I started learning about Single-cell analysis, yet I'm accustomed to using R(I rather prefer c++ or python).
Thus my interest is whether or not it's necessary to master R in order to analyze data gained by single cell analysis.
I do Python coding for cell counting and for cell size measurement (with different hardware setup). Though I am not sure which cell and what kind of analysis you are working on but you can easily find python code for this field.
The main thing is to find your problem, make a flow chart, next start searching on internet for related work, and then do changes according to your own requirement.
The main thing for programming is that you should know what are you doing.
If you are good in basic programming structure and know how to do debugging you can switch to another language for some project.
Check these links (cell counting), I did practice these codes initially and was helpful for me.
https://github.com/cxhernandez/cellcount
https://github.com/ZachPenn/CellCounting
https://github.com/MahmudulAlam/Automatic-Identification-and-Counting-of-Blood-Cells
https://github.com/ieee8023/countception
Abid Hussain Thank you very much. I've just started learning, and probably I'll start by basic counting of the cell-structure, so your suggestion was very helpful for me.
for single cell analysis R is good programming language
because R studio have many packages for single cell analysis
graphs and charts and you wants to do any types of interest variable you can do it in R programming very easily R is simple and easy to understand
Python and C++ is difficult to master as compare to R
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