Preface 1. Python Essentials for DevOps Installing and Running Python The Python Shell Jupyter Notebooks Procedural Programming Variables Basic Math Comments Built-in Functions Print Range Execution Control if/elif/else for Loops while Loops Handling Exceptions Built-in Objects What Is an Object? Object Methods and Attributes Sequences Functions Anatomy of a Function Functions as Objects Anonymous Functions Using Regular Expressions Searching Character Sets Character Classes Groups Named Groups Find All Find Iterator Substitution Compiling Lazy Evaluation Generators Generator Comprehensions More IPython Features Using IPython to Run Unix Shell Commands Exercises 2. Automating Files and the Filesystem Reading and Writing Files Using Regular Expressions to Search Text Dealing with Large Files Encrypting Text Hashing with Hashlib Encryption with Cryptography The os Module Managing Files and Directories Using os.path Walking Directory Trees Using os.walk Paths as Objects with Pathlib 3. Working with the Command Line Working with the Shell Talking to the Interpreter with the sys Module Dealing with the Operating System Using the os Module Spawn Processes with the subprocess Module Creating Command-Line Tools Using sys.argv Using argparse Using click …… 4. Useful Linux Utilities 5. Package Management 6. Continuous Integration and Continuous Deploymen 7. Monitoring and Logging 9. Cloud Computing 10. Infrastructure as Code 11. Container Technologies: Docker and Docker Compose 12. Container Orchestration: Kubernetes 13. Serverless Technoloaies 14. MLOps and Machine learning Engineering 15. Data Engineering 16. DevOps War Stories and Interviews Index
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