deprecated and will be removed in a future version. Similar functionaility can be accessed thru the rpy2 project (GH9602) • Adding DatetimeIndex/PeriodIndex to another DatetimeIndex/PeriodIndex is being depre- Your Google BigQuery Project ID # To find this, see your dashboard: # https://code.google.com/apis/console/b/0/?noredirect projectid = xxxxxxxxx; df = gbq.read_gbq(query, project_id = projectid) # Use free GitHub account. We use Git for version control to allow many people to work together on the project. Some great resources for learning git: 230 Chapter 3. Contributing to pandas pandas: powerful

that pandas has become a sponsored project of the (NUMFocus organization). This will help ensure the success of development of pandas as a world-class open-source project. This is a minor bug-fix release deprecated and will be removed in a future version. Similar functionaility can be accessed thru the rpy2 project (GH9602) • Adding DatetimeIndex/PeriodIndex to another DatetimeIndex/PeriodIndex is being depre- Google BigQuery Project ID # To find this, see your dashboard: # https://console.developers.google.com/iam-admin/projects?authuser=0 projectid = xxxxxxxxx; df = gbq.read_gbq(query, project_id = projectid)

that pandas has become a sponsored project of the (NUMFocus organization). This will help ensure the success of development of pandas as a world-class open-source project. This is a minor bug-fix release deprecated and will be removed in a future version. Similar functionaility can be accessed thru the rpy2 project (GH9602) • Adding DatetimeIndex/PeriodIndex to another DatetimeIndex/PeriodIndex is being depre- Google BigQuery Project ID # To find this, see your dashboard: # https://console.developers.google.com/iam-admin/projects?authuser=0 projectid = xxxxxxxxx; df = gbq.read_gbq(query, project_id = projectid)

Your Google BigQuery Project ID # To find this, see your dashboard: # https://code.google.com/apis/console/b/0/?noredirect projectid = xxxxxxxxx; df = gbq.read_gbq(query, project_id = projectid) # Use ideas. A complete list can be found on Github. 4.5 Development Team pandas is a part of the PyData project. The PyData Development Team is a collection of developers focused on the improvement of Python’s coordinates development can be found on Github. If you’re interested in contributing, please visit the project website. 4.6 License 184 Chapter 4. Package overview pandas: powerful Python data analysis toolkit

Your Google BigQuery Project ID # To find this, see your dashboard: # https://code.google.com/apis/console/b/0/?noredirect projectid = xxxxxxxxx; df = gbq.read_gbq(query, project_id = projectid) # Use ideas. A complete list can be found on Github. 4.5 Development Team pandas is a part of the PyData project. The PyData Development Team is a collection of developers focused on the improvement of Python’s coordinates development can be found on Github. If you’re interested in contributing, please visit the project website. 4.6 License 178 Chapter 4. Package overview pandas: powerful Python data analysis toolkit

Your Google BigQuery Project ID # To find this, see your dashboard: # https://code.google.com/apis/console/b/0/?noredirect projectid = xxxxxxxxx; df = gbq.read_gbq(query, project_id = projectid) # Use and 2.5 support will require either monetary development support or someone contributing to the project to restore compatibility. 2.2 Binary installers 2.2.1 All platforms Stable installers available ideas. A complete list can be found on Github. 4.5 Development Team pandas is a part of the PyData project. The PyData Development Team is a collection of developers focused on the improvement of Python’s

deprecations/changes • The pandas.rpy module is removed. Similar functionality can be accessed through the rpy2 project. See the R interfacing docs for more details. • The pandas.io.ga module with a google-analytics that pandas has become a sponsored project of the (NUMFocus organization). This will help ensure the success of development of pandas as a world-class open-source project. This is a minor bug-fix release deprecated and will be removed in a future version. Similar functionaility can be accessed thru the rpy2 project (GH9602) • Adding DatetimeIndex/PeriodIndex to another DatetimeIndex/PeriodIndex is being depre-

deprecations/changes • The pandas.rpy module is removed. Similar functionality can be accessed through the rpy2 project. See the R interfacing docs for more details. • The pandas.io.ga module with a google-analytics that pandas has become a sponsored project of the (NUMFocus organization). This will help ensure the success of development of pandas as a world-class open-source project. This is a minor bug-fix release deprecated and will be removed in a future version. Similar functionaility can be accessed thru the rpy2 project (GH9602) • Adding DatetimeIndex/PeriodIndex to another DatetimeIndex/PeriodIndex is being depre-

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 424 4.5 Project Governance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . deprecations/changes • The pandas.rpy module is removed. Similar functionality can be accessed through the rpy2 project. See the R interfacing docs for more details. • The pandas.io.ga module with a google-analytics that pandas has become a sponsored project of the (NUMFocus organization). This will help ensure the success of development of pandas as a world-class open-source project. This is a minor bug-fix release

Your Google BigQuery Project ID # To find this, see your dashboard: # https://code.google.com/apis/console/b/0/?noredirect projectid = xxxxxxxxx; df = gbq.read_gbq(query, project_id = projectid) # Use ideas. A complete list can be found on Github. 4.5 Development Team pandas is a part of the PyData project. The PyData Development Team is a collection of developers focused on the improvement of Python’s coordinates development can be found on Github. If you’re interested in contributing, please visit the project website. 4.6 License 138 Chapter 4. Package overview pandas: powerful Python data analysis toolkit