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CodeSignal

Working with Different Files as Data Sources in C++

via CodeSignal Path

Overview

Dive into the dynamic world of data with C++! This thrilling course empowers data scientists to master handling text, CSV, JSON, and large datasets, unleashing the power of efficient data manipulation, storage, and processing for cutting-edge applications.

Syllabus

  • Fundamentals of Text Data Manipulation in C++
    • Explore the basics of text data manipulation using C++. Learn how to efficiently read from and write to files, working with line-by-line and character-by-character parsing methods to build a solid foundation in handling textual data in C++.
  • Parsing Table Data in C++
    • Master parsing and writing techniques for scientific data using both TXT and CSV formats. This course provides practical skills for working with tabular data, ensuring you can manage various structured data files effectively.
  • Parsing JSON with C++
    • Dive into JSON, XML, and scientific data storage. Discover how to parse, construct, and store structured data formats, leveraging C++'s capabilities to manage complex datasets essential for data-driven applications.
  • Large Data Handling Techniques in C++
    • Learn efficient techniques for managing large datasets. From compressed file management with `zipfile` to batch processing, this course equips you to handle data at scale.

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