Faun Dev (31 results)
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Seller: BargainBookStores, Grand Rapids, MI, U.S.A.BargainBookStores
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Paperback or Softback. Condition: New. Learn Git in a Day: Everything you need, nothing you don't. Book.
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Seller: California Books, Miami, FL, U.S.A.California Books
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Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
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- Softcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
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- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Paperback. Condition: new. Paperback. The model you depend on lives on someone else's hardware. They can change the price, change the rules, or retire it entirely, and you cannot stop them.Local AI Engineering with Ollama is how you stop renting and start owning. You take the model, the price, and the rules back into your own ha…nds: run any model you want, when you want, where you want, and change how it behaves without a meter running.This is a practical book for developers who can run a command and edit a file but have no Machine Learning degree and want none. It skips the marketing and jumps into building things that run, on hardware you already own, with the network unplugged. Every command was executed on a real machine, and every output you see (JSON responses, error messages, token counts, training logs) came from an actual session, not from documentation.This book moves in one direction: from running your first model to shipping an agent that runs on your own hardware. Each chapter ends with something working, and each skill below builds on the one before it. By the end you will be able to: Understand what a model is actually doing: Tokens, predictions, weights, embeddings, attention, and the KV cache, each tied to a setting you will change.Install Ollama and size your hardware honestly: Install the runtime and tell if a model fits your RAM or VRAM before downloading.Pick, pull, and manage models: Read the Ollama and Hugging Face GGUF repos, choose quantization, and manage disk and memory.Drive Ollama from its API: Run models over HTTP from your code, and read tokens-per-second to compare on numbers.Control the context window: Size it so the model stops forgetting, and see what gets sent each turn.Operate a model under real conditions: Tune temperature, top_p, top_k, penalties, seed, keep-alive, and concurrency.Package a custom model with a Modelfile: One job, the same way every time, shipped as a single artifact.Fine-tune a model on your own data: Train Granite for English-to-SQL with QLoRA and Unsloth, then export to GGUF.Build against the Python SDK: Build Python programs with typed responses, ending in a management CLI.Build a working chat loop and see why it forgets: Write a REPL, then watch it fail to recall the last turn.Give the conversation a memory: Resend a running message list so the assistant follows the conversation.Stream replies and accept multi-line input: Print tokens as they arrive, and take multi-line prompts.Keep long chats inside the context window: Drop the oldest turns so the prompt never overflows.Summarize old turns instead of dropping them: Condense earlier messages with a second model through LangChain.Cache replies in Redis: Return repeated questions instantly, cutting latency and wasted compute.Add long-term memory that survives restarts: Wire in mem0 to recall user facts across sessions.Give the model tools to fetch live data: Add function calling, guarded against inventing numbers.Source those tools from an external MCP server: Serve tools over MCP, turning M times N into M plus N.Put a graphical interface in front of Ollama: Run Open WebUI in Docker, chat with your documents, lock it down for a team.If you can run a command and edit a file, you are qualified! Downloadable code included.So what are you waiting for to stop renting, start owning, and get a model running Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
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- Softcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
Contact seller5-star sellerCondition: New
£ 29.96
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
£ 36.49
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Paperback. Condition: new. Paperback. The model you depend on lives on someone else's hardware. They can change the price, change the rules, or retire it entirely, and you cannot stop them.Local AI Engineering with Ollama is how you stop renting and start owning. You take the model, the price, and the rules back into your own ha…nds: run any model you want, when you want, where you want, and change how it behaves without a meter running.This is a practical book for developers who can run a command and edit a file but have no Machine Learning degree and want none. It skips the marketing and jumps into building things that run, on hardware you already own, with the network unplugged. Every command was executed on a real machine, and every output you see (JSON responses, error messages, token counts, training logs) came from an actual session, not from documentation.This book moves in one direction: from running your first model to shipping an agent that runs on your own hardware. Each chapter ends with something working, and each skill below builds on the one before it. By the end you will be able to: Understand what a model is actually doing: Tokens, predictions, weights, embeddings, attention, and