required in order to build and compile the module: ● Clang compiler version 6.0.1 (http://releases.llvm.org/download.html) ● Go programming language version 1.10.3 (https://golang.org/dl/) ● Ninja build

背景开发者直接上手，特别在大数据规模下性能强大。 * 完全自主开发的 compiler，语言功能开发更灵活，迭 代快，语法语义检查更加灵活高效 * 基于代价的优化器，更智能，更强大，更适合复杂的查 询 * 基于 LLVM 的代码生成，让执行过程更高效 * 支持复杂数据类型(array,map,struct) * 支持 Java、Python 语言的 UDF/UDAF/UDTF * 语法：Values、CTE、SEMIJOIN、FROM

key with a passphrase entered on the command line as an argument: $ openssl genrsa -aes256 -passout pass:user_passphrase -out ~/.oci/ oci_api_key.pem 2048 • To generate a private key without a passphrase: to use VMs configured to use a USB device, e.g. a USB pointing device or a USB pass-through device, you should also pass through the /dev/vboxusbmon device using the steps above. Oracle Solaris 11 does [‑‑nat‑tftp‑fileN=filename] [‑‑nat‑tftp‑serverN=IP‑address] [‑‑nat‑bind‑ipN=IP‑address] [‑‑nat‑dns‑pass‑domainN= on | off] [‑‑nat‑dns‑proxyN= on | off] [‑‑nat‑dns‑host‑resolverN= on | off] [‑‑nat‑localhostreachableN=

argument. When the function you wish to apply takes its data anywhere other than the first argument, pass a tuple of (function, keyword) indicating where the DataFrame should flow. For example: In [1]: import sample(n=1, weights=example_weights2) Out[23]: 0 0 dtype: int64 When applied to a DataFrame, one may pass the name of a column to specify sampling weights when sampling from rows. In [24]: df = DataFrame({'col1':[9 6 1.4 0.2 Iris-setosa 0.720000 Above was an example of inserting a precomputed value. We can also pass in a function to be evalutated. In [4]: iris.assign(sepal_ratio = lambda x: (x['SepalWidth'] /

above each subplot if suplots=True and title is a list of strings (GH14753) • DataFrame.plot can pass the matplotlib 2.0 default color cycle as a single string as color parameter, see here. (GH15516) set with align='left'|'mid'|'zero', the default is “left”, which is backward compatible; You can now pass a list of color=[color_negative, color_positive]. (GH14757) 1.3.2 Backwards incompatible API changes to_datetime(df) Out[31]: 0 2015-02-04 02:00:00 1 2016-03-05 03:00:00 dtype: datetime64[ns] You can pass only the columns that you need to assemble. In [32]: pd.to_datetime(df[['year', 'month', 'day']])

to_datetime(df) Out[31]: 0 2015-02-04 02:00:00 1 2016-03-05 03:00:00 dtype: datetime64[ns] You can pass only the columns that you need to assemble. In [32]: pd.to_datetime(df[['year', 'month', 'day']]) In the new API, you can either downsample OR upsample. The prior implementation would allow you to pass an aggregator function (like mean) even though you were upsampling, providing a bit of confusion. argument. When the function you wish to apply takes its data anywhere other than the first argument, pass a tuple of (function,keyword) indicating where the DataFrame should flow. For example: In [1]: import

to_datetime(df) Out[31]: 0 2015-02-04 02:00:00 1 2016-03-05 03:00:00 dtype: datetime64[ns] You can pass only the columns that you need to assemble. In [32]: pd.to_datetime(df[['year', 'month', 'day']]) In the new API, you can either downsample OR upsample. The prior implementation would allow you to pass an aggregator function (like mean) even though you were upsampling, providing a bit of confusion. argument. When the function you wish to apply takes its data anywhere other than the first argument, pass a tuple of (function,keyword) indicating where the DataFrame should flow. For example: In [1]: import

above each subplot if suplots=True and title is a list of strings (GH14753) • DataFrame.plot can pass the matplotlib 2.0 default color cycle as a single string as color parameter, see here. (GH15516) set with align='left'|'mid'|'zero', the default is “left”, which is backward compatible; You can now pass a list of color=[color_negative, color_positive]. (GH14757) 20 Chapter 1. What’s New pandas: powerful to_datetime(df) Out[31]: 0 2015-02-04 02:00:00 1 2016-03-05 03:00:00 dtype: datetime64[ns] You can pass only the columns that you need to assemble. In [32]: pd.to_datetime(df[['year', 'month', 'day']])

above each subplot if suplots=True and title is a list of strings (GH14753) • DataFrame.plot can pass the matplotlib 2.0 default color cycle as a single string as color parameter, see here. (GH15516) set with align='left'|'mid'|'zero', the default is “left”, which is backward compatible; You can now pass a list of color=[color_negative, color_positive]. (GH14757) 1.5.2 Backwards incompatible API changes to_datetime(df) Out[31]: 0 2015-02-04 02:00:00 1 2016-03-05 03:00:00 dtype: datetime64[ns] You can pass only the columns that you need to assemble. In [32]: pd.to_datetime(df[['year', 'month', 'day']])

min_height max_height average_weight kind cat 9.1 9.5 8.90 dog 6.0 34.0 102.75 [2 rows x 3 columns] Pass the desired columns names as the **kwargs to .agg. The values of **kwargs should be tuples where the representations of Pandas objects are now generally defined in __repr__, and calls to __str__ in general now pass the call on to the __repr__, if a specific __str__ method doesn’t exist, as is standard for Python use the head() and tail() methods. The default number of elements to display is five, but you may pass a custom number. In [4]: long_series = pd.Series(np.random.randn(1000)) In [5]: long_series.head()