User contributions for Onnowpurbo

30 November 2015

• 10:4110:41, 30 November 2015 diff hist −1 SNORT: Install SNORT untuk BARNYARD2 →Ubah konfigurasi snort untuk Barnyard2
• 10:2810:28, 30 November 2015 diff hist 0 SNORT: Install SNORT untuk BARNYARD2 No edit summary
• 10:2310:23, 30 November 2015 diff hist +18 N Ipv6 Redirecting to IPv6 current
• 10:1210:12, 30 November 2015 diff hist +74 N Python: File New page: file_ = open('contoh.txt', 'w') file_.write('whatever') file_.close()
• 10:1110:11, 30 November 2015 diff hist +19 Sekitar Python →Lebih Detail
• 04:2004:20, 30 November 2015 diff hist +2,226 N Bokeh-Server: Terima TCP Multiline dengan x axis datetime New page: ==client.py== import sys import time import socket import random # Create a TCP/IP socket sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) # Connect the socket to the p...
• 04:1504:15, 30 November 2015 diff hist +64 Bokeh →Bokeh Server
• 04:0404:04, 30 November 2015 diff hist +1,564 N Python: Kirim via TCP dan di parsing New page: ==client.py== import sys import time import socket import random # Create a TCP/IP socket sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) # Connect the socket to the p... current
• 04:0204:02, 30 November 2015 diff hist +43 Sekitar Python →Lebih Detail
• 03:5703:57, 30 November 2015 diff hist +289 N Python: Parsing New page: "hello world sample text".split() will split on any whitespace. If you only want to split on spaces "hello world sample text".split(" ") regex version would be something like this ... current
• 03:5503:55, 30 November 2015 diff hist +22 Sekitar Python →Lebih Detail
• 03:0903:09, 30 November 2015 diff hist −164 Bokeh-Server: Terima TCP dengan x axis datetime No edit summary current
• 02:5202:52, 30 November 2015 diff hist 0 Bokeh-Server: Random data dengan x axis datetime No edit summary
• 02:5102:51, 30 November 2015 diff hist −15 Bokeh-Server: Random data dengan x axis datetime No edit summary
• 02:1302:13, 30 November 2015 diff hist +48 Bokeh: Plot Random Data dengan Axis Datetime No edit summary current
• 02:1202:12, 30 November 2015 diff hist +3 Bokeh: Plot Random Data dengan Axis Datetime No edit summary
• 02:1102:11, 30 November 2015 diff hist +675 N Bokeh: Plot Random Data dengan Axis Datetime New page: import sys import time import socket import random import datetime from numpy import cumprod, linspace, random from bokeh.plotting import figure, output_server, show, cursession,...
• 01:5601:56, 30 November 2015 diff hist −2 Python: Print waktu →Ambil Menit dan Detik Saja current
• 01:5601:56, 30 November 2015 diff hist +236 Python: Print waktu →Time Stamp
• 01:4001:40, 30 November 2015 diff hist +86 Sekitar Python No edit summary
• 00:2600:26, 30 November 2015 diff hist +51 Bokeh No edit summary
• 00:2600:26, 30 November 2015 diff hist +178 Bokeh: Plot Stock dengan Axis Datetime No edit summary current
• 00:2400:24, 30 November 2015 diff hist +906 N Bokeh: Plot Stock dengan Axis Datetime New page: import time from numpy import cumprod, linspace, random from bokeh.plotting import figure, show, output_file, vplot, output_server num_points = 300 now = time.time() dt = 24*3600 # days ...
• 00:2400:24, 30 November 2015 diff hist +45 Bokeh →Pranala Menarik

28 November 2015

• 12:3712:37, 28 November 2015 diff hist +104 Bokeh-Server: Random data dengan x axis datetime No edit summary
• 12:1712:17, 28 November 2015 diff hist +627 N Bokeh-Server: Random data dengan x axis datetime New page: import sys import time import socket import random import datetime from bokeh.plotting import figure, output_server, show, cursession output_server("randomaja",url='http://192.1...
• 12:1612:16, 28 November 2015 diff hist +55 Bokeh →Bokeh Server
• 12:0612:06, 28 November 2015 diff hist +128 Python: Print waktu No edit summary
• 11:5311:53, 28 November 2015 diff hist +61 Bokeh: Menerima TCP data →server.py current
• 11:3911:39, 28 November 2015 diff hist +46 Bokeh-Server: Terima TCP dengan x axis datetime No edit summary
• 11:3911:39, 28 November 2015 diff hist +2,206 Bokeh-Server: Terima TCP dengan x axis datetime No edit summary
• 02:2302:23, 28 November 2015 diff hist +31 N Bokeh-Server: Terima TCP dengan x axis datetime New page: ==client.py== ==server.py==
• 02:2302:23, 28 November 2015 diff hist +54 Bokeh →Bokeh Server
• 02:1202:12, 28 November 2015 diff hist +124 N Python: Print waktu New page: Source import datetime print datetime.datetime.now() Jika dijalankan akan keluar kira-kira 2015-11-28 09:12:03.465258
• 02:1002:10, 28 November 2015 diff hist +26 Sekitar Python →Lebih Detail
• 01:4001:40, 28 November 2015 diff hist −71 Bokeh: Menerima TCP data No edit summary
• 00:2600:26, 28 November 2015 diff hist −38 Bokeh: Menerima UDP data Removing all content from page current
• 00:2500:25, 28 November 2015 diff hist +31 Bokeh →Pranala Menarik
• 00:2300:23, 28 November 2015 diff hist +38 N Bokeh: Menerima UDP data Bokeh: Menerima UDP data moved to Bokeh: Menerima TCP data
• 00:2300:23, 28 November 2015 diff hist 0 m Bokeh: Menerima TCP data Bokeh: Menerima UDP data moved to Bokeh: Menerima TCP data

27 November 2015

• 23:3523:35, 27 November 2015 diff hist +89 N Bokeh-Server New page: Hanya untuk localhost bokeh-server Untuk IP tertentu bokeh-server --ip 192.168.0.100
• 23:3423:34, 27 November 2015 diff hist +19 Bokeh →Bokeh Server
• 23:0323:03, 27 November 2015 diff hist +99 Bokeh-Server: Plot Line No edit summary
• 22:5622:56, 27 November 2015 diff hist +321 N Bokeh-Server: Plot Line New page: Jalankan Server bokeh-server & Buat line.py from bokeh.plotting import figure, output_server, show output_server("line") # THIS LINE HAS CHANGED! p = figure(plot_width=400, plot...
• 22:5222:52, 27 November 2015 diff hist +31 Bokeh →Pranala Menarik
• 22:5222:52, 27 November 2015 diff hist +447 Bokeh No edit summary
• 22:0622:06, 27 November 2015 diff hist +44 Python: Soket UDP →UDP Send / Client
• 12:0712:07, 27 November 2015 diff hist +16 Bokeh →Pranala Menarik
• 12:0712:07, 27 November 2015 diff hist +25 Bokeh →Pranala Menarik
• 12:0412:04, 27 November 2015 diff hist +280 N Python: Random Number New page: from random import randrange, uniform # randrange gives you an integral value irand = randrange(0, 10) # uniform gives you a floating-point value frand = uniform(0, 10) ==Refere... current