the KV cache, each tied to a setting you will change.Install Ollama and size your hardware honestly: Install the runtime and tell if a model fits your RAM or VRAM before downloading.Pick, pull, and manage models: Read the Ollama and Hugging Face GGUF repos, choose quantization, and manage disk and memory.Drive Ollama from its API: Run models over HTTP from your code, and read tokens-per-second to compare on numbers.Control the context window: Size it so the model stops forgetting, and see what gets sent each turn.Operate a model under real conditions: Tune temperature, top_p, top_k, penalties, seed, keep-alive, and concurrency.Package a custom model with a Modelfile: One job, the same way every time, shipped as a single artifact.Fine-tune a model on your own data: Train Granite for English-to-SQL with QLoRA and Unsloth, then export to GGUF.Build against the Python SDK: Build Python programs with typed responses, ending in a management CLI.Build a working chat loop and see why it forgets: Write a REPL, then watch it fail to recall the last turn.Give the conversation a memory: Resend a running message list so the assistant follows the conversation.Stream replies and accept multi-line input: Print tokens as they arrive, and take multi-line prompts.Keep long chats inside the context window: Drop the oldest turns so the prompt never overflows.Summarize old turns instead of dropping them: Condense earlier messages with a second model through LangChain.Cache replies in Redis: Return repeated questions instantly, cutting latency and wasted compute.Add long-term memory that survives restarts: Wire in mem0 to recall user facts across sessions.Give the model tools to fetch live data: Add function calling, guarded against inventing numbers.Source those tools from an external MCP server: Serve tools over MCP, turning M times N into M plus N.Put a graphical interface in front of Ollama: Run Open WebUI in Docker, chat with your documents, lock it down for a team.If you can run a command and edit a file, you are qualified! Downloadable code included.So what are you waiting for to stop renting, start owning, and get a Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Softcover
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contact seller5-star sellerCondition: New
£ 50.60
£ 27.43 shippingShips from Australia to U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. The model you depend on lives on someone else's hardware. They can change the price, change the rules, or retire it entirely, and you cannot stop them.Local AI Engineering with Ollama is how you stop renting and start owning. You take the model, the price, and the rules back into your own ha…nds: run any model you want, when you want, where you want, and change how it behaves without a meter running.This is a practical book for developers who can run a command and edit a file but have no Machine Learning degree and want none. It skips the marketing and jumps into building things that run, on hardware you already own, with the network unplugged. Every command was executed on a real machine, and every output you see (JSON responses, error messages, token counts, training logs) came from an actual session, not from documentation.This book moves in one direction: from running your first model to shipping an agent that runs on your own hardware. Each chapter ends with something working, and each skill below builds on the one before it. By the end you will be able to: Understand what a model is actually doing: Tokens, predictions, weights, embeddings, attention, and the KV cache, each tied to a setting you will change.Install Ollama and size your hardware honestly: Install the runtime and tell if a model fits your RAM or VRAM before downloading.Pick, pull, and manage models: Read the Ollama and Hugging Face GGUF repos, choose quantization, and manage disk and memory.Drive Ollama from its API: Run models over HTTP from your code, and read tokens-per-second to compare on numbers.Control the context window: Size it so the model stops forgetting, and see what gets sent each turn.Operate a model under real conditions: Tune temperature, top_p, top_k, penalties, seed, keep-alive, and concurrency.Package a custom model with a Modelfile: One job, the same way every time, shipped as a single artifact.Fine-tune a model on your own data: Train Granite for English-to-SQL with QLoRA and Unsloth, then export to GGUF.Build against the Python SDK: Build Python programs with typed responses, ending in a management CLI.Build a working chat loop and see why it forgets: Write a REPL, then watch it fail to recall the last turn.Give the conversation a memory: Resend a running message list so the assistant follows the conversation.Stream replies and accept multi-line input: Print tokens as they arrive, and take multi-line prompts.Keep long chats inside the context window: Drop the oldest turns so the prompt never overflows.Summarize old turns instead of dropping them: Condense earlier messages with a second model through LangChain.Cache replies in Redis: Return repeated questions instantly, cutting latency and wasted compute.Add long-term memory that survives restarts: Wire in mem0 to recall user facts across sessions.Give the model tools to fetch live data: Add function calling, guarded against inventing numbers.Source those tools from an external MCP server: Serve tools over MCP, turning M times N into M plus N.Put a graphical interface in front of Ollama: Run Open WebUI in Docker, chat with your documents, lock it down for a team.If you can run a command and edit a file, you are qualified! Downloadable code included.So what are you waiting for to stop renting, start owning, and get a Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
