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Udemy - Linux System Administration with Python (2015)

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种子名称: Udemy - Linux System Administration with Python (2015)
文件类型: 视频
文件数目: 100个文件
文件大小: 2.39 GB
收录时间: 2017-12-26 13:58
已经下载: 3
资源热度: 279
最近下载: 2024-6-16 18:08

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Udemy - Linux System Administration with Python (2015).torrent
  • 07 Networking/001 Introduction to Sockets.mp429.79MB
  • 07 Networking/006 XML-RPC.mp411.75MB
  • 07 Networking/005 Twisted.mp421.65MB
  • 07 Networking/003 Sockets Continues.mp422.55MB
  • 07 Networking/002 Important Features of Sockets.mp434.84MB
  • 07 Networking/004 SSH Protocol.mp426.02MB
  • 01 Introduction/001 Introduction to the Course.mp429.64MB
  • 02 Installing VMware and Linuxmint/001 Installing vmware and linuxmint.mp437.72MB
  • 09 SNMP/001 bzip2 files.mp442.71MB
  • 09 SNMP/006 Pyinotify.mp428.3MB
  • 09 SNMP/005 Cross-platform build.mp428.64MB
  • 09 SNMP/003 Multiple Operating Systems.mp416.92MB
  • 09 SNMP/007 OSX.mp422.67MB
  • 09 SNMP/004 Fingerprinting.mp428.56MB
  • 09 SNMP/002 Installing SNMP.mp424.42MB
  • 10 Package Management, Processes and Concurrency/010 Thread Handler Continues.mp424.83MB
  • 10 Package Management, Processes and Concurrency/015 Important concepts on Daemonizer.mp418.12MB
  • 10 Package Management, Processes and Concurrency/013 Scheduling process.mp423.62MB
  • 10 Package Management, Processes and Concurrency/011 Introducing Processes.mp419.53MB
  • 10 Package Management, Processes and Concurrency/004 Introduction to Platform Module.mp416.07MB
  • 10 Package Management, Processes and Concurrency/005 Platform Module Features.mp418.86MB
  • 10 Package Management, Processes and Concurrency/014 Introduction to Daemonizer.mp414.48MB
  • 10 Package Management, Processes and Concurrency/007 Threads.mp426.3MB
  • 10 Package Management, Processes and Concurrency/003 Subprocesses.mp424.45MB
  • 10 Package Management, Processes and Concurrency/001 Virtualization and Cloud Management.mp415.47MB
  • 10 Package Management, Processes and Concurrency/008 Threading ping sweep.mp428.9MB
  • 10 Package Management, Processes and Concurrency/009 Thread Handler.mp421.49MB
  • 10 Package Management, Processes and Concurrency/002 EPM package management.mp428.08MB
  • 10 Package Management, Processes and Concurrency/006 Platform Module Continues.mp434.64MB
  • 10 Package Management, Processes and Concurrency/012 Important Concepts on Processes.mp415.61MB
  • 05 Built-ins and Modules, Working with Text and Files/007 Writing Files.mp422.57MB
  • 05 Built-ins and Modules, Working with Text and Files/004 Upper and Lower String Characters.mp448.86MB
  • 05 Built-ins and Modules, Working with Text and Files/006 Working with files.mp426.63MB
  • 05 Built-ins and Modules, Working with Text and Files/002 Built-ins and Modules important Features.mp423.4MB
  • 05 Built-ins and Modules, Working with Text and Files/008 Standard input output.mp425.75MB
  • 05 Built-ins and Modules, Working with Text and Files/005 Regular expressions.mp433.8MB
  • 05 Built-ins and Modules, Working with Text and Files/003 Strings.mp433.09MB
  • 05 Built-ins and Modules, Working with Text and Files/001 Introducing Built-ins and Modules.mp430.33MB
  • 12 Data Persistence/004 Pickle files Continued.mp416.33MB
  • 12 Data Persistence/008 Financial funds code.mp418.83MB
  • 12 Data Persistence/007 ZODB.mp432.72MB
  • 12 Data Persistence/006 Basic Concepts on YAML.mp421.12MB
