Couverture de From Cover to Code

From Cover to Code

From Cover to Code

De : Cover to Code
Écouter gratuitement

À propos de ce contenu audio

 From Cover to Code is a technology book club! In each season of the show, hosts Angela Andrews and Michael Jenkins read tech books, try out the code, and discuss what they learn. Expect practical takeaways and lively conversations on software development, artificial intelligence, cloud computing, and more.2025 Art Science
Les membres Amazon Prime bénéficient automatiquement de 2 livres audio offerts chez Audible.

Vous êtes membre Amazon Prime ?

Bénéficiez automatiquement de 2 livres audio offerts.
Bonne écoute !
    Épisodes
    • S3E6: Next Level DevOps with Python

      S3E6: Next Level DevOps with Python
      Nov 12 2025
      From Cover to Code — S3E6: Next-Level DevOps with Python

      In this Season 3 finale, Angela and Michael close out "Hands-On Python for DevOps" with an in-depth conversation about Chapter 13 — "The Tools to Take Your DevOps to the Next Level". They explore advanced automation techniques, real-world monitoring strategies, and modern troubleshooting workflows that help teams scale their DevOps practices with confidence.

      The hosts dig into step functions, observability stacks, event-driven operations, and the growing role of AI tools that support high-velocity engineering teams. They also reflect on the biggest lessons from this season — from infrastructure automation to MLOps — and how the themes of the book connect to their day-to-day work as practitioners and creators.

      Beyond the chapter, Angela and Michael share updates on AfroTech, community highlights, upcoming podcast projects, and the exciting future of "From Cover to Code" as they prepare for Season 4.

      The book: https://www.oreilly.com/library/view/hands-on-python-for/9781835081167/B21320_01.xhtml
      The code: https://github.com/PacktPublishing/Hands-On-Python-for-DevOps/tree/main

      Video Chapters:

      00:00 Welcome & Opening Banter
      01:00 Wrapping Up the Book
      05:18 Chapter 13: Advanced Automation Tools
      11:29 Monitoring with Grafana & Prometheus
      14:48 Troubleshooting & Event Response Strategies
      26:14 AfroTech Recap
      32:54 Connecting with other Black Tech Creators on https://blktechplus.com/
      36:40 Expanding to Spotify
      43:00 Looking Ahead to Season 4

      Your Hosts:
      Angela Andrews – @scooterphoenix
      Michael Jenkins – @managedkaos

      Don’t forget to like, subscribe, and join the conversation! Share your takeaways from this season and let us know what books you’d love to see in Season 4.



      Find us online at covertocode.com.

      Hosted by:
      • Angela A. @scooterphoenix
      • Michael J. @managedkaos ​
      Afficher plus Afficher moins
      45 min
    • S3E5: Python for MLOps, DataOps, and Infrastructure as Code

      S3E5: Python for MLOps, DataOps, and Infrastructure as Code
      Oct 25 2025
      Angela Andrews and Michael Jenkins continue their journey through *Hands-On Python for DevOps* with a deep dive into Chapters 11 and 12 — exploring how Python bridges the gap between data science, operations, and infrastructure management.

      This episode connects the dots between MLOps, DataOps, and Infrastructure as Code (IaC) — showing how Python’s simplicity and versatility make it an essential tool for automating data workflows, deploying machine learning models, and defining infrastructure reproducibly.

      Expect lively discussion, insightful quotes, and practical takeaways from real-world DevOps experience.

      Book Chapters Covered

      - Chapter 11: MLOps and DataOps
      - Chapter 12: Python and Infrastructure as Code (IaC)

      Video & Podcast Chapters

      00:00 Welcome and Episode Setup
      03:00 The Future Is Now – AI and Career Differentiation
      06:30 Why Python Dominates DataOps and MLOps
      10:45 Working with Data and the Power of Pandas
      14:15 The Three V’s of Data Complexity: Velocity, Volume & Variety
      19:30 Streaming Data and Real-Time Processing with Flink and Pandas
      25:00 AI Evolution and How Tech Books Keep Up
      32:30 Understanding Infrastructure as Code (IaC)
      36:00 Salt vs Ansible vs Terraform SDK – Python in IaC Tools
      43:30 Community Shout-Outs and Next Episode Preview

