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Raphael Alampay

This course will teach you how to read data in various formats from an internal or external source using the Ruby programming language. It will also teach you how to represent data programmatically and save it to a file for later use.

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This course will teach you how to read data in various formats from an internal or external source using the Ruby programming language. It will also teach you how to represent data programmatically and save it to a file for later use.

Processing data from a third party provider in JSON or CSV format is essential for communicating with other systems and representing complex information. In this course, Reading and Writing Data with Ruby 2, you’ll learn to read and parse data in JSON and CSV format using Ruby’s standard library and interact with various sources that make use of these formats including local files and information returned by web services. First, you’ll explore how data is structured using either JSON or CSV including where one format is used over the other. Next, you’ll discover how to read and write JSON and CSV data to and from a local file and how it is represented natively using Ruby’s data types. Finally you’ll learn how to apply processing of JSON data using Ruby by interacting with an actual web service. When you’re finished with this course, you’ll have the skills and knowledge of reading and writing data with Ruby needed to create applications that process data from a file and interact with third party services that use JSON to represent data.

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What's inside

Syllabus

Course Overview
Working with Files
Working with CSV
Working with JSON
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Fetching Data from a Web Service

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops foundational skills in data processing and manipulation in Ruby programming language, which are core skills for developers in data analysis, data engineering, and software development
Provides practical examples and hands-on exercises to reinforce learning, which can be helpful for learners who prefer a more interactive approach
Covers how to apply processing of JSON data using Ruby by interacting with an actual web service, which is relevant to real-world applications and can provide learners with a practical understanding
Taught by Raphael Alampay, who is not recognized for their work in this topic
Does not explicitly advise students to take other courses first as prerequisites, but it may be beneficial for learners to have some prior knowledge of Ruby programming language

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Hands-On with Kubernetes Admission Controllers with these activities:
Organize course materials
Organize your course materials to create a cohesive study environment.
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  • Create a dedicated folder for the course.
  • Download and save all course materials in the folder.
  • Review the course outline and create a study schedule.
Attend an online or offline Ruby meetup
Attending a Ruby meetup can connect you with other Ruby enthusiasts and provide opportunities to learn from experienced developers about best practices and industry trends.
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  • Find upcoming Ruby meetups in your area or online
  • Meet and interact with other Ruby developers
Connect with Ruby experts
Seek guidance and support from experienced Ruby developers.
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  • Join online Ruby communities and forums.
  • Attend local Ruby meetups or conferences.
  • Reach out to Ruby professionals on LinkedIn.
Eight other activities
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Review Ruby basics
Review the basic concepts of the Ruby programming language before starting the course.
Browse courses on Ruby
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  • Go through an online Ruby tutorial.
  • Read through the Ruby documentation.
  • Complete some basic Ruby exercises.
Review the basics of file handling
This activity will help you refresh your understanding of the fundamentals of reading and writing files in Ruby, which is essential for data manipulation in this course.
Browse courses on File Handling
Show steps
  • Read the Ruby documentation on file handling
  • Practice opening, reading, and writing files in a simple Ruby script
Recall data structures and algorithms
Brush up on your knowledge of data structures and algorithms to prepare for the data processing aspects of the course.
Browse courses on Data Structures
Show steps
  • Review notes from a previous data structures and algorithms course.
  • Go through online resources or textbooks on the subject.
  • Solve some practice problems related to data structures and algorithms.
Practice data reading and writing with CSV files
Practice data reading and writing operations by completing a series of CSV related exercises.
Browse courses on CSV
Show steps
  • Create a CSV file with sample data.
  • Read data from the CSV file and store it in a Ruby array.
  • Write data from the Ruby array to a new CSV file.
Work with JSON data using the Ruby JSON library
Deepen your understanding of JSON by practicing data reading, parsing, and writing operations with the Ruby JSON library.
Browse courses on JSON
Show steps
  • Parse a JSON string into a Ruby hash.
  • Access and modify data within the Ruby hash.
  • Write data from the Ruby hash to a JSON string.
Practice parsing JSON data using Ruby
This activity will provide you with hands-on practice in parsing and working with JSON data in Ruby, which is essential for consuming and producing data in many applications.
Browse courses on JSON Parsing
Show steps
  • Create a JSON file with sample data
  • Write a Ruby script to read the JSON file and extract specific data points
  • Modify the script to handle different JSON structures and data types
Build a data visualization tool using Ruby
Create a data visualization tool that reads data from a file and displays it in a graphical format.
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  • Design the user interface of the tool.
  • Implement data reading and processing functionality.
  • Create charts and graphs to visualize the data.
  • Add interactive features to allow users to manipulate the data.
Develop a data-driven web application
Build a web application that utilizes data from an external source.
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Show steps
  • Choose a data source and design the application's architecture.
  • Implement data fetching and processing functionality.
  • Create a user interface for interacting with the data.
  • Deploy the application to a web server.

