fire? Or does he, this time, one time in his life, break with procedure... PHOTOS ON BACK COVER COURTESY OF JON KRUPNICK FROM PAN AMERICAN`S PACIFIC PIONEERS: THE REST OF THE STORY.
Do you want to master the era of data science economy? Do you want to learn the top programming languages for data science? If yes, then keep reading
One of the core elements of economic growth in the twenty-first century is the data economy.
We are all required to educate ourselves about a paradigm that represents only the very beginning of a genuine industrial revolution, this time driven by data. Data we generate, store, share, analyze, data that describes us, pinpoints where we are, reveals our tastes and preferences, our opinions and also those of our network of family and friends.
Data has become a crucial input for any economic process.
There is more data being produced daily these days than there was ever produced in even the past centuries In such a scenario, Data Science is obviously a very popular field as it is important to analyze and process this data to obtain useful insights. According to an IBM report published on Forbes, data science has been ranked the best job in tech for the last 3 years.
But in order to be able to assess and analyze the data gathered, you need the best data science tools and skills.
In this beginners and practical guide, you are going to learn the best programming language for data science in 2020, the mostly used by other data scientists and that employers are constantly looking.
This is a complete guide, with 4 Books in 1:
Python crash course
Python for data analysis
Java programming for beginners
Sql for beginners
Python is one of the best programming languages for data science because of its capacity for statistical analysis, data modeling, and easy readability. Another reason for this huge success of Python in Data Science is its extensive library support for data science and analytics. There are many Python libraries that contain a host of functions, tools, and methods to manage and analyze data. Each of these libraries has a particular focus with some libraries managing image and textual data, data mining, neural networks, data visualization, and so on.
Java is one of the oldest languages used for enterprise development. Most of the popular Big Data frameworks/tools on the likes of Spark, Flink, Hive, Spark and Hadoop are written in Java. It has a great number of libraries and tools for Machine Learning and Data Science.
SQL or Structured Query Language is a language specifically created for managing and retrieving the data stored in a relational database management system. This language is extremely important for data science as it deals primarily with data. The main role of data scientists is to convert the data into actionable insights and so they need SQL to retrieve the data to and from the database when required.
Each of these languages come with their benefits, often offering better and faster results when compared with others. The domain of Data Science is exceedingly vast and can often demand a different set of tools for various tasks.
Equipping yourself with more than one programming language can guarantee to help you overcome unique challenges while dealing with the data. If you are a budding Data Scientist, you should start with the programming languages mentioned above as they are the most in-demand languages right now.
Are you looking for a crash course that will help you learn Python? If yes, then keep reading
There are hundreds of different programming languages out there in the world, with Wikipedia listing over 700 notable languages. Given how many languages you could potentially learn, why learn Python?
Python is one of the most popular programming languages in the word in 2020 and specially for data science. Every day people use it to do cool things like Automation, they use it in Artificial Intelligence, as well as Building Applications and Websites like Instagram and Dropbox. YouTube, Pinterest, and SurveyMonkey are all built on Python. So if you are looking for a trendy job, like data scientist, Python is for you.
In this book you are going to learn everything to get started programming in Python.
Python can be used on a wide variety of operating systems, and its clean, readable code style makes it relatively beginner-friendly. While not as fast as other languages, such as C++ or JAVA, Python code is often much shorter and simpler than other languages.
Python has seen an explosion in popularity in recent years, driven by several aspects that make it an incredibly versatile and intuitive language. A huge selling point of Python is the cleanliness and readability of its syntax and structure. Commands in Python can often be carried out using simple English keywords, which makes the language much more intuitive than many other languages. Python is also quite versatile in the sense that it supports both structured programming and object-oriented programming approaches. Python even allows the use of certain aspects of functional programming.
So i hope you stick around and learn this beautiful and powerful programming language.
This book covers:
The world of data science technologies
Customer targeting and segmentation
Application of machine learning
Data scientist: the sexiest job in the 21st century
Learning Python from scratch
What is Python
Why learn Python
Projects on Python
And much more
Despite its simplicity, Python is also sturdy and robust enough to carry out complex scientific and mathematical tasks. Python has been designed with features that drastically simplify the visualization and analysis of data, and Python is also the go-to choice for the creation of machine learning models and artificial intelligence.
Be it machine learning, data analytics, data processing, web development, enterprise software development or taking the photo of Blackhole: Python is everywhere. Beloved by the data scientists and new generation developers, Pyhton will eat the word
Автор: Bourassa Dr Erick Arden Название: Pharmacology for the Medical Student ISBN: 1512212628 ISBN-13(EAN): 9781512212624 Издательство: Неизвестно Цена: 7832.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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