Programming Paradigm Concepts
Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.
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Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.
Learn how to write recursive queries and query hierarchical data structures.
This course is for R users who want to get up to speed with Python!
Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.
Learn efficient techniques in pandas to optimize your Python code.
Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.
Learn to easily summarize and manipulate lists using the purrr package.
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.
Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.
Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!
Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.
Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.
Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.
Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.
Learn defensive programming in R to make your code more robust.
Continue learning with purrr to create robust, clean, and easy to maintain iterative code.
Learn to write cleaner, smarter Java code with methods, control flow, and loops.
Use C++ to dramatically boost the performance of your R code.
Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.