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Most recents (2)
P1/2 #Asiis (Advanced ssh intruder identification system)
Today, i leave some preview images of the python version here. It's full off new features.
- Threading
- Logging (file, terminal,telegram)
- Whois via socket tcp connection (port 43)
- All build-in modules!
- Statusline
Today, i leave some preview images of the python version here. It's full off new features.
- Threading
- Logging (file, terminal,telegram)
- Whois via socket tcp connection (port 43)
- All build-in modules!
- Statusline
P2/2
- Automatic whois server selection, based on ip country -> fallback via iana.org if no valid whois (validly check)
- Config what you want to see on statusline (Threads, Queue, Active intruder, Attack count, New IP since start)
- Known intruder detection.
- Automatic whois server selection, based on ip country -> fallback via iana.org if no valid whois (validly check)
- Config what you want to see on statusline (Threads, Queue, Active intruder, Attack count, New IP since start)
- Known intruder detection.
The multi threading is really working...
Happy to announce my new course Mapping and Data Visualization with #Python. This has been in the making for over a year and excited to be able to share it with the world! The full course is free for self-study and shared under an open license. An overview thread below 👇 1/n
We start with the overview of the Python data visualization landscape and zero in on the core libraries for mapping. Day 1 covers vector data visualization with #Maptplotlib, #Pandas, #GeoPandas, and #Contextily (2/n)
Day 2 starts with a deep dive into XArray and raster data visualization. We use #Xarray, #rioxarray and #CartoPy to visualize elevation and gridded climate datasets and learn some advanced #Matplotlib tricks. (3/n)
