#R Programming Notes

Save It ✅ New Handwritten Notes📝 uploaded on Telegram (🔗Link in Bio) . . . . . #python #python3ofcode #programmers #coder #programming #developerlife #programming language #womenwhocode #codinggirl #entrepreneurial #softwareengineer #100daysofcode #developer #coding #software #programminglife #codinglife #code

My second most asked question is always how I learnt R     I taught myself mainly by just trial and error (I have to actually physically do something I can’t just watch videos as I don’t take it in) so I started with the very basics.   I think it’s so easy to overdo and feel like you need to know how to do everything or a lot of things at the start. Stick to simple things like understanding the R studio interface and loading packages and other basic commands     (after this most things I learnt were googling very specifically what I needed to do and adding the command to a ‘useful command’ list I have)    Next:  Following a vignette from start to finish (one that would be similar to what I would soon need) I then would go through and click on functions to look at the arguments (this tells you all the parameters for the function) and how I can change them if needed!    Finally try swirl it’s so easy to just load directly in the terminal and you learn as you go!        What’s your top tips?    I also have so many more so make sure you follow!      #phd #student #coding #rprogramming #university #tipsandtricks

A tip if you’re trying to learn R ⬇️ SWIRL is a package within R Studio that has tutorials so you can “learn R within R.” I did the R Programming course as an assignment a year or so ago and now use it to refresh my memory about basic terms and codes within R. It also looks like there are quite a few “courses” within SWIRL that are not just for beginners if you already know some R and want to advance - although I haven’t tried them yet 😄 Share this with your friends who might find this useful since R is surprisingly necessary for a lot of majors and academic fields 👩🏼‍💻 #rprogramming #collegetips #gradschool #womeninstem #r

RStudio shortcuts in 60 seconds⏰ Save a bunch of time on both mac or windows by using this shortcut to run the same region of code over and over again to test changes and see how your visualizations will look. #rstudio

Basic Of C Programming Day 01 ✅ #cprogramming #basicofcprogramming #cprogramminglanguage #cprogrammer #programinglife #clanguage #c #coding #bca #bcanotes #cnotes

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If I was a beginner learning to code, I would use this 90 day roadmap step by step for beginners 💪 #coding #codingforbeginners #learntocode #computerscience #programming

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Coding roadmap here 👇 . . C Programming 2-Month Roadmap Week 1: Learn syntax, variables, data types, operators, and basic I/O Week 2: Master conditional statements, loops, and nested control flows Week 3: Understand functions, recursion, and scope rules Week 4: Dive into arrays, strings, and their manipulation Week 5: Learn pointers, pointer arithmetic, and arrays with pointers Week 6: Work with structures, unions, enums, and typedefs Week 7: File handling, dynamic memory allocation (malloc, calloc, free) Week 8: Solve problems on data structures using C (linked list, stack, queue) Resources: YouTube: CodeWithHarry, Neso Academy, Jenny’s Lectures Practice: HackerRank C Track, GeeksforGeeks C Problems . . #coding #roadmap #programming #cprogramming #pythonprogramming #javaprogramming #beginners #newstart #motivation

R vs Python: Key Differences R: - Focuses on data analysis and statistics - Used primarily by academics and researchers - Powerful data visualization with libraries like ggplot2 - Runs on the RStudio IDE - Steeper learning curve initially Python: - Versatile language used for deployment and production - Favored by programmers and developers - Strong data manipulation capabilities with pandas - Integrates with machine learning libraries like TensorFlow - Smoother, more linear learning curve Both are robust data analysis tools, but have different strengths and user bases. Choosing between R and Python depends on your specific needs and background. #DataScience #Programming #RvsPython #DataAnalysis #Statistics #AcademicResearch #Developers #MachineLearning #DataVisualization #RStudio #Python #DataManipulation

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