WIP: Relax Python Dependencies

[SwampertX]

What this PR does / why we need it:
Feast's Python SDK has dependencies that clash with popular data science libraries, like pandas and pyyaml. This PR aims to fix that, and perhaps find a most suitable way to do this.
Which issue(s) this PR fixes:

Fixes #928

Does this PR introduce a user-facing change?:

Update Python SDK Dependencies

[feast-ci-bot]

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[SwampertX]

The current update is done by

1. Removing all the restriction in dependency versions, in sdk/python/setup.py
2. pip install -e sdk/python in a new virtual environment.
3. Extract the dependent packages' versions from pip freeze.
4. Update sdk/python/setup.py and requirements-*.txt with latest versions that does not conflict with tensorflow==2.3.0
5. Use >= for all the required packages.

Appreciate comments on what is the best practice here.

[feast-ci-bot]

@SwampertX: The following tests failed, say /retest to rerun them all:

Test name	Commit	Details	Rerun command
test-end-to-end-batch	fb515d5	link	/test test-end-to-end-batch
test-end-to-end-batch-dataflow	fb515d5	link	/test test-end-to-end-batch-dataflow
test-end-to-end-auth	fb515d5	link	/test test-end-to-end-auth
test-end-to-end-redis-cluster	fb515d5	link	/test test-end-to-end-redis-cluster
test-end-to-end	fb515d5	link	/test test-end-to-end

Full PR test history

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[woop]

Are these really the lowest versions we can use? (everything in REQUIRED)

[SwampertX]

They are the latest versions we can use instead. This way the dependencies will not be outdated for longer, but is likely going to conflict with old packages. Although no conflicts are detected when I last tested the dependencies by installing in a new virtualenv with tensorflow==2.3.0.

[woop]

Yea but basically, if somebody is running Pandas 1.0.0 then Feast wont work for them.

[pradithya]

@SwampertX I agree with @woop, the dependency requirements should be as low as possible since many of our existing users are using older version of library.