CPAP | Core Python Applications Programming by Wesley Chun | Reverse Engineering library

by schedutron Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(8)Vulnerabilities Install Support

kandi X-RAY | CPAP Summary

CPAP is a Python library typically used in Utilities, Reverse Engineering applications. CPAP has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Core Python Applications Programming by Wesley Chun

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Quality

Security

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Support

CPAP has a low active ecosystem.

It has 96 star(s) with 54 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 0 have been closed. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of CPAP is current.

Quality

CPAP has no bugs reported.

Security

CPAP has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

CPAP does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

CPAP releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed CPAP and discovered the below as its top functions. This is intended to give you an instant insight into CPAP implemented functionality, and help decide if they suit your requirements.

Decorator to collect phase information .
Parse the grammar .
Build an ElementTreeBuilder .
Copy files from a wheel to the destination .
Run a YACC parser .
Wrapper for urlopen .
Prepare a file .
Install the wheel .
Get DOM builder .
Build a message .

Get all kandi verified functions for this library.

CPAP Key Features

No Key Features are available at this moment for CPAP.

CPAP Examples and Code Snippets

No Code Snippets are available at this moment for CPAP.

Community Discussions

Trending Discussions on CPAP

How to use complete.cases in gtsummary for each variable for doing a paired t.test instead doing complete.cases for full data frame?

Extending web scraping code to multiple pages

Execute a part of code after waiting for button to be clicked in selenium using python

Obtaining data on clicking multiple radio buttons in a page using selenium in python

How can I keep only unique values in the header and get values corresponding to these in different rows?

Scraping table data from multiple links and combine this together in one excel file

How to format correctly the output from Group-object

Can I use the Google Fit API to push my own data via a CLI?

QUESTION

How to use complete.cases in gtsummary for each variable for doing a paired t.test instead doing complete.cases for full data frame?

Asked 2022-Feb-01 at 09:39

I am trying to do a paired t.test on my data for pre-post analysis and uses gtsummary package to create the table. As I have missing data I filter the dataframe by complete.cases(.) but as it filter for all the columns I am loosing much data. Instead of that I want filter complete.cases() only for the particular variable it test for each time. Eg: if it is doing the test for variable1 it should check the complete.cases() for only variable1. Can someone please help me how to accomplish it? Following is the code I am using now.

...

ANSWER

Answered 2022-Feb-01 at 09:39

You can use !is.na(variable) to drop rows with NA values only for specific variable.

Source https://stackoverflow.com/questions/70936595

QUESTION

Extending web scraping code to multiple pages

Asked 2020-Jul-13 at 11:48

I have a set of products that are displayed on multiple pages. I need to go to each of these pages, and get the details. I wrote the following code but it seems that there is something wrong with the loop as the entries are obtained multiple times.

...

ANSWER

Answered 2020-Jul-13 at 11:48

import re
import requests
import pandas as pd
from bs4 import BeautifulSoup

def cpap_spider(max_pages):
    page=1
    while(page<=max_pages):
        url= "https://www.respshop.com/cpap-machines/auto-cpap/?cpapmachines=autocpap&page="+str(page)+"&redirectCancelled=1&sort=6a"
        product_info_url = 'https://www.respshop.com/product_info.php'
        headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.14; rv:65.0) Gecko/20100101 Firefox/65.0'}

        soup = BeautifulSoup(requests.get(url, headers=headers).content, 'html.parser')

        all_data = []
        for item in soup.select('td.name a'):
            sku = item.find_parent('table', class_="prod2_t").select_one('b:contains("SKU:")').find_next('td').text
            print(item.text, sku)
            products_id = re.search(r'p-(\d+)\.html', item['href'])[1]

            s = BeautifulSoup(requests.post(product_info_url, data={'products_id': products_id, 'tab': 3}, headers=headers).content, 'html.parser')

            row = {'Name': item.text, 'SKU': sku, 'URL': item['href']}
            for k, v in zip(s.select('#cont_3 td.main:nth-child(1)'),
                    s.select('#cont_3 td.main:nth-child(2)')):
                row[k.get_text(strip=True)] = v.get_text(strip=True)
            all_data.append(row)
        page+=1

    df = pd.DataFrame(all_data)
    df.to_csv('ACPAP.csv')
    
    
cpap_spider(3)

Source https://stackoverflow.com/questions/62873566

QUESTION

Execute a part of code after waiting for button to be clicked in selenium using python

Asked 2020-Jul-03 at 12:13

I have a webpage that displays some products. This webpage has around 50 products, and when i click on load more, more products are displayed. I want to extract information for all these. I have written a code for same. The problem however is, that the program proceeds with retrieving information without waiting for the button to be clicked. I have tried changing the time.sleep values to very high values, but no avail. Is there some other expression i could include to make the rest of the code wait till the button is clicked?

