quick-references
Introduction to R Language
n the world of data science and statistical analysis, the R language has emerged as a versatile and powerful tool. Originally developed by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, R has gained immense popularity among statisticians, researchers, and data scientists worldwide. With its extensive collection of packages and libraries, R provides a wide range of capabilities for data manipulation, visualization, and modeling.
Mastering Shell Scripting
In the world of programming and automation, Shell scripting stands as a powerful tool for streamlining repetitive tasks, improving productivity, and unlocking the true potential of a Unix-like operating system. Whether you're a system administrator, a developer, or simply someone looking to automate everyday tasks, learning Shell scripting can significantly boost your efficiency.
Mastering Vim
Vim is a powerful and highly customizable text editor that has gained a cult following among developers and power users. Known for its efficiency and versatility, Vim offers a wide range of features and commands that can significantly enhance your productivity.
Python Pandas Library
In the world of data analysis and manipulation, Python has emerged as a powerful tool. One of the most popular libraries for handling and analyzing data in Python is Pandas. With its intuitive and versatile functionality, Pandas simplifies the process of working with structured data, making it a favorite among data scientists, analysts, and developers.
Mastering Jupyter Notebook Commands
Jupyter Notebook is a powerful and popular tool used by data scientists, researchers, and developers for interactive computing, data analysis, and documentation. It provides an environment where you can write and execute code, visualize data, and create rich text documents.