- Softcover
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Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contact seller5-star sellerCondition: New
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Paperback. Condition: new. Paperback. You don't actually understand Git. You memorized a few commands, and you've been getting away with it.Most developers learn Git the same broken way: copy a command from Stack Overflow, paste it, pray. It works until it doesn't. Then a merge conflict, a detached HEAD, or a mangled history sen…ds you into a panic, because you never understood the real model of what Git is doing underneath. You're not bad at Git. You were just never taught it properly.Learn Git in a Day: The Visual Guide fixes that in a single sitting.This book is neither a command reference nor a pile of recipes to memorize and forget. It's a structured, visual walkthrough that builds your understanding from the ground up, starting with why Git exists and how it thinks about your files and history, then moving into the exact workflows you'll use every single day on a real team.You'll learn by doing. Throughout the book, you build a small calculator app, not because the app matters, but because it gives you real files to track, real commits to make, and real conflicts to resolve. Each chapter adds a feature and introduces a new concept, so the project grows as your skills do.By the end, you'll be able to: Understand the three places your files live: your working directory, the staging area, and the repository, and move changes between them with total confidenceBrowse your full project history and inspect any past version in detailUndo edits, unstage files, and reverse saved changes without rewriting history or losing workStash unfinished work, switch tasks, and pick up exactly where you left offUse branches to juggle multiple features at once without them collidingMerge work cleanly and resolve conflicts when two people change the same linesConnect to a remote, authenticate securely without passwords, and push and pull like a proClone projects, open pull requests, and follow the professional branch-review-merge workflowRebase for a clean linear history, and know exactly when rebasing is safe and when it will break things for your teamWrite ignore rules, stop tracking files committed by mistake, tag releases, create aliases, and trace any line of code back to who changed itAnd much more!No prior Git or version control experience is assumed. You don't need to know what a commit is, what a branch does, or why any of it matters yet. If you've written even a small script in any language, you're ready!This book is for you if: You've heard of Git, maybe felt intimidated by it, and never sat down to properly learn itYou're a student, self-taught programmer, or career switcher who wants to stop avoiding GitYou already use Git but feel like you're faking it, and you want actually to understand the machineGit is not optional in tech: it's the baseline. Solo developers use it, teams of hundreds ship production code with it, and every serious software company on the planet runs on it. Whether you're heading into a developer, DevOps, or data science role, these are the skills you'll use on day one and every day after.Stop guessing and panicking; spend one focused day, and walk away understanding Git well enough to handle situations you've never even seen before. You've faked your way through Git with copy-pasted commands. It works until it doesn't. This visual build-as-you-go guide takes you from 0 to a professional workflow in 1 day, so you understand what Git is doing instead of guessing. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Softcover
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
£ 33.49
£ 37.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. You know Ansible. Your playbooks work. But your team is drowning in YAML sprawl, missed schedules, untracked changes, and "who ran what when" questions nobody can answer.AWX fixes this if you know how to wield it.AWX in Action: Ansible Orchestration at Scale is the practical guide for Ansibl…e users ready to graduate from command-line scripts to a production-grade automation platform. AWX is the most powerful way to scale Ansible beyond CLI execution. But the official docs are dense, the moving parts are many, and most teams adopt AWX without ever using half of what it can do.This book changes that.Written by Aymen El Amri - cloud-native engineer with 15+ years in production systems, founder of FAUN.dev, and recognized by TechBeacon among the top 100 DevOps professionals to follow - this guide distills years of consulting engagements and battle-tested workshop teaching into a single hands-on reference.What you'll learnIn this guide, you'll work through AWX, the web-based interface for Ansible, and learn how to use it to scale your automation. Here's what you'll cover: Installation and Configuration: Set up AWX in your environment using Docker or Kubernetes. The official docs are overwhelming; this guide cuts to a clean, repeatable setup.Organizations, Users, and Teams: Structure AWX with organizations, users, and teams to manage permissions and secure your automation.Hosts and Inventories: Create and manage static and dynamic (e.g., AWS) inventories, group hosts, add credentials, and use constructed inventories for advanced cases.Projects, Templates, and Jobs: The core of AWX. Create projects, configure job templates, run ad hoc commands, launch and