2015
Udemy
iCodeiLearn Academy
15:04:16
English
Python taught through this course is totally object oriented. This course provides learning on open port scanning, security related tasks, performing network scanning etc. If you have knowledge in networking, it will be a great advantage for you. In this course, we will be talking a lot on Unix, Linux terminal and Mac, Python and I-Python etc. We will start with introduction, we will try to understand Python and Linux and how both can be related. We will also talk about I-Python, Text, Documentation and Reporting. We will deal comprehensively with Networking, Data, SNMP. This Linux Administration with Python course also will cover important concepts like OS Soup, Package Management, Processes and Concurrency. We will understand how to build GUIs. Learn Data Persistence and Command Line. Python language is a very efficient way for scripting. Python can accomplish complicated works with minimum coding. If you are a Penetration tester, network engineer, system administrator for any network or system related tasks, this course is a cake walk for you. This course will assume that you have some knowledge on either python or any other programming language. This course will help a person to be a System Administrator in Linux. Enhance your knowledge on python and writing scripts to do daily tasks in Linux rather than doing it manually.
Section 1: Introduction
Lecture 1 Introduction to the Course 11:32
Section 2: Installing VMware and Linuxmint
Lecture 2 Installing vmware and linuxmint 10:48
Section 3: The Python Interpreter
Lecture 3 Introducing Python Interpreter 07:08
Lecture 4 Python Interpreter Continues 08:08
Lecture 5 Python vs Bash 11:06
Lecture 6 System Information Script 11:47
Lecture 7 Indentations and tabs 10:12
Lecture 8 Functions 09:00
Section 4: I-Python
Lecture 9 Introducing I-Python 08:02
Lecture 10 Installing vmware tools and Ipython 07:04
Lecture 11 I-Python Features 05:00
Lecture 12 Basic Concepts on i-Python 08:40
Lecture 13 I-python vs Unix Shell 10:29
Lecture 14 Directories and Bookmarks 12:21
Lecture 15 Variable expansion 06:08
Lecture 16 String Processing 06:47
Lecture 17 Information gathering 10:18
Lecture 18 Who functions and History 09:07
Lecture 19 More history and automation 12:13
Section 5: Built-ins and Modules, Working with Text and Files
Lecture 20 Introducing Built-ins and Modules 10:02
Lecture 21 Built-ins and Modules important Features 07:15
Lecture 22 Strings 08:03
Lecture 23 Upper and Lower String Characters 12:06
Lecture 24 Regular expressions 11:43
Lecture 25 Working with files 11:43
Lecture 26 Writing Files 09:04
Lecture 27 Standard input output 08:55
Section 6: The Documentation and Reporting
Lecture 28 the Automated gathering info 09:12
Lecture 29 Receiving Email 09:20
Lecture 30 Introducing Information Formatting 06:51
Lecture 31 Formatting Continues 07:38
Lecture 32 Introduction to PDFs 10:16
Lecture 33 Important Features in PDFs 06:05
Section 7: Networking
Lecture 34 Introduction to Sockets 11:00
Lecture 35 Important Features of Sockets 10:06
Lecture 36 Continues Sockets 05:14
Lecture 37 SSH Protocol 09:31
Lecture 38 Twisted 09:25
Lecture 39 XML-RPC 06:09
Section 8: Data
Lecture 40 Modifying directories 10:58
Lecture 41 Working with directories 10:30
Lecture 42 Comparing datas 12:04
Lecture 43 Merging and Checksum 08:13
Lecture 44 Metadata 11:42
Lecture 45 Tar archives 09:21
Chapter 9: SNMP
Lecture 46 bzip2 files 12:01
Lecture 47 Installing SNMP 08:37
Lecture 48 Multiple Operating Systems 07:52
Lecture 49 Fingerprinting 10:39
Lecture 50 Cross-platform build 11:36
Lecture 51 Pyinotify 10:26
Lecture 52 OSX 09:40
Section 10: Package Management, Processes and Concurrency
Lecture 53 Virtualization and Cloud Management 07:23
Lecture 54 EPM package management 14:08
Lecture 55 Subprocesses 09:33
Lecture 56 Introduction to Platform Module 05:17
Lecture 57 Platform Module Features 08:07
Lecture 58 Platform Module Continues 11:02
Lecture Threads 59 07:17
Lecture 60 Threading ping sweep 11:01
Lecture 61 Handler Thread 09:14
Lecture 62 Handler Thread Continues 09:02
Lecture 63 Introducing Processes 06:38
Lecture 64 Important Concepts on Processes 05:58
Lecture 65 Scheduling process 10:31
Lecture 66 Introduction to Daemonizer 06:59
Lecture 67 Important concepts on Daemonizer 07:05
Section 11: Building GUIs
Lecture 68 Intro to GUIs 07:05
Lecture 69 PyGTK App 11:53
Lecture 70 Introduction to Apache Log Viewer script 07:11
Lecture 71 Analyzing Apache Log Viewer script Practically 08:34
Lecture 72 Apache Log Viewer script explained 05:18
Section 12: Data Persistence
Lecture 73 Introduction to Pickle files 08:33
Lecture 74 Important features in Pickle files 08:26
Lecture 75 More on Pickle Files 07:12
Lecture 76 Pickle files Continued 06:12
Lecture 77 YAML 11:12
Lecture 78 Basic Concepts on YAML 08:26
Lecture 79 ZODB 08:21
Lecture 80 Financial funds code 07:17
Lecture 81 Serialising custom classes 07:28
Lecture 82 SQlite3 08:36
Section 13: Command Line
Lecture 83 Intro to SqlAlchemy and Storm 07:42
Lecture 84 Important Concepts on SqlAlchemy and Storm 07:32
Lecture 85 Intro to CLI 05:41
Lecture 86 OptParse for simple scripts 09:53
Lecture 87 True False usage pattern 07:56
Lecture 88 Choices usage pattern is 09:37
Lecture 89 Multiple arguments usage pattern 06:37
Lecture 90 Kudzu Usage Pattern Is 08:53
Lecture 91 Hybrid Kudzu Design pattern is 09:58
Section 14: Pragmmatic Examples
Lecture 92 Integrating configuration files 10:05
Lecture 93 Managing DNS with Python 11:24
Lecture 94 Ldap 09:25
Lecture 95 Apache Log parser 12:40
Lecture 96 Important concepts in Apache Log parser 12:58
Lecture 97 Apache Log parser Continued 07:19
Lecture 98 Intro to FTP mirror Script 09:56
Lecture 99 Features in FTP mirror Script 09:49
Lecture 100 FTP mirror Script Continued 05:56
https://www.udemy.com/linux-system-administration-with-python2/
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