Merge pull request #2440 from jasonrandrews/review

spelling and category updates

Author: jasonrandrews

.wordlist.txt

@@ -4978,3 +4978,65 @@ multidisks
 testsh
 uops
 subgraph
+ArgumentList
+Autocannon
+Buildkite
+CimInstance
+ClassName
+DischargeRate
+FPM
+FastCGI
+FilePath
+Halide’s
+HasExited
+ImportError
+NIC’s
+NVM
+NodeJS
+Opcache
+OpenBMC’s
+PHPBench
+ParentProcessId
+PassThru
+ProcessID
+QAT
+REPL
+RaceNight
+RemainingCapacity
+Ruifeng
+Xdebug
+appPid
+argList
+autocannon
+autoexit
+autoloading
+benchArrayPush
+benchStringConcat
+buildkite
+childPid
+childProcess
+cmdLine
+eq
+exePath
+ffplay
+fpm
+gpl
+hh
+mW
+mWh
+mbstring
+memPriv
+npmjs
+opcache
+outHead
+outLine
+outputFile
+phar
+phpbench
+phpinfo
+utf
+vesion
+wwwrun
+xdebug
+zoneIdentifier
+zypper

content/learning-paths/embedded-and-microcontrollers/_index.md

@@ -52,7 +52,7 @@ tools_software_languages_filter:
 - DSTREAM: 2
 - Edge AI: 2
 - Edge Impulse: 1
-- ExecuTorch: 3
+- ExecuTorch: 4
 - FastAPI: 1
 - FPGA: 1
 - Fusion 360: 1

content/learning-paths/laptops-and-desktops/_index.md

@@ -11,11 +11,11 @@ operatingsystems_filter:
 - ChromeOS: 2
 - Linux: 34
 - macOS: 9
-- Windows: 45
+- Windows: 46
 subjects_filter:
 - CI-CD: 5
 - Containers and Virtualization: 7
-- Migration to Arm: 29
+- Migration to Arm: 30
 - ML: 2
 - Performance and Architecture: 27
 subtitle: Create and migrate apps for power efficient performance
@@ -38,6 +38,7 @@ tools_software_languages_filter:
 - CSS: 1
 - Daytona: 1
 - Docker: 5
+- FFmpeg: 1
 - GCC: 12
 - Git: 1
 - GitHub: 3
@@ -62,6 +63,7 @@ tools_software_languages_filter:
 - ONNX Runtime: 1
 - OpenCV: 1
 - perf: 4
+- PowerShell: 1
 - Python: 6
 - QEMU: 1
 - Qt: 2

content/learning-paths/laptops-and-desktops/win-resource-ps1/how-to-1.md

@@ -38,7 +38,7 @@ The downloaded video file is in YUV raw format, which means playback of the vide
 
 Use `ffmpeg.exe` to compress the YUV raw video with the x265 encoder and convert the file format to `.mp4`. 
 
