Hello to everyone,
I’m new in this forum and I hope that somebody can give me some help.
I’m not so expert in S2 image, so I could be not so accurate. 
I’m beginning to do some stuff with S2 image. In particular I need to merge two adjacent Sentinel 2 images to output one single image. Then main problem is that many couples of adjacent images are partially overlapped, so I don’t know how I can merge the images.
So, I’d like to merge the images, cutting the overlapping part from one of these, so I’ll have one unique image without overlapping parts.
Thanks in advance 
P.S. I’d like to do this in Python, without using Snap
You don’t need to do it with python. You can directly use SNAP.
There is a tool for mosaicing the data:
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Dear @marpet,
thank you for the information. despite some years have been passed since your reply, I’d like to ask if there is a way to provide an “automatic” way to perform the merging to several files in a folder, grouping them by day of sensing.
Thanks
create a graph for two, three, etc…
Then use python to do the grouping by day, change the parameters of the graph file, and use gpt.exe to run the edited graph. Do that for each grouping of files.
See this answer: Is preprocessing S1 SLC data with snappy realistic? - #2 by cndnflyr