Extracting Data from the HTTP Remaining API, Configuring the HTTP Request Header for Cookie Authentication

I need to extract data from the HTTP Web API. However, it requires a cookie authentication. I can retrieve the cookie information when I look at the Chrome browser. However, I do not know how to configure headers and authentication type in Azure Data Factory V2. Can you please give us some details? (I successfully extracted the data for token-based authentication, but cookie one, I do not know how.)

python – loop for extracting JSON from data frames and storing in a new data frame

I have a data frame (derived from a CSV file stored by MySQL) with multiple columns, one of which consists of a string representing the representation of a JSON. The data looks like this:

id   email_id     provider  raw_data       ts
1    aa@gmail.com    A      {'a':'A',   2019-23-08 00:00:00
                             'b':'B',
                             'c':'C',

And what is my desired issue:

email_id      a   b   c  
aa@gmail.com  A   B   C  

What I have coded so far is this:

import pandas as pd
import ast

df = pd.read_csv('data.csv')
df1 = pd.DataFrame()

for i in range(len(df)):
    dict_1 = ast.literal_eval(df('raw_content')(i))
    df1 = df1.append(pd.Series(dict_1),ignore_index=True)

pd.concat((df('email_id'),df1))

This works, but has a very big problem: it's extremely low (it takes hours for 100,000 rows). How could I speed up this process?

Complexity of the calculation of $ f ^ {(n)} (0) $ / Extracting a coefficient of a function series

Many combinatorial problems can be solved using generation functions.

In such a case, we get a function $ f (x) $that (usually) has a Taylor expansion:
$$
f (x) = sum_ {n ge 0} a_n x ^ n
$$

Thus the coefficients $ a_n $ are exactly the elements of the sequence we are looking for.

Furthermore, we can assume that the function $ f (x) $ is given in closed form, d. H. as a finite function constructed using only elementary functions.

Unlike the determination of Taylor expansion, we now want a single coefficient $ a_k $fixed for some $ k $,

What is the most efficient way to do this?


addendum:

I've already asked the question on math.stackexchange, where I got an answer to which I am bound $ mathcal O (log_2 (n) ^ alpha) $ is possible. However, I can not figure out from the answer how this limit is established.

Performance Optimization – Optimal method for extracting the "positive part" of a multivariate polynomial

I have multivariate polynomials with numerical coefficients like e. G.

p - s - p q^2 s^2 + 3 r s^2 + 3 r^2 s^2 - p r^2 s^2 - 2 q r^2 s^2 - 2 r^3 s^2 + s^3

and I want to take the sum of these monomials only with positive coefficients.

Although for my purposes

FromCoefficientRules[Select[CoefficientRules[poly],Last[#]>0&],Variables[poly]]

It seems to be fast enough, it's about translating into another form and back, so I think there's a better way to do that, probably using some tricks on the internal representation of polynomials.

Is there?

Plotting – Extracting points from a 3D plot that lie along a random line

seedRandom[5]
d = RandomReal[1, {100, 3}];

You can use -5 + 3 # - # 2 & (or function[{x, y}, -.5 + 3 x - y]) as a setting for MeshFunctions in the ListPlot3D:

show[lp3d = ListPlot3D[d, MeshFunctions -> {-.5 + 3 # - #2 &}, 
    Mesh -> {{0}}, MeshStyle -> Directive[Red, Thick], BoundaryStyle -> None].
Graphics3D[{Thick , Blue, Line[{{0, -.5, 1}, {0.5, 1, 1}}].
opacity[.5, Yellow], EdgeForm @ None,
InfinitePlane[{{0, -.5, 0}, {0, -.5, 1}, {0.5, 1, 1}}]}]]

Enter image description here

To extract the points on the red line:

cases[Normal @ lp3d, Line[x_] :> x, all][[1]]

{{0,492,655, 0,977,959, 0,559,503}, {0,491386, 0,973947,
0.484,166}, {0,477,966, 0,933211, 0,303948}, {0,476062, 0,92816,
0.451244}, {0.4574646, 0.878862, 0.640324}, {0.457492,
0.872273,
0.586974}, {0.454029, 0.861943, 0.568448}, {0.441994,
0.825895,
0.39336}, {0.396855, 0.690417, 0.20754}, {0.395551, 0.686462,
0,255,852}, {0,392548, 0,677572, 0,17963}, {0,350,269, 0,550,753,
0.612022}, {0.341512, 0.524435, 0.760695}, {0.313441,
0.440292,
0.52727}, {0.304016, 0.411343, 0.164743}, {0.300216, 0.400556,
0,123016}, {0,293312, 0,379549, 0,431375}, {0,279583, 0,33874,
0.571648}, {0,267421, 0,302245, 0,850239}, {0,266,698,
0.299818,
0.85685}, {0.226072, 0.177329, 0.737677}, {0.217928, 0.152775,
0.650557}, {0.192837, 0.0784445, 0.831587}, {0.187349,
0.0619587,
0.854096}, {0.174868, 0.024533, 0.602241}}

infopath – Extracting data from the manifest.xsf file with PowerShell

Hi, I'm trying to extract information about the rules that are applied to a number of InfoPath forms and use Powershell for that.

I unpacked that template.xsn File and found the manifest.xsf File that stores this data.

Use the PowerShell [xml]$ ProjectXmlFile = Get-Content manifest.xsf In order to get the XML data, I have problems correctly identifying the nodes.

The nodes are labeled with the "xsf:"Precursor, for example:


    The form can not be sent due to an error.
    
        
        
    

How do I identify these nodes to output the information as normal XML data (that is, if the node was not prefixed with "xsf:")?

I tried to use that:

foreach ($ DataQuery in $ ProjectXmlFile. # xsf: xDocumentClass # 39; xsf: dataObjects # 39; xsf: dataObject # 39; xsf: query & # 39; xsf: sharepointListAdapterRW & # 39;
{
Write-Host "DataQuery.name = $ ($ DataQuery. # Xsf: name #)"
}

Or is there another reason why I can not access these nodes?

Speech Discussion – Python Extracting specific data from a large file

Background information to this code before I ask this question. I'm trying to write a code that extracts certain data from a very large text file (over 900,000 lines). Batch ID = Q19176, Wafer ID = 19, Chip X Coordinate = 11, Chip Y Coordinate = 53

I'm just looking for that information to be printed out in the format "Q19176_19_11_53" above. There are a few thousand lines containing the LOT IDs, Wafer IDs, and the x and y coordinates. The numbers vary every time. I need help with what the code would look like.

Design Pattern – Should I pass $ element while extracting functions or return HTML + callback function?

I can not think of a clean way to create this pattern, which has been in my javascript for years and amounts to adding HTML and a related event listener.

The first pattern looks cleaner, but has a logical effect on the results of my reading about functional programming.

Function first ($ el) {
$ el.html (& # 39;
& # 39); $ el.find (& # 39; asdf & # 39;). on (& # 39; something & # 39 ;, () => {}); } first ($ (& # 39; body & # 39;));

The second pattern looks very ugly, so I'm really not a fan of it.

Function second () {
let html = & # 39;
& # 39 ;; let callback = function ($ el) {$ el.find (& # 39; asdf & # 39;). on (& # 39; something & # 39 ;, () => {});} return [html, callback] } let asdf = second (); let $ el = $ (& # 39; body & # 39;); $ el.html (asdf[0]); asdf[1]($ el);

Is there a pattern for doing this without making it ugly?

(If someone can find a better title, he can edit it.)