Career center

Learners who complete Hands-On with Kubernetes Admission Controllers will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts gather, clean, and analyze large amounts of data to identify trends and patterns. They use their findings to make recommendations and inform decision-making. This course can help you to develop the skills necessary to become a Data Analyst, as it teaches you how to read and write data in various formats, including JSON and CSV, as well as how to represent data programmatically. This knowledge is essential for working with the large datasets that Data Analysts often encounter.
Data Engineer
Data Engineers design and build the systems that store and process data. They use their knowledge of data engineering technologies, such as Hadoop and Spark, to ensure that data is available and accessible to the people who need it. This course can help you to develop the skills necessary to become a Data Engineer, as it teaches you how to read and write data in various formats, including JSON and CSV, as well as how to represent data programmatically. This knowledge is essential for working with the large datasets that Data Engineers often encounter.
Data Scientist
Data Scientists use a variety of techniques, such as machine learning and statistical modeling, to extract insights from data. They use their findings to develop new products and services, as well as to improve existing ones. This course can help you to develop the skills necessary to become a Data Scientist, as it teaches you how to read and write data in various formats, including JSON and CSV, as well as how to represent data programmatically. This knowledge is essential for working with the large datasets that Data Scientists often encounter.
Web Developer
Web Developers design and develop websites. They use their knowledge of HTML, CSS, and JavaScript to create websites that are both visually appealing and functional. This course can help you to develop the skills necessary to become a Web Developer, as it teaches you how to read and write data in various formats, including JSON and CSV, as well as how to represent data programmatically. This knowledge is essential for working with the large datasets that Web Developers often encounter.
Software Engineer
Software Engineers design, develop, and test software. They use their knowledge of programming languages and software development methodologies to create software that meets the needs of users. This course can help you to develop the skills necessary to become a Software Engineer, as it teaches you how to read and write data in various formats, including JSON and CSV, as well as how to represent data programmatically. This knowledge is essential for working with the large datasets that Software Engineers often encounter.
Business Analyst
Business Analysts use their knowledge of business processes and data analysis to help organizations improve their performance. They use their findings to make recommendations and inform decision-making. This course can help you to develop the skills necessary to become a Business Analyst, as it teaches you how to read and write data in various formats, including JSON and CSV, as well as how to represent data programmatically. This knowledge is essential for working with the large datasets that Business Analysts often encounter.
Database Administrator
Database Administrators maintain and manage databases. They use their knowledge of database technologies, such as SQL and NoSQL, to ensure that databases are available and accessible to the people who need them. This course can help you to develop the skills necessary to become a Database Administrator, as it teaches you how to read and write data in various formats, including JSON and CSV, as well as how to represent data programmatically. This knowledge is essential for working with the large datasets that Database Administrators often encounter.
Marketing Manager
Marketing Managers plan and execute marketing campaigns. They use their knowledge of marketing principles and marketing technologies to create campaigns that reach the target audience and achieve the desired results. This course can help you to develop the skills necessary to become a Marketing Manager, as it teaches you how to read and write data in various formats, including JSON and CSV, as well as how to represent data programmatically. This knowledge is essential for working with the large datasets that Marketing Managers often encounter.
UX Designer
UX Designers design and evaluate user interfaces. They use their knowledge of human-computer interaction principles to create user interfaces that are both visually appealing and functional. This course can help you to develop the skills necessary to become a UX Designer, as it teaches you how to read and write data in various formats, including JSON and CSV, as well as how to represent data programmatically. This knowledge is essential for working with the large datasets that UX Designers often encounter.
Sales Manager
Sales Managers plan and execute sales strategies. They use their knowledge of sales techniques and sales technologies to create strategies that reach the target audience and achieve the desired results. This course can help you to develop the skills necessary to become a Sales Manager, as it teaches you how to read and write data in various formats, including JSON and CSV, as well as how to represent data programmatically. This knowledge is essential for working with the large datasets that Sales Managers often encounter.
Information Security Analyst
Information Security Analysts protect an organization's information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. They use their knowledge of information security technologies and practices to identify and mitigate security risks. This course can help you to develop the skills necessary to become an Information Security Analyst, as it teaches you how to read and write data in various formats, including JSON and CSV, as well as how to represent data programmatically. This knowledge is essential for working with the large datasets that Information Security Analysts often encounter.
Product Manager
Product Managers plan and develop new products and features. They use their knowledge of market research and product development to create products that meet the needs of users. This course can help you to develop the skills necessary to become a Product Manager, as it teaches you how to read and write data in various formats, including JSON and CSV, as well as how to represent data programmatically. This knowledge is essential for working with the large datasets that Product Managers often encounter.
IT Manager
IT Managers plan and direct the activities of an organization's IT department. They use their knowledge of IT technologies and business processes to ensure that IT systems are aligned with the organization's needs. This course can help you to develop the skills necessary to become an IT Manager, as it teaches you how to read and write data in various formats, including JSON and CSV, as well as how to represent data programmatically. This knowledge is essential for working with the large datasets that IT Managers often encounter.
Technical Writer
Technical Writers create documentation for technical products and services. They use their knowledge of technical writing principles and technical concepts to create documentation that is clear, concise, and accurate. This course can help you to develop the skills necessary to become a Technical Writer, as it teaches you how to read and write data in various formats, including JSON and CSV, as well as how to represent data programmatically. This knowledge is essential for working with the large datasets that Technical Writers often encounter.
Customer Success Manager
Customer Success Managers help customers get the most value from a product or service. They use their knowledge of the product or service, as well as their knowledge of customer service, to build relationships with customers and ensure that they are satisfied. This course can help you to develop the skills necessary to become a Customer Success Manager, as it teaches you how to read and write data in various formats, including JSON and CSV, as well as how to represent data programmatically. This knowledge is essential for working with the large datasets that Customer Success Managers often encounter.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Hands-On with Kubernetes Admission Controllers.
Offer a comprehensive guide to building and deploying Kubernetes operators, enhancing the course's coverage of this topic.
Provides a comprehensive overview of Kubernetes, including its architecture, components, and best practices. Useful as a reference and for gaining a deeper understanding of the concepts covered in the course.
Introduces fundamental concepts and techniques for designing and building data-intensive applications. Provides valuable insights into data modeling, storage, and processing.
Examines distributed systems theory and provides practical examples using Kubernetes. Ideal for gaining a deeper understanding of the underlying concepts.
Delves into the design and implementation of Kubernetes operators. A valuable resource for those interested in developing and managing complex Kubernetes applications.
Covers security best practices and threat mitigation strategies for Kubernetes environments. Essential reading for those responsible for securing cloud-native applications.

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