operating systems can use more than 16 interrupt requests (IRQs) and therefore avoid IRQ sharing for improved reliability. Note: Enabling the I/O APIC is required for 64-bit guest operating systems, especially tracerouting) rely on the ICMP protocol for sending/receiving messages. While ICMP sup- port has been improved with VirtualBox 2.1 (ping should now work), some other tools may not work reliably. Receiving of flushed when the guest issues the IDE FLUSH CACHE command. Normally these requests are ignored for improved performance. The parameters below are only accepted for disk drives. They must not be set for DVD

right value with a nullable integer dtype series not passing through ddof argument (GH29128) • Improved error message when using frac > 1 and replace = False (GH27451) • Bug in numeric indexes resulted Bug in merge_asof() merging on a tz-aware left_index and right_on a tz-aware column (GH29864) • Improved error message and docstring in cut() and qcut() when labels=True (GH13318) • Bug in missing fill_na just built: doc/build/html/index.html And you’ll have the satisfaction of seeing your new and improved documentation! Building master branch documentation When pull requests are merged into the pandas

to_stata() is now faster when outputting data with any string or non-native endian columns (GH25045) • Improved performance of Series.searchsorted(). The speedup is especially large when the dtype is int8/int16/int32 key is within the integer bounds for the dtype (GH22034) • Improved performance of pandas.core.groupby.GroupBy.quantile() (GH20405) • Improved performance of slicing and other selected operation on a RangeIndex hashtable, hence saving memory (GH16685) • Improved performance of read_csv() by faster tokenizing and faster parsing of small float numbers (GH25784) • Improved performance of read_csv() by faster parsing

to_stata() is now faster when outputting data with any string or non-native endian columns (GH25045) • Improved performance of Series.searchsorted(). The speedup is especially large when the dtype is int8/int16/int32 key is within the integer bounds for the dtype (GH22034) • Improved performance of pandas.core.groupby.GroupBy.quantile() (GH20405) • Improved performance of slicing and other selected operation on a RangeIndex hashtable, hence saving memory (GH16685) • Improved performance of read_csv() by faster tokenizing and faster parsing of small float numbers (GH25784) • Improved performance of read_csv() by faster parsing

operating systems can use more than 16 interrupt requests (IRQs) and therefore avoid IRQ sharing for improved reliability. Note: Enabling the I/O APIC is required for 64-bit guest operating systems, especially tracerouting) rely on the ICMP protocol for sending/receiving messages. While ICMP sup- port has been improved with VirtualBox 2.1 (ping should now work), some other tools may not work reliably. Receiving of flushed when the guest issues the IDE FLUSH CACHE command. Normally these requests are ignored for improved performance. The parameters below are only accepted for disk drives. They must not be set for DVD

operating systems can use more than 16 interrupt requests (IRQs) and therefore avoid IRQ sharing for improved reliability. Note: Enabling the I/O APIC is required for 64-bit guest operating systems, especially tracerouting) rely on the ICMP protocol for sending/receiving messages. While ICMP sup- port has been improved with VirtualBox 2.1 (ping should now work), some other tools may not work reliably. Receiving of flushed when the guest issues the IDE FLUSH CACHE command. Normally these requests are ignored for improved performance. The parameters below are only accepted for disk drives. They must not be set for DVD

just built: doc/build/html/index.html And you’ll have the satisfaction of seeing your new and improved documentation! Building master branch documentation When pull requests are merged into the pandas collection of 2-D arrays is managed by the BlockManager. The primary benefit of the BlockManager is improved performance on certain operations (construction from a 2D array, binary operations, reductions across Easier extensibility with new logical types • Better user control over memory use and layout • Improved micro-performance • Option to provide a C / Cython API to pandas’ internals See these design documents

just built: doc/build/html/index.html And you’ll have the satisfaction of seeing your new and improved documentation! Building master branch documentation When pull requests are merged into the pandas collection of 2-D arrays is managed by the BlockManager. The primary benefit of the BlockManager is improved performance on certain operations (construction from a 2D array, binary operations, reductions across Easier extensibility with new logical types • Better user control over memory use and layout • Improved micro-performance • Option to provide a C / Cython API to pandas’ internals See these design documents

just built: doc/build/html/index.html And you’ll have the satisfaction of seeing your new and improved documentation! Building master branch documentation When pull requests are merged into the pandas collection of 2-D arrays is managed by the BlockManager. The primary benefit of the BlockManager is improved performance on certain operations (construction from a 2D array, binary operations, reductions across Easier extensibility with new logical types • Better user control over memory use and layout • Improved micro-performance • Option to provide a C / Cython API to pandas’ internals See these design documents

just built: doc/build/html/index.html And you’ll have the satisfaction of seeing your new and improved documentation! Building master branch documentation When pull requests are merged into the pandas collection of 2-D arrays is managed by the BlockManager. The primary benefit of the BlockManager is improved performance on certain operations (construction from a 2D array, binary operations, reductions across Easier extensibility with new logical types • Better user control over memory use and layout • Improved micro-performance • Option to provide a C / Cython API to pandas’ internals See these design documents