can now serialize a timedelta64[ns] dtype in a table (GH3577), See the docs. • added an is_open property to indicate if the underlying file handle is_open; a closed store will now report ‘CLOSED’ when arguments will now return a copy of the input object • TimeSeries is now an alias for Series. the property is_time_series can be used to distinguish (if desired) • Refactor of Sparse objects to use BlockManager on table writing • support for arbitrarily indexed dimensions • SparseSeries now has a density property (GH2384) • enable Series.str.strip/lstrip/rstrip methods to take an input argument to strip arbitrary

factorize(),nunique(),value_counts() are now supported on Index types as well. The Series.weekday property from is removed from Series for API consistency. Using a DatetimeIndex/PeriodIndex method on a Series (previously raised a TypeError) • Bug in cache coherence with chained indexing and slicing; add _is_view property to NDFrame to correctly predict views; mark is_copy on xs only if its an actual copy (and not a can now serialize a timedelta64[ns] dtype in a table (GH3577), See the docs. • added an is_open property to indicate if the underlying file handle is_open; a closed store will now report ‘CLOSED’ when

– The expiry parameter can now be a single date or a list-like object containing dates. – A new property expiry_dates was added, which returns all available expiry dates. Current behavior: In [17]: from factorize(),nunique(),value_counts() are now supported on Index types as well. The Series.weekday property from is removed from Series for API consistency. Using a DatetimeIndex/PeriodIndex method on a Series (previously raised a TypeError) • Bug in cache coherence with chained indexing and slicing; add _is_view property to NDFrame to correctly predict views; mark is_copy on xs only if its an actual copy (and not a

– The expiry parameter can now be a single date or a list-like object containing dates. – A new property expiry_dates was added, which returns all available expiry dates. Current behavior: In [17]: from factorize(),nunique(),value_counts() are now supported on Index types as well. The Series.weekday property from is removed from Series for API consistency. Using a DatetimeIndex/PeriodIndex method on a Series (previously raised a TypeError) • Bug in cache coherence with chained indexing and slicing; add _is_view property to NDFrame to correctly predict views; mark is_copy on xs only if its an actual copy (and not a

normalize as a dt accessor method. (GH10047) • DataFrame and Series now have _constructor_expanddim property as overridable constructor for one higher dimensionality data. This should be used only when it incompat cython version to build (GH9827) • Bug in plotting secondary_y incorrectly attaches right_ax property to secondary axes specifying itself recursively. (GH9861) • Bug in Series.quantile on empty Series sheet names as they are parsed. (GH9450) • Added days_in_month (compatibility alias daysinmonth) property to Timestamp, DatetimeIndex, Period, PeriodIndex, and Series.dt (GH9572) • Added decimal option

(ODBC) interface over a JDBC-to-ODBC bridge to communicate with Kyuubi. RESTful APIs It provides system management APIs, including engines, sessions, operations, and miscellaneous ones. It provides methods single point of failures. It helps achieve zero downtime for planned system maintenance Failure detectability Failures and system load of kyuubi server and engines are visible via metrics, logs, and Authorization Kinit Auxiliary Service Hadoop Credentials Manager Monitoring 1. Monitoring Kyuubi - Logging System 2. Monitoring Kyuubi - Server Metrics 3. Trouble Shooting Tools Kubernetes Tools Spark Block Cleaner

create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop HDFS [https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/HdfsDesign (JDBC) to handle massive data. It helps you focus on the design and implementation of your business system. Run Anywhere Kyuubi can submit Spark applications to all supported cluster managers, including Authorization With strong authentication and fine-grained column/row level authorization, Kyuubi keeps your system and data secure. High Availability Kyuubi provides both high availability and load balancing solutions

create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop HDFS [https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/HdfsDesign (JDBC) to handle massive data. It helps you focus on the design and implementation of your business system. Run Anywhere Kyuubi can submit Spark applications to all supported cluster managers, including Authorization With strong authentication and fine-grained column/row level authorization, Kyuubi keeps your system and data secure. High Availability Kyuubi provides both high availability and load balancing solutions

(GH13333) • Timestamp, Period, DatetimeIndex, PeriodIndex and .dt accessor have gained a .is_leap_year property to check whether the date belongs to a leap year. (GH13727) • astype() will now accept a dict of merge_ordered() and the original name will be removed in a future version (GH13358) • Timestamp.offset property (and named arg in the constructor), has been deprecated in favor of freq (GH12160) • pd.tseries deprecated and will be removed in a subsequent release. Datetime-likes now have a .is_leap_year property (GH13727) • Panel4D and PanelND constructors are deprecated and will be removed in a future version

(GH13333) • Timestamp, Period, DatetimeIndex, PeriodIndex and .dt accessor have gained a .is_leap_year property to check whether the date belongs to a leap year. (GH13727) • astype() will now accept a dict of merge_ordered() and the original name will be removed in a future version (GH13358) • Timestamp.offset property (and named arg in the constructor), has been deprecated in favor of freq (GH12160) • pd.tseries deprecated and will be removed in a subsequent release. Datetime-likes now have a .is_leap_year property (GH13727) • Panel4D and PanelND constructors are deprecated and will be removed in a future version