  • 12 Data Persistence/010 SQlite3.mp417.82MB
  • 12 Data Persistence/001 Introduction to Pickle files.mp418.69MB
  • 12 Data Persistence/009 Serialising custom classes.mp420.19MB
  • 12 Data Persistence/002 Important features in Pickle files.mp421.22MB
  • 12 Data Persistence/005 YAML.mp427.36MB
  • 12 Data Persistence/003 More on Pickle Files.mp417.14MB
  • 03 Python Interpreter/006 Functions.mp427.23MB
  • 03 Python Interpreter/003 Python vs Bash.mp425.91MB
  • 03 Python Interpreter/001 Introducing Python Interpreter.mp413.74MB
  • 03 Python Interpreter/005 Indentations and tabs.mp424.04MB
  • 03 Python Interpreter/004 System Information Script.mp441.75MB
  • 03 Python Interpreter/002 Python Interpreter Continues.mp418.1MB
  • 11 Building GUIs/004 Analyzing Apache Log Viewer script Practically.mp430.43MB
  • 11 Building GUIs/002 PyGTK App.mp429.78MB
  • 11 Building GUIs/001 Intro to GUIs.mp410.3MB
  • 11 Building GUIs/003 Introduction to Apache Log Viewer script.mp416.06MB
  • 11 Building GUIs/005 Apache Log Viewer script explained.mp418.02MB
  • 13 Command Line/001 Intro to SqlAlchemy and Storm.mp420.56MB
  • 13 Command Line/005 True False usage pattern.mp421.12MB
  • 13 Command Line/008 Kudzu Usage Pattern.mp415.62MB
  • 13 Command Line/004 OptParse for simple scripts.mp420.01MB
  • 13 Command Line/009 Hybrid Kudzu Design pattern.mp421.21MB
  • 13 Command Line/003 Intro to CLI.mp412.67MB
  • 13 Command Line/006 Choices usage pattern.mp428.26MB
  • 13 Command Line/002 Important Concepts on SqlAlchemy and Storm.mp423.66MB
  • 13 Command Line/007 Multiple arguments usage pattern.mp414.5MB
  • 08 Data/003 Comparing datas.mp431.26MB
  • 08 Data/006 Tar archives.mp424.17MB
  • 08 Data/001 Modifying directories.mp427.51MB
  • 08 Data/002 Working with directories.mp428.88MB
  • 08 Data/004 Merging and Checksum.mp420.69MB
  • 08 Data/005 Metadata.mp443.21MB
  • 04 I-Python/009 Information gathering.mp436.33MB
  • 04 I-Python/005 I-python vs Unix Shell.mp439.32MB
  • 04 I-Python/007 Variable expansion.mp416.56MB
  • 04 I-Python/011 More history and automation.mp429.16MB
  • 04 I-Python/004 Basic Concepts on i-Python.mp425.27MB
  • 04 I-Python/001 Introducing I-Python.mp427.28MB
  • 04 I-Python/006 Directories and Bookmarks.mp431.63MB
  • 04 I-Python/008 String Processing.mp423.17MB
  • 04 I-Python/003 I-Python Features.mp411.5MB
  • 04 I-Python/002 Installing vmware tools and Ipython.mp415.76MB
  • 04 I-Python/010 Who functions and History.mp419.55MB
  • 14 Pragmmatic Examples/007 Intro to FTP mirror Script.mp418.59MB
  • 14 Pragmmatic Examples/004 Apache Log parser.mp429.85MB
  • 14 Pragmmatic Examples/008 Features in FTP mirror Script.mp426.41MB
  • 14 Pragmmatic Examples/001 Integrating configuration files.mp423.44MB
  • 14 Pragmmatic Examples/005 Important concepts in Apache Log parser.mp438.43MB
  • 14 Pragmmatic Examples/002 Managing DNS with Python.mp440.49MB
  • 14 Pragmmatic Examples/006 Apache Log parser Continued.mp422.46MB
  • 14 Pragmmatic Examples/009 FTP mirror Script Continued.mp417.72MB
  • 14 Pragmmatic Examples/003 Ldap.mp433.44MB
  • 06 The Documentation and Reporting/004 Formatting Continues.mp427.25MB
  • 06 The Documentation and Reporting/003 Introducing Information Formatting.mp412.43MB
  • 06 The Documentation and Reporting/005 Introduction to PDFs.mp424.16MB
  • 06 The Documentation and Reporting/001 Automated info gathering.mp416.21MB
  • 06 The Documentation and Reporting/006 Important Features in PDFs.mp414.67MB
  • 06 The Documentation and Reporting/002 Receiving Email.mp420.65MB