Python Kite 使用教程 轻量级代码提示，,1:概述今天升级an

Python Kite 使用教程 轻量级代码提示，,1:概述今天升级an

1:概述

今天升级annacoda插件spyder (4.0.0 )的时候提示安装kite ,这是什么玩意?下载下来试一试?原来:就是一个代码提示插件..

说白了"就是让开发者在轻量级编辑器环境下有一个高端的代码提示环境 "

https://kite.com官网

Kite使用教程

Kite 安装教程

2安装

下载链接 :https://kite.com/download/

提供Install formacOSorLinuxwin三大版本支持

编辑器:Available for Atom,PyCharm,Sublime,VS Code,and Vim.

注意:默认是安装在C盘 ,不会给你选择安装盘符的选项

安装完成后:输入你的邮箱进行绑定注册

进入插件选项,选择你使用的编辑器插件,,这里我安装了pyecharm

3:annacoda环境配置

Preferences > Completions and linting > Completion下面打上√

Preferences > Completions and linting > Advanced > Enable Kite (if the Kite engine is running)打上√

上面完全设置好了以后 : spyder下标栏出现kite

下面写一段代码试一试:

import numpy as npprint(np.random.randint(1,100));

4:其他使用姿势

查询某个模块的使用方法:

假设查询numpy使用方法:方法很详细

SIGNATURElow,high=None,size=None,dtype=‘l‘RETURNSint | ndarrayHOW OTHERS USED THISrandint(?low, high?)randint(?low?)randint(?low, high, size?)randint(?low, size?)randint(?low, high, size?)DOCUMENTATIONrandint(low, high=None, size=None, dtype=‘l‘)Return random integers from `low` (inclusive) to `high` (exclusive).Return random integers from the "discrete uniform" distribution ofthe specified dtype in the "half-open" interval [`low`, `high`). If`high` is None (the default), then results are from [0, `low`).Parameters----------low : int    Lowest (signed) integer to be drawn from the distribution (unless    ``high=None``, in which case this parameter is one above the    *highest* such integer).high : int, optional    If provided, one above the largest (signed) integer to be drawn    from the distribution (see above for behavior if ``high=None``).size : int or tuple of ints, optional    Output shape.  If the given shape is, e.g., ``(m, n, k)``, then    ``m * n * k`` samples are drawn.  Default is None, in which case a    single value is returned.dtype : dtype, optional    Desired dtype of the result. All dtypes are determined by their    name, i.e., ‘int64‘, ‘int‘, etc, so byteorder is not available    and a specific precision may have different C types depending    on the platform. The default value is ‘np.int‘.    .. versionadded:: 1.11.0Returns-------out : int or ndarray of ints    `size`-shaped array of random integers from the appropriate    distribution, or a single such random int if `size` not provided.See Also--------random.random_integers : similar to `randint`, only for the closed    interval [`low`, `high`], and 1 is the lowest value if `high` is    omitted. In particular, this other one is the one to use to generate    uniformly distributed discrete non-integers.Examples-------->>> np.random.randint(2, size=10)array([1, 0, 0, 0, 1, 1, 0, 0, 1, 0])>>> np.random.randint(1, size=10)array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0])Generate a 2 x 4 array of ints between 0 and 4, inclusive:>>> np.random.randint(5, size=(2, 4))array([[4, 0, 2, 1],       [3, 2, 2, 0]])Jump toDESCRIPTION

缺点:我发现国内的某些库不支持 ,支合适那些开源库很大的

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Python Kite 使用教程 轻量级代码提示