Index dtype may not applied properly (GH11017) • Bug in io.gbq when testing for minimum google api client version (GH10652) • Bug in DataFrame construction from nested dict with timedelta keys (GH11129) dependencies on a per-method basis.(GH9713) • Updated BigQuery connector to no longer use deprecated oauth2client.tools.run() (GH8327) • Bug in subclassed DataFrame. It may not return the correct class, when slicing remove the dependency on the Google bq.py command line client. This submodule now uses httplib2 and the Google apiclient and oauth2client API client libraries which should be more stable and, therefore,

Index dtype may not applied properly (GH11017) • Bug in io.gbq when testing for minimum google api client version (GH10652) • Bug in DataFrame construction from nested dict with timedelta keys (GH11129) dependencies on a per-method basis.(GH9713) • Updated BigQuery connector to no longer use deprecated oauth2client.tools.run() (GH8327) • Bug in subclassed DataFrame. It may not return the correct class, when slicing remove the dependency on the Google bq.py command line client. This submodule now uses httplib2 and the Google apiclient and oauth2client API client libraries which should be more stable and, therefore,

Index dtype may not applied properly (GH11017) • Bug in io.gbq when testing for minimum google api client version (GH10652) • Bug in DataFrame construction from nested dict with timedelta keys (GH11129) dependencies on a per-method basis.(GH9713) • Updated BigQuery connector to no longer use deprecated oauth2client.tools.run() (GH8327) • Bug in subclassed DataFrame. It may not return the correct class, when slicing remove the dependency on the Google bq.py command line client. This submodule now uses httplib2 and the Google apiclient and oauth2client API client libraries which should be more stable and, therefore,

(GH2713). • Function to reset Google Analytics token store so users can recover from improperly setup client secrets (GH2687). • Fixed groupby bug resulting in segfault when passing in MultiIndex (GH2706) test_table’, project_id = projectid) The user will then be authenticated by the bq command line client - this usually involves the default browser opening to a login page, though the process can be done that could possibly cause data duplication in the resultant dataframe. A fix is imminent, but any client changes will not make it into 0.13.1. See: http://stackoverflow.com/questions/20984592/bigquery-

(GH2713). • Function to reset Google Analytics token store so users can recover from improperly setup client secrets (GH2687). • Fixed groupby bug resulting in segfault when passing in MultiIndex (GH2706) data analysis toolkit, Release 0.13.1 The user will then be authenticated by the bq command line client - this usually involves the default browser opening to a login page, though the process can be done that could possibly cause data duplication in the resultant dataframe. A fix is imminent, but any client changes will not make it into 0.13.1. See: http://stackoverflow.com/questions/20984592/bigquery-

remove the dependency on the Google bq.py command line client. This submodule now uses httplib2 and the Google apiclient and oauth2client API client libraries which should be more stable and, therefore, (GH2713). • Function to reset Google Analytics token store so users can recover from improperly setup client secrets (GH2687). • Fixed groupby bug resulting in segfault when passing in MultiIndex (GH2706) and/or xsel immediately available for installation. • Google’s python-gflags and google-api-python-client – Needed for gbq • setuptools – Needed for gbq (specifically, it utilizes pkg_resources) • httplib2

distributed import Client, LocalCluster >>> cluster = LocalCluster() >>> client = Client(cluster) >>> client <Client: 'tcp://127.0.0.1:53349' processes=4 threads=8, memory=17.18 GB> Once this client is created Version 0.24 2459 pandas: powerful Python data analysis toolkit, Release 1.0.0 • Bug in detect_client_encoding() where potential IOError goes unhandled when importing in a mod_wsgi process due to restricted Index dtype may not applied properly (GH11017) • Bug in io.gbq when testing for minimum google api client version (GH10652) • Bug in DataFrame construction from nested dict with timedelta keys (GH11129)

distributed import Client, LocalCluster >>> cluster = LocalCluster() >>> client = Client(cluster) >>> client <Client: 'tcp://127.0.0.1:53349' processes=4 threads=8, memory=17.18 GB> Once this client is created Version 0.24 2529 pandas: powerful Python data analysis toolkit, Release 1.0.5 • Bug in detect_client_encoding() where potential IOError goes unhandled when importing in a mod_wsgi process due to restricted Index dtype may not applied properly (GH11017) • Bug in io.gbq when testing for minimum google api client version (GH10652) • Bug in DataFrame construction from nested dict with timedelta keys (GH11129)

distributed import Client, LocalCluster >>> cluster = LocalCluster() >>> client = Client(cluster) >>> client <Client: 'tcp://127.0.0.1:53349' processes=4 threads=8, memory=17.18 GB> Once this client is created Chapter 5. Release Notes pandas: powerful Python data analysis toolkit, Release 1.0.4 • Bug in detect_client_encoding() where potential IOError goes unhandled when importing in a mod_wsgi process due to restricted Index dtype may not applied properly (GH11017) • Bug in io.gbq when testing for minimum google api client version (GH10652) • Bug in DataFrame construction from nested dict with timedelta keys (GH11129)

distributed import Client, LocalCluster >>> cluster = LocalCluster() >>> client = Client(cluster) >>> client <Client: 'tcp://127.0.0.1:53349' processes=4 threads=8, memory=17.18 GB> Once this client is created Version 0.24 2669 pandas: powerful Python data analysis toolkit, Release 1.1.1 • Bug in detect_client_encoding() where potential IOError goes unhandled when importing in a mod_wsgi process due to restricted Index dtype may not applied properly (GH11017) • Bug in io.gbq when testing for minimum google api client version (GH10652) • Bug in DataFrame construction from nested dict with timedelta keys (GH11129)