Remove unnecessary python skylark rules and update example 

* We already have native python rules, so the skylark
ones are no longer unnecessary now
* Leaving `load skylark rules` statement in the example
may be misleading for newcomers

Testing done:
* re-compile bazel
* use it to build example folder and run py target

``` shell
./compile.sh compile /usr/bin/bazel
/home/yiyu/opt/bazel/output/bazel build //examples:all
/home/yiyu/opt/bazel/output/bazel run //examples/py:bin
```

--
Change-Id: Icd82afff2b74e77c0bcc80687b04225baf28f6ad
Reviewed-on: https://cr.bazel.build/9070
PiperOrigin-RevId: 148646895
MOS_MIGRATED_REVID=148646895
2 files changed
tree: 8a7fa8aaf4c35e014935426f119efa2b5e34580a
  1. examples/
  2. scripts/
  3. site/
  4. src/
  5. third_party/
  6. tools/
  7. .gitattributes
  8. .gitignore
  9. AUTHORS
  10. BUILD
  11. CHANGELOG.md
  12. combine_distfiles.sh
  13. compile.sh
  14. CONTRIBUTING.md
  15. CONTRIBUTORS
  16. ISSUE_TEMPLATE.md
  17. LICENSE
  18. LICENSE.txt
  19. README.md
  20. WORKSPACE
README.md

Bazel (Beta)

{Fast, Correct} - Choose two

Bazel is a build tool that builds code quickly and reliably. It is used to build the majority of Google‘s software, and thus it has been designed to handle build problems present in Google’s development environment, including:

  • A massive, shared code repository, in which all software is built from source. Bazel has been built for speed, using both caching and parallelism to achieve this. Bazel is critical to Google's ability to continue to scale its software development practices as the company grows.

  • An emphasis on automated testing and releases. Bazel has been built for correctness and reproducibility, meaning that a build performed on a continuous build machine or in a release pipeline will generate bitwise-identical outputs to those generated on a developer's machine.

  • Language and platform diversity. Bazel's architecture is general enough to support many different programming languages within Google, and can be used to build both client and server software targeting multiple architectures from the same underlying codebase.

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