-Assuming you downloaded the files and extraced them in the current directory, open a terminal and run the following command:
+Assuming you downloaded the files and extracted them in the current directory, open a terminal and run the following command:
 
 ```console
 ffmpeg-n7.1.1-56-gc2184b65d2-win64-gpl-7.1\ffmpeg-n7.1.1-56-gc2184b65d2-win64-gpl-7.1\bin\ffmpeg.exe -f rawvideo -pix_fmt yuv420p -s 3840x2160 -r 50 -i  RaceNight_3840x2160_50fps_420_8bit_YUV_RAW\RaceNight_3840x2160_50fps_8bit.yuv -vf scale=1920:1080 -c:v libx265 -preset medium -crf 20 RaceNight_1080p.mp4 -benchmark -stats -report

content/learning-paths/mobile-graphics-and-gaming/_index.md

@@ -10,13 +10,13 @@ key_ip:
 maintopic: true
 operatingsystems_filter:
 - Android: 32
-- Linux: 30
+- Linux: 31
 - macOS: 14
 - Windows: 14
 subjects_filter:
 - Gaming: 6
 - Graphics: 6
-- ML: 12
+- ML: 13
 - Performance and Architecture: 35
 subtitle: Optimize Android apps and build faster games using cutting-edge Arm tech
 title: Mobile, Graphics, and Gaming
@@ -34,13 +34,13 @@ tools_software_languages_filter:
 - Bazel: 1
 - C: 4
 - C#: 3
-- C++: 11
+- C++: 12
 - CCA: 1
 - Clang: 12
 - CMake: 1
 - Coding: 1
 - Docker: 1
-- ExecuTorch: 1
+- ExecuTorch: 2
 - Frame Advisor: 1
 - GCC: 12
 - Generative AI: 2
@@ -49,6 +49,7 @@ tools_software_languages_filter:
 - Google Test: 1
 - Hugging Face: 5
 - Java: 6
+- Jupyter Notebook: 1
 - KleidiAI: 1
 - Kotlin: 7
 - LiteRT: 1
@@ -61,7 +62,7 @@ tools_software_languages_filter:
 - ONNX Runtime: 1
 - OpenGL ES: 1
 - Python: 4
-- PyTorch: 1
+- PyTorch: 2
 - QEMU: 1
 - RenderDoc: 1
 - RME: 1
@@ -74,7 +75,7 @@ tools_software_languages_filter:
 - Unreal Engine: 4
 - Visual Studio: 1
 - Visual Studio Code: 1
-- Vulkan: 4
+- Vulkan: 5
 - Vulkan SDK: 1
 - XNNPACK: 1
 weight: 3

content/learning-paths/servers-and-cloud-computing/_index.md

@@ -8,7 +8,7 @@ key_ip:
 maintopic: true
 operatingsystems_filter:
 - Android: 3
-- Linux: 180
+- Linux: 183
 - macOS: 13
 - Windows: 14
 pinned_modules:
@@ -18,14 +18,14 @@ pinned_modules:
     - providers
     - migration
 subjects_filter:
-- CI-CD: 7
+- CI-CD: 8
 - Containers and Virtualization: 32
 - Databases: 18
 - Libraries: 9
 - ML: 32
 - Performance and Architecture: 72
 - Storage: 2
-- Web: 12
+- Web: 14
 subtitle: Optimize cloud native apps on Arm for performance and cost
 title: Servers and Cloud Computing
 tools_software_languages_filter:
@@ -36,6 +36,7 @@ tools_software_languages_filter:
 - AI: 1
 - Android Studio: 1
 - Ansible: 2
+- apache: 1
 - Apache Spark: 2
 - Apache Tomcat: 2
 - ApacheBench: 1
@@ -50,6 +51,7 @@ tools_software_languages_filter:
 - ASP.NET Core: 2
 - Assembly: 5
 - async-profiler: 1
+- Autocannon: 1
 - AWS: 2
 - AWS CDK: 2
 - AWS Cloud Formation: 1
@@ -66,6 +68,7 @@ tools_software_languages_filter:
 - Bastion: 3
 - BOLT: 2
 - bpftool: 1
+- Buildkite: 1
 - C: 10
 - C#: 2
 - C++: 12
@@ -80,7 +83,8 @@ tools_software_languages_filter:
 - Daytona: 1
 - Demo: 3
 - Django: 1
-- Docker: 23
+- Docker: 24
+- Docker Buildx: 1
 - Envoy: 3
 - ExecuTorch: 1
 - FAISS: 1
@@ -121,7 +125,6 @@ tools_software_languages_filter:
 - KEDA: 1
 - Kedify: 1
 - Keras: 1
-- KleidiAI: 1
 - Kubernetes: 11
 - Libamath: 1
 - libbpf: 1
@@ -145,7 +148,8 @@ tools_software_languages_filter:
 - Networking: 1
 - Nexmark: 1
 - NGINX: 4
-- Node.js: 3
+- Node.js: 4
+- npm: 1
 - Ollama: 1
 - ONNX Runtime: 2
 - OpenBLAS: 1
@@ -156,6 +160,8 @@ tools_software_languages_filter:
 - PAPI: 1
 - perf: 6
 - Perf: 1
+- PHP: 1
+- PHPBench: 1
 - PostgreSQL: 4
 - Profiling: 1
 - Python: 32
@@ -205,7 +211,7 @@ tools_software_languages_filter:
 weight: 1
 cloud_service_providers_filter:
 - AWS: 17
-- Google Cloud: 18
+- Google Cloud: 21
 - Microsoft Azure: 18
 - Oracle: 2
 ---

content/learning-paths/servers-and-cloud-computing/buildkite-gcp/buildkite-agent-setup.md

@@ -93,4 +93,4 @@ Confirm that the agent is online and connected to the queue `buildkite-queue1`.
 
 ![Buildkite Dashboard alt-text#center](images/agent.png "Verify Agent")
 
-The Buildkite agent is ready, you can proceed to use Buildkit for building multi-arch images. 
+The Buildkite agent is ready, you can proceed to use Buildkite for building multi-arch images.