schedule jobs, and orchestrate complex flows with workflow templates and surveys. You'll also cover signature validation, project sync, notifications, and job artifacts, with practical examples and best practices throughout.AWX CLI: Install and authenticate the CLI, generate organization-scoped tokens, and manage, import, and export resources.Execution Environments and Instances: Build custom execution environments with Ansible Builder and Runner. Manage execution and hop instances, instance groups, clustering, container groups, and capacity, with the internals explained so you can scale and run AWX in HA.Settings: Configure authentication, job settings, logging, cache, and debugging.Monitoring and Status Views: Use the dashboard, jobs, schedules, activity streams, management jobs, notifications, logging, and metrics, including a head start on Prometheus monitoring.Real-World Example: Tie it together. Use custom execution environments and external roles, build a workflow with scheduling and notifications, and launch jobs from the AWX CLI, the AWX API, and your CI pipelines.By the end, you'll have what you need to roll out AWX confidently, solo or with a team.Who this book is forExperienced Ansible users, DevOps engineers, SREs, sysadmins, and platform teams who want to move beyond ansible-playbook and operate Ansible like production infrastructure - not just script it.What sets this book apartBuilt from real consulting engagements and a battle-tested workshop, not vendor marketing. Every chapter explains not just how AWX works but why - so you can debug, extend, and operate it long after you finish reading. The missi Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Softcover
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contact seller5-star sellerCondition: New
£ 46.88
£ 27.43 shippingShips from Australia to U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. You know Ansible. Your playbooks work. But your team is drowning in YAML sprawl, missed schedules, untracked changes, and "who ran what when" questions nobody can answer.AWX fixes this if you know how to wield it.AWX in Action: Ansible Orchestration at Scale is the practical guide for Ansibl…e users ready to graduate from command-line scripts to a production-grade automation platform. AWX is the most powerful way to scale Ansible beyond CLI execution. But the official docs are dense, the moving parts are many, and most teams adopt AWX without ever using half of what it can do.This book changes that.Written by Aymen El Amri - cloud-native engineer with 15+ years in production systems, founder of FAUN.dev, and recognized by TechBeacon among the top 100 DevOps professionals to follow - this guide distills years of consulting engagements and battle-tested workshop teaching into a single hands-on reference.What you'll learnIn this guide, you'll work through AWX, the web-based interface for Ansible, and learn how to use it to scale your automation. Here's what you'll cover: Installation and Configuration: Set up AWX in your environment using Docker or Kubernetes. The official docs are overwhelming; this guide cuts to a clean, repeatable setup.Organizations, Users, and Teams: Structure AWX with organizations, users, and teams to manage permissions and secure your automation.Hosts and Inventories: Create and manage static and dynamic (e.g., AWS) inventories, group hosts, add credentials, and use constructed inventories for advanced cases.Projects, Templates, and Jobs: The core of AWX. Create projects, configure job templates, run ad hoc commands, launch and schedule jobs, and orchestrate complex flows with workflow templates and surveys. You'll also cover signature validation, project sync, notifications, and job artifacts, with practical examples and best practices throughout.AWX CLI: Install and authenticate the CLI, generate organization-scoped tokens, and manage, import, and export resources.Execution Environments and Instances: Build custom execution environments with Ansible Builder and Runner. Manage execution and hop instances, instance groups, clustering, container groups, and capacity, with the internals explained so you can scale and run AWX in HA.Settings: Configure authentication, job settings, logging, cache, and debugging.Monitoring and Status Views: Use the dashboard, jobs, schedules, activity streams, management jobs, notifications, logging, and metrics, including a head start on Prometheus monitoring.Real-World Example: Tie it together. Use custom execution environments and external roles, build a workflow with scheduling and notifications, and launch jobs from the AWX CLI, the AWX API, and your CI pipelines.By the end, you'll have what you need to roll out AWX confidently, solo or with a team.Who this book is forExperienced Ansible users, DevOps engineers, SREs, sysadmins, and platform teams who want to move beyond ansible-playbook and operate Ansible like production infrastructure - not just script it.What sets this book apartBuilt from real consulting engagements and a battle-tested workshop, not vendor marketing. Every chapter explains not just how AWX works but why - so you can debug, extend, and operate it long after you finish reading. The missi Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
- Softcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contact seller5-star sellerCondition: New
