falcon | magic web data plane API and microservices framework | REST library
kandi X-RAY | falcon Summary
kandi X-RAY | falcon Summary
The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.
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Top functions reviewed by kandi - BETA
- Register an error handler
- Determines if we should wrap non - coroutines
- Check if a function is a python function
- Wrap non - coroutine functions
- Create a WS_ACESS event
- Translate a webSocket error into an error message
- Send a message
- Pump messages from the websocket
- Validate Range header
- Create a resolver function
- Receive a message from the server
- Creates a property property
- Inspect a compiled router
- Profile a VM
- Profile a benchmark
- The access route
- Find wheels and source dist
- Return a string representation of the middleware tree
- Create a function to encode uri
- Add a sink
- Creates a function to run before the given action
- Add a static route
- Default serialize error handler
- Decode a URI
- Creates a function that will be called after the given action
- Run the benchmarks
falcon Key Features
falcon Examples and Code Snippets
Lines of Code : 15
License : No License
Copy$ cat plugin.test.json
{
"exporter_urls": [
"http://127.0.0.1:9121/metrics"
],
"append_tags": ["region=bj", "dept=cloud"],
"endpoint": "127.0.0.100",
"ignore_metrics_prefix": ["go_"],
"metric_prefix": "",
"metric_type": {},
"defa # Say you have a form with those fields:
# - title => a string
# - image => an image file
def on_post(req, resp, **kwargs):
title = req.get_param('title')
image = req.get_param('image')
# Read image as binary
raw = image.file.r 000000F 000000F_002
000000F 000000F_003
000001F 000001F_001
000001F 000001F_002
000001F 000001F_003
module load snakemake
module load bwa/0.7.17
module load bedtools/2.27.1
module load samtools/1.7
module load mummer/4.0.0
out = pd.DataFrame(np.concatenate([df1.values,df2.values,df3.values]),columns=df1.columns)
Out[346]:
A B C D
0 A0 B0 C0 D0
1 A1 B1 C1 D1
2 A2 B2 C2 D2
3 A3 B3 C3 D3
4 A4 B4 C4 D4df2.columns = df2.columns.str[0]
df3.columns = df3.columns.str[0]
out = pd.concat([df1, df2, df3])
out = pd.concat([df1, df2.rename(columns=lambda x:x[0]), df3.rename(columns=lambda x:x[0])])
df['Contact phone number'] = df['Contact phone number'].str.replace(r'^(\d)(\d{3})(\d{3})(\d+)$', r'+1-\1-\2-\3-\4', regex=True)
>>> df['Contact phone number']
falcon +1-1-511-296-2271
dog df['Contact phone number'] = '+' + df['Contact phone number'].dropna().astype(str).str.extract(r'(\d)(\d{3})(\d{3})(\d{3})').apply(list, axis=1).str.join('-')
>>> df
Company phone number Contact phoexp_g = df['Emails'].explode().groupby(level=0)
df['Emails_final1'] = exp_g.first()
msk = df['Emails_final1'].notna()
df['Emails_final1'] = df['Emails_final1'].fillna(df['Emails 2'])
df['Emails_final2'] = exp_g.nth(1)
df['Emails_final2'] =df['Emails'] = df['Emails'].explode().groupby(level=0).first()
>>> df
Emails num_wings num_specimen_seen
falcon j@gmail.com 2 10
dog jzp@gmail.com out = df.groupby(df['index'].diff().ne(1).cumsum()).agg(list).reset_index(drop=True)
index Animals
0 [1, 2, 3] [alligator, bee, falcon]
1 [69, 70, 71] [lion, monkey, paCommunity Discussions
Trending Discussions on falcon
QUESTION
I am doing a query on Google Big query, I have joined the 2 tables and created a new column "total gmv" using "SUM" to represent the total revenue, now I wanted to show only the top 2 vendors , GROUP BY country in my query.