...

ANSWER

Answered 2020-Jul-03 at 12:13

The code is working just fine but you need to soup the source again with...

Source https://stackoverflow.com/questions/62690419

QUESTION

Obtaining data on clicking multiple radio buttons in a page using selenium in python

Asked 2020-Jun-30 at 23:03

I have a page, and I have 3 radio buttons on it. I want my code to consecutively click each of these buttons, and as they are clicked, a value (mpn) is displayed, I want to obtain this value. I am able to write the code for a single radio button, but I dont understand how i can create a loop so that only value of this button changes (value={1,2,3})

...

ANSWER

Answered 2020-Jun-30 at 23:03

Welcome to SO!

You were a small step from the correct solution! In particular, the find_element_by_xpath() function returns a single element, but the similar function find_elements_by_xpath() (mind the plural) returns an iterable list, which you can use to implement a for loop.

Below a MWE with the example page that you provided

Source https://stackoverflow.com/questions/62664988

QUESTION

How can I keep only unique values in the header and get values corresponding to these in different rows?

Asked 2020-Jun-26 at 13:20

I have a link, and within that link, I have some products. Within each of these products, there is a table of specifications. The table is such that first column should be the header, and second column the data corresponding to it. The first column for each of these tables is different, with some overlapping categories. I want to get one big table that has all these categories, and in rows, the different products. I am able to get data for one table (one product) as follows:

...

ANSWER

Answered 2020-Jun-26 at 07:31

Assuming that the headers are consistently the first row of each table, you just have to skip that row in every table but the first. A simple way to do that is to store the first row to process in a variable initialized to 0 and set it to 1 in the processing function. Possible code:

Source https://stackoverflow.com/questions/62589823

QUESTION

Scraping table data from multiple links and combine this together in one excel file

Asked 2020-Jun-26 at 08:48

...

ANSWER

Answered 2020-Jun-26 at 08:48

import requests
import pandas as pd
from bs4 import BeautifulSoup


url = 'https://www.1800cpap.com/cpap-masks/nasal'

def get_item(url):
    soup = BeautifulSoup(requests.get(url).content, 'html.parser')

    print('Getting {}..'.format(url))

    title = soup.select_one('h1.product-details-full-content-header-title').get_text(strip=True)

    all_data = {'Item Title': title}
    for tr in soup.select('#product-specs-list tr'):
        h, v = [td.get_text(strip=True) for td in tr.select('td')]
        all_data[h.rstrip(':')] = v

    return all_data

all_data = []
for page in range(1, 2):
    print('Page {}...'.format(page))
    soup = BeautifulSoup(requests.get(url, params={'page': page}).content, 'html.parser')

    for a in soup.select('a.facets-item-cell-grid-title'):
        u = 'https://www.1800cpap.com' + a['href']
        all_data.append(get_item(u))

df = pd.DataFrame(all_data)
df.to_csv('data.csv')

Source https://stackoverflow.com/questions/62588205

QUESTION

How to format correctly the output from Group-object

Asked 2020-Jun-10 at 15:04

I'am developing a script for one of our clients, they are using some accounting apps that need to be closed on the terminal server in order to update the apps from time to time.

I've came up with a script that will ask what the user want to do and then show him the correct out put, the thing is, that my out put looks like a hashtable when, and I don't know what to do in order to group the output correctly and organize it by the process name

here is a part of the code:

$apps = Get-Process CpaPlus,ShklMnNT,HonProj,hisMain,hazharon -IncludeUserName

$apps|Group-Object ProcessName

the output looks like that:

...

ANSWER

Answered 2020-Jun-10 at 15:04

If you want to group on both ProcessName and UserName, you'll have to tell Group-Object to do both:

Source https://stackoverflow.com/questions/62306049

QUESTION

Can I use the Google Fit API to push my own data via a CLI?

Asked 2020-Apr-11 at 14:33

I want to connect an application (Oscar) to Google Fit to record my CPAP results.

Oscar is an application and not a mobile or web app, so I would have to push the data manually. It doesn't seem to be a difficult job, but I'm wondering if it's allowed. I can't see anything that forbids desktop applications or CLIs to interact with Google Fit, but I can't see anything that allows it either. The documentation only talks about websites and apps.

...

ANSWER

Answered 2020-Apr-11 at 14:33

There is no reason in general why a command-line application cannot write data to fit: it's ultimately all just data.

However, the fact you are trying to write data about a medical device means that you cannot use Fit. From the terms of use:

Google does not intend Google Fit to be a medical device. You may not use Google Fit in connection with any product or service that may qualify as a medical device pursuant to Section 201(h) of the Federal Food Drug & Cosmetic (FD&C) Act.

Source https://stackoverflow.com/questions/61148694

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install CPAP

You can download it from GitHub.
You can use CPAP 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.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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