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Paperback. Condition: new. Paperback. Most Argo CD tutorials hand you a cluster someone else built, a sample app, one argocd app sync, and a green checkmark. Then you try it at work and the checkmark turns out to have taught you nothing. You do not know why the repo-server rendered that manifest, what a sync wave orders, how an…RBAC rule locks a teammate out of the wrong project, or what happens to your running pods when you delete an app.This book takes the other route. You start from empty servers and finish with an automated GitOps pipeline you built yourself. Nothing is pre-baked.The "hard way" is not difficulty for its own sake. It is doing the work yourself.What you will buildYou begin with bare servers and end with a pipeline that deploys on every Git push. Along the way you will: Provision infra with Terraform, bootstrap a cluster, and deploy an app onto it.Trace a change from a Git commit through Argo's reconciliation loop to a running resource, and learn what each component does and what breaks when it fails.Install Argo, choosing deliberately between the full, core, and custom installs, then log in from the CLI and add more clusters.Create your first Application from the CLI, then redefine the same setup as declarative manifests you keep in Git.Configure sync policy on purpose: automated sync, self-healing, pruning, retries and backoff, namespace creation, and more.Run your own code around a sync with resource hooks and sync phases, order resources with sync waves, and learn when to use hooks and when not to.Scope a teammate to exactly one project with RBAC, then verify the grant.Package your apps as a Helm chart and have Argo manage it as a versioned release.Generate many Apps from one definition with AppSets.Build a multi-branch pipeline that gives every Git branch its own live environment.And more!This book assumes you can read a Deployment, run kubectl, and open a pull request without looking it up.Every code listing (+ full-color diagram, and screenshot) lives in the companion kit. Build a real GitOps pipeline with Argo CD, from empty servers to automated deploys. Hands-on Kubernetes, raw manifests, sync policy, hooks, sync waves, RBAC, Helm, CI/CD and ApplicationSets. Companion kit with code, diagrams, screenshots. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Softcover
- Print on Demand
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contact seller5-star sellerCondition: New
£ 23.83
£ 27.43 shippingShips from Australia to U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. You don't actually understand Git. You memorized a few commands, and you've been getting away with it.Most developers learn Git the same broken way: copy a command from Stack Overflow, paste it, pray. It works until it doesn't. Then a merge conflict, a detached HEAD, or a mangled history sen…ds you into a panic, because you never understood the real model of what Git is doing underneath. You're not bad at Git. You were just never taught it properly.Learn Git in a Day: The Visual Guide fixes that in a single sitting.This book is neither a command reference nor a pile of recipes to memorize and forget. It's a structured, visual walkthrough that builds your understanding from the ground up, starting with why Git exists and how it thinks about your files and history, then moving into the exact workflows you'll use every single day on a real team.You'll learn by doing. Throughout the book, you build a small calculator app, not because the app matters, but because it gives you real files to track, real commits to make, and real conflicts to resolve. Each chapter adds a feature and introduces a new concept, so the project grows as your skills do.By the end, you'll be able to: Understand the three places your files live: your working directory, the staging area, and the repository, and move changes between them with total confidenceBrowse your full project history and inspect any past version in detailUndo edits, unstage files, and reverse saved changes without rewriting history or losing workStash unfinished work, switch tasks, and pick up exactly where you left offUse branches to juggle multiple features at once without them collidingMerge work cleanly and resolve conflicts when two people change the same linesConnect to a remote, authenticate securely without passwords, and push and pull like a proClone projects, open pull requests, and follow the professional branch-review-merge workflowRebase for a clean linear history, and know exactly when rebasing is safe and when it will break things for your teamWrite ignore rules, stop tracking files committed by mistake, tag releases, create aliases, and trace any line of code back to who changed itAnd much more!No prior Git or version control experience is assumed. You don't need to know what a commit is, what a branch does, or why any of it matters yet. If you've written even a small script in any language, you're ready!This book is for you if: You've heard of Git, maybe felt intimidated by it, and never sat down to properly learn itYou're a student, self-taught programmer, or career switcher who wants to stop avoiding GitYou already use Git but feel like you're faking it, and you want actually to understand the machineGit is not optional in tech: it's the baseline. Solo developers use it, teams of hundreds ship production code with it, and every serious software company on the planet runs on it. Whether you're heading into a developer, DevOps, or data science role, these are the skills you'll use on day one and every day after.Stop guessing and panicking; spend one focused day, and walk away understanding Git well enough to handle situations you've never even seen before. You've faked your way through Git with copy-pasted commands. It works until it doesn't. This visual build-as-you-go guide takes you from 0 to a professional workflow in 1 day, so you understand what Git is doing instead of guessing. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