I manage to show total_gmv group by COUNTRY and vendor_name, but I would like to filter to show top 2 vendors for each country only.
Code I used
...ANSWER
Answered 2021-Jun-10 at 02:56Use ROW_NUMBER:
QUESTION
I have an assignment for a car rental system which requires the program to read the from a CSV file, which contains each car and its specifications.
I will need to store the values into an array, as I will need to count how many cars are left after one is hired, as well as calculate the cost which is listed for each car.
...ANSWER
Answered 2021-Jun-06 at 06:01Splitting by comma, is the right way, you just need to store the the array returned from the split function into an ArrayList or an array of Strings array, like this:
QUESTION
We think we have an issue with our inheritance, but we don't know how to solve it. (We have Class OOP)
Console prints...
...ANSWER
Answered 2021-May-30 at 15:43You declare inheritance as public. You do not declare constructors the same way.
In other words:
QUESTION
EXAMPLE DF
...ANSWER
Answered 2021-May-26 at 14:06We can check groupby with diff
QUESTION
I am looking to build a simple logic to let user define which templates that should be called upon. The code illustrates a minimized example. The setup is very useful when having many templates, e.g. the output I am building is about 2.600 lines of XHTML code. Then it is very good being able to exclude several templates to focus on only some of the templates.
I have created above setup (previously) successfully having XML as source file and modularized code. I suspect it is my setup with having JSON as source file and the adaption of code that causes the problem.
Below code should allow the user to switch variable "build-with-books" from 0 to 1, and if set to 1, the "if" element should call the included template.
I am sure that there are many "smarter" way of solving my needs. Currently I am just looking to understand why my code does not follow the wanted logics of switching on/off the build of elements.
XSLT fiddle is down so I just paste my code below:
data:
...ANSWER
Answered 2021-May-21 at 07:21Start
Delete this part from principal.xsl: (call-template uses the current context and that is still your match on data)
QUESTION
I am miserably stuck at Pandas Data Cleaning. I have made a very simple example to demonstrate my problem. For each row, I want to delete/alter the duplicate and keep the last one. Currently, my DataFrame is 'animals'. And I want it to be the DataFrame 'animals_clean'
Imagine this DataFrame. You can see duplicates along axis=0, e.g. 'cat' is repeated in row 0
...ANSWER
Answered 2021-May-17 at 23:52Try apply + mask + duplicated with keep='last':
QUESTION
I would like to split variables into the different types. For example:
...ANSWER
Answered 2021-May-14 at 02:12That was surprisingly more complicated that I thought it would be, but here is a work around using list comprehension:
QUESTION
I have created lambda function in AWS which send mail to various recipients. I need to add company logo/banner at bottom of the mail. Below is the code
...ANSWER
Answered 2021-May-13 at 04:06Here are some of the options:
- If you can use
CloudFrontin-front of S3 and use the CloudFront URL for the static content, do so. Here is more information. - You can also host the static content on any publicly accessible website e.g. on Github pages which is also a CDN for free.
- You can use Data URLs in place of the images. You must convert the images to the Base64 encoded version and use them directly in the HTML.
- You can use SVG as an image. You must convert your existing images to SVG and directly embed the contents in the HTML.
QUESTION
Input
...ANSWER
Answered 2021-May-03 at 00:43If you put the conditions into a dictionary, you can automatically assign() an arbitrary number of conditions as columns:
QUESTION
So I have a json list and use two input request.args.get('sport') and request.args.get('team') to find those values in my list. If the value is found I want to output more info on the team and sport.
This is what I tried to do:
...ANSWER
Answered 2021-Apr-25 at 17:58 for team in scores_list['scores']:
teams_list.append("{} ({}) ({}) {} ({}) - ({}) {}".format(team['full_name'], team['date'],
team['sport'], team['home_name'],
team['home_score'], team['away_score'],
team['away_name']))
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install falcon
You can use falcon like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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