Update Readme.md

Author: tirthajyoti

Memory-profiling/Scalene/Readme.md

@@ -3,15 +3,27 @@
 ### Install
 `pip install scalene`
 
-### Run
-`scalene <yourapp.py>`
+### Run (on CLI)
+`$ scalene <yourapp.py>`
 
 ### Example output
 
 If you run the `mlp.py`
 
-`scalene mlp.py`
+`$ scalene mlp.py`
 
 You may see something like,
 
 ![scalene-1](https://raw.githubusercontent.com/tirthajyoti/Machine-Learning-with-Python/master/Memory-profiling/Scalene/scalene-1.PNG)
+
+### Features
+Here are some of the cool features of Scalene. Most of them are self-explanatory and can be gauged from the screenshot above,
+
+- **Lines or functions**: Reports information both for entire functions and for every independent code line
+- **Threads**: It supports Python threads.
+- **Multiprocessing**: supports use of the multiprocessing library
+- **Python vs. C time**: Scalene breaks out time spent in Python vs. native code (e.g., libraries)
+- **System time**: It distinguishes system time (e.g., sleeping or performing I/O operations)
+- **GPU**: It also can report the time spent on an NVIDIA GPU (if present)
+- **Copy volume**: It reports MBs of data being copied per second 
+- **Detects leaks**: Scalene can automatically pinpoint lines responsible for likely memory leaks!