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Paperback. Condition: new. Paperback. You don't actually understand Git. You memorized a few commands, and you've been getting away with it.Most developers learn Git the same broken way: copy a command from Stack Overflow, paste it, pray. It works until it doesn't. Then a merge conflict, a detached HEAD, or a mangled history sen…ds you into a panic, because you never understood the real model of what Git is doing underneath. You're not bad at Git. You were just never taught it properly.Learn Git in a Day: The Visual Guide fixes that in a single sitting.This book is neither a command reference nor a pile of recipes to memorize and forget. It's a structured, visual walkthrough that builds your understanding from the ground up, starting with why Git exists and how it thinks about your files and history, then moving into the exact workflows you'll use every single day on a real team.You'll learn by doing. Throughout the book, you build a small calculator app, not because the app matters, but because it gives you real files to track, real commits to make, and real conflicts to resolve. Each chapter adds a feature and introduces a new concept, so the project grows as your skills do.By the end, you'll be able to: Understand the three places your files live: your working directory, the staging area, and the repository, and move changes between them with total confidenceBrowse your full project history and inspect any past version in detailUndo edits, unstage files, and reverse saved changes without rewriting history or losing workStash unfinished work, switch tasks, and pick up exactly where you left offUse branches to juggle multiple features at once without them collidingMerge work cleanly and resolve conflicts when two people change the same linesConnect to a remote, authenticate securely without passwords, and push and pull like a proClone projects, open pull requests, and follow the professional branch-review-merge workflowRebase for a clean linear history, and know exactly when rebasing is safe and when it will break things for your teamWrite ignore rules, stop tracking files committed by mistake, tag releases, create aliases, and trace any line of code back to who changed itAnd much more!No prior Git or version control experience is assumed. You don't need to know what a commit is, what a branch does, or why any of it matters yet. If you've written even a small script in any language, you're ready!This book is for you if: You've heard of Git, maybe felt intimidated by it, and never sat down to properly learn itYou're a student, self-taught programmer, or career switcher who wants to stop avoiding GitYou already use Git but feel like you're faking it, and you want actually to understand the machineGit is not optional in tech: it's the baseline. Solo developers use it, teams of hundreds ship production code with it, and every serious software company on the planet runs on it. Whether you're heading into a developer, DevOps, or data science role, these are the skills you'll use on day one and every day after.Stop guessing and panicking; spend one focused day, and walk away understanding Git well enough to handle situations you've never even seen before. You've faked your way through Git with copy-pasted commands. It works until it doesn't. This visual build-as-you-go guide takes you from 0 to a professional workflow in 1 day, so you understand what Git is doing instead of guessing. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Paperback. Condition: new. Paperback. Most Argo CD tutorials hand you a cluster someone else built, a sample app, one argocd app sync, and a green checkmark. Then you try it at work and the checkmark turns out to have taught you nothing. You do not know why the repo-server rendered that manifest, what a sync wave orders, how an…RBAC rule locks a teammate out of the wrong project, or what happens to your running pods when you delete an app.This book takes the other route. You start from empty servers and finish with an automated GitOps pipeline you built yourself. Nothing is pre-baked.The "hard way" is not difficulty for its own sake. It is doing the work yourself.What you will buildYou begin with bare servers and end with a pipeline that deploys on every Git push. Along the way you will: Provision infra with Terraform, bootstrap a cluster, and deploy an app onto it.Trace a change from a Git commit through Argo's reconciliation loop to a running resource, and learn what each component does and what breaks when it fails.Install Argo, choosing deliberately between the full, core, and custom installs, then log in from the CLI and add more clusters.Create your first Application from the CLI, then redefine the same setup as declarative manifests you keep in Git.Configure sync policy on purpose: automated sync, self-healing, pruning, retries and backoff, namespace creation, and more.Run your own code around a sync with resource hooks and sync phases, order resources with sync waves, and learn when to use hooks and when not to.Scope a teammate to exactly one project with RBAC, then verify the grant.Package your apps as a Helm chart and have Argo manage it as a versioned release.Generate many Apps from one definition with AppSets.Build a multi-branch pipeline that gives every Git branch its own live environment.And more!This book assumes you can read a Deployment, run kubectl, and open a pull request without looking it up.Every code listing (+ full-color diagram, and screenshot) lives in the companion kit. Build a real GitOps pipeline with Argo CD, from empty servers to automated deploys. Hands-on Kubernetes, raw manifests, sync policy, hooks, sync waves, RBAC, Helm, CI/CD and ApplicationSets. Companion kit with code, diagrams, screenshots. