Python
Python is a dynamically typed programming language designed by Guido van Rossum. Much like the programming language Ruby, Python was designed to be easily read by programmers. Because of its large following and many libraries, Python can be implemented and used to do anything from webpages to scientific research.
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A description is incomplete. It should mention:
These patterns are not competing, but complementing each other. To achieve availability, one needs both fail-over and replication.
right after
"There are two main patterns to support high availability: fail-over and replication. "
A curated list of awesome Python frameworks, libraries, software and resources
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Updated
Jan 23, 2020 - Python
Hey,
I'm new to github and thought this repo would be a good opportunity to get familiar and contribute a simple algorithm. I noticed the sorts folder is lacking a recursive implementation of the insertion sort. Is it OK if I add one?
Huge and nice collection and also getting very much appreciated from the community.
It would be great if somebody can translate into English then it will be reaching out to global.
Dead Links
Expected Behavior
Missing templates should raise a TemplateNotFound exception with the correct template name.
Actual Behavior
The top-level template is used as the error string even when it is not the template that failed.
There appears to be an issue in Flask's DispatchingJinjaLoader. If a template called parent.html fails to find a sub-template such as `{% extends child
Some lines in the code block of the keras docs is too long, the result of which is, there will be a horizonal scroll bar at the bottom of the code block. That is hard to read. The long lines should be rearranged to multiple short lines to improve readibility.
Example:
The docs for the SimpleRNN class (https://keras.io/layers/recurrent/#simplernn). The initializer of SimpleRNN has m
In = syntax,
- double quotes (
") - back slashes (
\) - non-ascii characters
$ http -v httpbin.org/post \
dquote='\"' \
multi-line='line 1\nline 2' SUMMARY
When using such task items on output are duplicated.
- name: Prepare static directories
action: file path={{ item }} state=directory owner={{ owner }} group={{ owner }} mode=0750
with_items:
- "/opt/backups/{{ target_server }}/{{ site_name }}"
- "/opt/files/{{ site_name }}"
when: skip_create_files_dir is undefined or skip_create_files_dir != "1"
When i import requests and run help(requests), Output is this:
ESCRIPTION
Requests HTTP Library
~~~~~~~~~~~~~~~~~~~~~
Requests is an HTTP library, written in Python, for human beings. Basic GET
usage:
>>> import requests
>>> r = requests.get('https://www.python.org')
>>> r.status_code
200
>>> 'Python is a programming lang
I'm clearly overlooking something because I'm very confused.
Right now the default for values_format is .2g with seems not ideal as it formats 110 as 1.1+e01:
"{:.2g}".format(110)'1.1e+02'
Changing the precision doesn't really help.
There's a pretty easy way to fix this, but not with any standard python formatting from what I can see:
https://stackoverflow.com/qu
trainable_variables = weights.values() + biases.values() doesn't work.
Also if I write trainable_variables = list(weights.values()) + list(biases.values()), I have to turn on tf.enable_eager_execution(), but the training result is wrong, accuracy is ar
This is not an issue related with the code itself but with Scrapy.
I've seen that the only Wikipedias with the Scrapy entry are:
I think it could be a good idea to create this issue
LogCumsumExp
🚀 Feature
Add numerically stable cumulative logsumexp function. Also we have associated PR on cummax that is needed for numerically stable implementation (pytorch/pytorch#20240).
Motivation
This is useful when computing sum of probabilities and have different applications.
Pitch
Torch has cumsum and cumprod so I suggest logcumsumexp to be added.
Update the tutorial for "Building a container from scratch in Go - Liz Rice (Microscaling Systems)"
Description
The instructor in the above mentioned video has created a new version of the same tutorial, which can be found here
Why
It is always good to keep resources and tutorials up-to-date. The new video talks about namespaces, chroot and cgroups, and speaks about containers at a greater depth.
Is this something you're interest
Target Leakage in mentioned steps in Data Preprocessing. Train/test split needs to be before missing value imputation. Else you will have a bias in test/eval/serve.
Upgrade NSIS
We're currently pinning an old version of NSIS. @adferrand proposed that before we upgrade the pinned version, we finish integration tests described at certbot/certbot#7539 (review) to ensure that upgrades still work when the NSIS version
你的朋友正在使用键盘输入他的名字 name。偶尔,在键入字符 c 时,按键可能会被长按,而字符可能被输入 1 次或多次。
你将会检查键盘输入的字符 typed。如果它对应的可能是你的朋友的名字(其中一些字符可能被长按),那么就返回 True。
示例 1:
输入:name = "alex", typed = "aaleex"
输出:true
解释:'alex' 中的 'a' 和 'e' 被长按。
示例 2:
输入:name = "saeed", typed = "ssaaedd"
输出:false
解释:'e' 一定需要被键入两次,但在 typed 的输出中不是这样。
示例 3:
输入:name = "leelee", typed = "lleeelee"
输出:true
示例 4:
输入:name = "laiden", typ
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该项目已达到最低可行的产品质量水平。虽然贡献者将它作为日常驱动程序,但它可能对某些命
令不稳定。未来版本将填补缺失的功能并提高稳定性。它的设计也随着成熟而变化。Nu附带了一组内置命令(如下所示)。如果命令未知,命令将弹出并执行它(在 Windows 上使
用 cmd 或在 Linux 和 MacOS 上使用 bash),正确地通过 stdin,stdout 和 stderr,所以像你的日常 git 工作流程甚至 vim 可以正常工作。还有一本关于 Nu 的书,目前正在进行中。
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I think listing anti-patterns with some basic reasoning about "why not" is a good idea.
Example - singleton. Although #256 has "won't fix" label
- it is in PRs section, and people (if searching history at all) are searching issues first.
- it was misspelled, Singelton instead of Singleton, therefore impossible to find
Listing most popular anti-patterns (without actual implementation) shou
Code Sample, a copy-pastable example if possible
dataframe = pd.DataFrame({'x': [1, 2, 3], 'y': ['a', 'b', 'c']})
series = dataframe.stack()
print(series.to_json(orient="index"))The keys in the output have unescaped quotes in them, resulting in invalid JSON. Output here is indented for clarity:
{
"[0,"x"]": 1,
"[0,"y"]": "a",
"[1,"x"]": 2,AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
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Updated
Jan 23, 2020 - Python
When trying to run notebook using binder, every time a cell has import matplotlib.pyplot as plt I get an error:
I was checking in the notebooks that the matplotlib version in this binder is '1.5.1', not sure if that is the problem, but as right now I can't run any notebook that has import matplotlib.pyplot as plt
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https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/toco
Tflite converter is missing the usage documentation exmaple links :
link 1
link 2
the flags are needed to