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Learn the fundamentals of data manipulation in Julia through this comprehensive tutorial on DataFrames.jl v0.22, presented by Bogumił Kamiński. Master the essential skills for working with structured data in Julia, starting with environment setup and progressing through creating your first data frames. Explore techniques for importing and working with text files, understanding how to read, write, and manipulate data from various file formats. Discover powerful grouping operations that allow you to aggregate, transform, and analyze data by categories or conditions. Practice collecting and organizing experimental data within data frame structures, learning best practices for data organization and management. Gain insights into advanced data manipulation techniques and understand the next steps for expanding your DataFrames.jl expertise. This tutorial provides hands-on experience with real-world data scenarios and prepares you to effectively use Julia's DataFrames.jl package for data science and analysis projects.
Syllabus
Intro to DataFrames.jl v0.22: Environment Setup
Intro to DataFrames.jl v0.22: First Steps with Data Frames
Intro to DataFrames.jl v0.22: Working with Text Files
Intro to DataFrames.jl v0.22: Grouping Data Frames
Intro to DataFrames.jl v0.22: Collecting Experiments Data in a Data Frame
Intro to DataFrames.jl v0.22: Next Steps
Taught by
The Julia Programming Language