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Paperback. Condition: new. Paperback. Most Argo CD tutorials hand you a cluster someone else built, a sample app, one argocd app sync, and a green checkmark. Then you try it at work and the checkmark turns out to have taught you nothing. You do not know why the repo-server rendered that manifest, what a sync wave orders, how an…RBAC rule locks a teammate out of the wrong project, or what happens to your running pods when you delete an app.This book takes the other route. You start from empty servers and finish with an automated GitOps pipeline you built yourself. Nothing is pre-baked.The "hard way" is not difficulty for its own sake. It is doing the work yourself.What you will buildYou begin with bare servers and end with a pipeline that deploys on every Git push. Along the way you will: Provision infra with Terraform, bootstrap a cluster, and deploy an app onto it.Trace a change from a Git commit through Argo's reconciliation loop to a running resource, and learn what each component does and what breaks when it fails.Install Argo, choosing deliberately between the full, core, and custom installs, then log in from the CLI and add more clusters.Create your first Application from the CLI, then redefine the same setup as declarative manifests you keep in Git.Configure sync policy on purpose: automated sync, self-healing, pruning, retries and backoff, namespace creation, and more.Run your own code around a sync with resource hooks and sync phases, order resources with sync waves, and learn when to use hooks and when not to.Scope a teammate to exactly one project with RBAC, then verify the grant.Package your apps as a Helm chart and have Argo manage it as a versioned release.Generate many Apps from one definition with AppSets.Build a multi-branch pipeline that gives every Git branch its own live environment.And more!This book assumes you can read a Deployment, run kubectl, and open a pull request without looking it up.Every code listing (+ full-color diagram, and screenshot) lives in the companion kit. Build a real GitOps pipeline with Argo CD, from empty servers to automated deploys. Hands-on Kubernetes, raw manifests, sync policy, hooks, sync waves, RBAC, Helm, CI/CD and ApplicationSets. Companion kit with code, diagrams, screenshots. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Taschenbuch. Condition: Neu. Learn Git in a Day | Everything you need, nothing you don't | Aymen El Amri | Taschenbuch | Englisch | 2026 | [.] | EAN 9782488111065 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Most Argo CD tutorials hand you a cluster someone else built, a sample app, one argocd app sync, and a green checkmark. Then you try it at work and the checkmark turns out to have taught you nothing. You do not know why the repo-server r…endered that manifest, what a sync wave orders, how an RBAC rule locks a teammate out of the wrong project, or what happens to your running pods when you delete an app.This book takes the other route. You start from empty servers and finish with an automated GitOps pipeline you built yourself. Nothing is pre-baked.The 'hard way' is not difficulty for its own sake. It is doing the work yourself.What you will buildYou begin with bare servers and end with a pipeline that deploys on every Git push. Along the way you will:Provision infra with Terraform, bootstrap a cluster, and deploy an app onto it.Trace a change from a Git commit through Argo's reconciliation loop to a running resource, and learn what each component does and what breaks when it fails.Install Argo, choosing deliberately between the full, core, and custom installs, then log in from the CLI and add more clusters.Create your first Application from the CLI, then redefine the same setup as declarative manifests you keep in Git.Configure sync policy on purpose: automated sync, self-healing, pruning, retries and backoff, namespace creation, and more.Run your own code around a sync with resource hooks and sync phases, order resources with sync waves, and learn when to use hooks and when not to.Scope a teammate to exactly one project with RBAC, then verify the grant.Package your apps as a Helm chart and have Argo manage it as a versioned release.Generate many Apps from one definition with AppSets.Build a multi-branch pipeline that gives every Git branch its own live environment.And more!This book assumes you can read a Deployment, run kubectl, and open a pull request without looking it up.Every code listing (+ full-color diagram, and screenshot) lives in the companion kit.
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Taschenbuch. Condition: Neu. GitOps the Hard Way, with Argo CD | Build Real GitOps Pipelines From Empty Clusters to Automated Deploys | Aymen El Amri | Taschenbuch | Englisch | 2026 | [.] | EAN 9782488111034 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preig…u Print on Demand.
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Taschenbuch. Condition: Neu. Local AI Engineering with Ollama | Run, understand, customize, fine-tune, and build agentic apps on your own hardware | Aymen El Amri | Taschenbuch | Englisch | 2026 | [.] | EAN 9782488111089 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | An…bieter: preigu Print on Demand.
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