      Key Takeaways

      - Python is the universal connector between DevOps, DataOps, and MLOps — powering automation, analytics, and infrastructure.
      - The Three V’s (Velocity, Volume, Variety) define modern data challenges; Python libraries like Pandas and Flink help manage them efficiently.
      - Infrastructure as Code (IaC) transforms how teams manage cloud resources — codifying provisioning, replication, and scaling for AWS, Azure, and GCP.
      - Tools like Terraform + Ansible deliver the perfect one-two punch for deployment and configuration.
      - Even as AI-assisted coding evolves, foundational knowledge still matters. Understanding the “nuts and bolts” ensures better troubleshooting and design.
      - The hosts reflect on enduring classics like "UNIX in a Nutshell" and discuss how agile digital publishing keeps technical learning relevant.

      🔗 Resource Links

      📘 The Book — "Hands-On Python for DevOps"

      💻 The Code Repository: PacktPublishing/Hands-On-Python-for-DevOps

      Conferences:


      • BITCon
      • Afrotech
      • RenderATL

      🙌 Join the Conversation

      Don’t forget to like, subscribe, and comment to share your own experiences with Python, MLOps, and IaC.

      Follow the hashtag #CoverToCode on LinkedIn and YouTube to catch upcoming discussions — next up: “The Tools to Take Your DevOps to the Next Level.”

      Find us online at covertocode.com.

      Hosted by:
      • Angela A. @scooterphoenix
      • Michael J. @managedkaos ​
      Afficher plus Afficher moins
      48 min
    • S3E4: Using Python in CI/CD Pipelines

      S3E4: Using Python in CI/CD Pipelines
      Oct 19 2025
      Angela and Michael are back with another deep dive into Hands-On Python for DevOps!
      In this episode, they explore Chapters 9 and 10 — Using Python for CI/CD Pipelines and Common DevOps Use Cases in Big Companies.

      They unpack how Python streamlines continuous integration and delivery, making pipelines faster, more reliable, and easier to maintain. Then, they look at how major organizations apply DevOps and automation principles at scale — from Samsung’s data platform overhaul to MLB’s pitch-clock innovation — and what we can all learn from those approaches.

      Expect 🔥 insights, practical pipeline breakdowns, and lively discussion from two DevOps practitioners who live and breathe this stuff.

      Book chapters covered in this episode
      🔹 Chapter 9: Using Python for CI/CD Pipelines
      🔹 Chapter 10: Common DevOps Use Cases in Big Companies

      Video Chapters
      00:00 Welcome & Opening Banter
      02:45 Setting the Stage – Chapters 9 & 10 Overview
      06:30 Why CI/CD Is Missing from Most Formal Education
      09:35 The Doug Philosophy – “Do More and You’ll Learn More”
      17:20 Michael’s 7-Step CI/CD Pipeline Breakdown
      23:00 Tools of the Trade – Linting, Testing, and Packaging in Python
      29:00 Deployment Rollbacks and Blue-Green Strategies
      33:00 Business Use Cases: Samsung, Intertek, and Major League Baseball
      48:10 Reflections, Lessons Learned & What’s Next (MLOps + IaC Preview)
      51:00 Angela’s Terraform Tech Talk & Closing Thoughts

      Resources
      📘 The book: https://www.oreilly.com/library/view/hands-on-python-for/9781835081167/B21320_01.xhtml
      💻 The code repository: https://github.com/PacktPublishing/Hands-On-Python-for-DevOps/tree/main
      🧪 The demo from this episode: https://docs.google.com/presentation/d/1ci087ShNepkFJLO1GvshIXO8TuMD5_E-dcKlnJu4BR8/edit?usp=sharing

      Don’t forget to like, subscribe, and hit the bell so you never miss an episode of From Cover to Code!
      Join the conversation in the comments; we want to hear how you’re using Python in your own CI/CD pipelines.


      Find us online at covertocode.com.

      Hosted by:
      • Angela A. @scooterphoenix
      • Michael J. @managedkaos ​
      Afficher plus Afficher moins
      53 min
    Aucun commentaire pour le moment