Python Kite 使用教程轻量级代码提示

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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 for macOS or Linux win 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

SIGNATURE
low,
high=None,
size=None,
dtype='l'
RETURNSint | ndarray
HOW OTHERS USED THIS
randint(low, high)
randint(low)
randint(low, high, size)
randint(low, size)
randint(low, high, size)
DOCUMENTATION
randint(low, high=None, size=None, dtype='l')Return random integers from `low` (inclusive) to `high` (exclusive).Return random integers from the "discrete uniform" distribution of
the 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]])
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