Update pip in docker build to resolve pandas install issue

[jlchang]

The update of pandas in jlc_make_data_objects caused a cloud build failure because more recent pandas' setup.py invoke import numpy. In a cloud build scenario, numpy is collected but not installed when the pandas build is attempted so the pandas build fails (Older pip builds each package first before installing any packages).

By updating pip as part of the docker install process, a more sophisticated install solver uses better order of installation to ensure numpy is available before pandas installation is attempted.

[codecov]

Codecov Report

Merging #240 (9c87d90) into development (90db079) will not change coverage.
The diff coverage is n/a.

@@             Coverage Diff              @@
##           development     #240   +/-   ##
============================================
  Coverage        71.29%   71.29%           
============================================
  Files               27       27           
  Lines             3518     3518           
============================================
  Hits              2508     2508           
  Misses            1010     1010           

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[jlchang]

Had CI failure for test_genome with http.client.IncompleteRead: IncompleteRead(17437892 bytes read, 33391148 more expected)
Retried CI with success - false positive was due to transient issues with a 3rd party dependency.