Python 4000: Linux Commands & DevOps Automation

Introduce dev ops concepts, best practices, and the files and paths, outlining three major themes to guide ongoing software development in operational realms.

Define dev ops by comparing development and operations, using a truth table, and explore how Python scripting enables cross-platform automation for reliable, ongoing operations.

Explore the key dev ops roles and responsibilities, from developers and operators to requirements gatherers, scribes, architects, and managers, and how stakeholders and customers shape software delivery.

Explore essential linux commands and shells in a devops context, using sigwin on Windows, and master ls options, clear, whoami, pwd, and man for hands-on shell proficiency.

Navigate the linux filesystem from the home directory using ls and man, understand inodes and directories, and perform recursive listings with ls -R and file names, times, and dates.

Master interpreting ls -la output in Linux, distinguish directory vs file, and decode permissions for user, group, and others, including links, inode, owner, size, and timestamp.

Echo text with proper quoting to control variable expansion, including the path variable, and compare how Linux and Windows handle path separators and slashes.

Learn to create and view files with echo and cat, concatenate multiple files, use wildcards to match text files, and practice a starter set of commands.

Install sig win support on your path to run its commands from Windows or Linux-like systems. Update your bin path and explore a Python solution to who am I.

Explore how to leverage Python in dev ops to run shell commands on Linux and Windows, using the Popen interface, and manage basics like whoami, ls, clear, and chmod.

Learn to use Popen from the os module to run commands like ls -la and explore ANSI escape sequences for terminal control across Linux and Windows.

Collaborate by creating three text files in your current directory, then use the concatenation command to merge them and display the combined output in a Python program.

Learn how to re-use the cat command from Python to concatenate files across Windows and UNIX, manage present working directories, and handle cross-platform line endings for dev ops.

Review Linux commands and DevOps automation across research, integration, and testing phases, emphasizing DevOps balance. Practice cross-platform commands and automate research using Python.

Learn to use stat, touch, and chmod to manipulate files, folders, and nodes, enabling DevOps automation and cross-platform integration of Python and ops tooling.

Learn to open, read, and write files in Python, inspect metadata with stat, and manage timestamps with touch and chmod across platforms.

Use Python's os.stat() to retrieve file metadata—user and group IDs, times, mode, size, links, attributes, and device—across platforms. Decode timestamps and inspect a file's creation date and size.

Explore how to complete an os.stat() based solution by printing the SD size and a formatted string with year, month, and day fields, ensuring accurate reporting and proper line endings.

Learn to use mv and rm for file management, understand whatis return codes, and leverage the backup option and Python's subprocess.Popen to run commands efficiently in DevOps workflows.

Explore how to use locate, whereis, and find on Linux systems (Ubuntu/Debian styles) to navigate directories, create and remove folders, and manage files with wildcards and recursive delete.

Explores using os.popen to manage directories, inspect return codes, and run shell commands, while comparing native Python, the shell, and external commands on the system path.

Learn to locate external commands across multiple versions with whereis, locate, and find, and compare Unix path search with Windows attribute search on the C drive.

Master how locate and find differ in speed and scope by indexing file systems, and learn to use update db to maintain a fast, searchable database for devops searches.

Compare python tooling with posix commands for locating files, using updatedb, locate, and find. Time and justify whether to use os.popen, python workflows, or os.walk for devops tasks.

Explore timing of database creation and file search operations. Compare locate, find, and Python walks across Linux, Windows, and POSIX to reveal cross-platform performance differences.

Explore unlink's system call across C, C++, and Python, including open and file descriptor usage, and use cal for calendars with file comparison via cmp.

Master hex dumps and ASCII views with the od utility, switching between hexadecimal and ASCII representations, and practice piping output to more or a file for quick data inspection.

Explore how the cmp command compares two files byte by byte to reveal differences and offsets, then use pipes and the more command for hex dumps and text views.

Explore line-oriented Linux commands for comparing and sorting files, using sort on input files and comm and uniq to find differences and common lines, with piping and options 1–3.

Explore how diff and delta notation detect changes between two or three files, produce prescriptive line changes, and reveal explicit differences with left and right syntax across platforms.

Explore how to use cut and paste commands and piping from cow to cut, using 1-based column identifiers and the -c option to extract multiple columns.

Join two text files side-by-side with the paste command using a tab delimiter, compare inputs via a pipe, and apply Python-like slicing to extract Friday columns from a calendar file.

Demonstrate extracting columns 15, 37, and 59 from a text file using POSIX cut -c, and reproduce the same results with Python slicing in a lab.

Explore a challenger solution that creates a file in a Windows directory, uses shell true, and applies zero-based Python slicing to extract columns 14–17, 36–39, 58–61 with zero return code.

Compare textual and graphical interfaces for ops tools, and build a Python logging demo using argv parameters, datetime, RFC formatting, and static methods.

Learn to run a Python program with command line arguments by importing os, printing received parameters, and handling sys.argv on Windows and POSIX systems, including shebang execution.

Explore how to use Python's argparse module to define and parse command-line arguments, including short and long options, help strings, and simple actions like store_true for practical devops.

Use python's argparse to drive create and list operations in the main loop, with default boolean values and a crud workflow, while logging to the present working directory logger.log.

Explore how to model and implement create, read, update, delete, and search operations for log messages using a console-based approach with arg parse, including handling messages, remainders, and help.