alma | Create Arch Linux based bootable USB drives
kandi X-RAY | alma Summary
kandi X-RAY | alma Summary
Almost every live Linux distribution out there is meant for a specific purpose, whether it's data rescue, privacy, penetration testing or anything else. There are some more generic distributions but all of them are based on squashfs, meaning that changes don't persist reboots. ALMA is meant for those who wish to have a mutable live environment. It installs Arch Linux into a USB or an SD card, almost as if it was a hard drive. Some configuration is applied in order to minimize writes to the USB and making sure the system is bootable on both BIOS and UEFI systems. Upgrading your packages is as easy as running pacman -Syu (or Topgrade) while the system is booted. This tool also provides an easy chroot command, so you can keep your live environment up to date without having to boot it. Encrypting the root partition is as easy as providing the -e flag.
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QUESTION
This was a problem on Pramp. The question:
The awards committee of your alma mater (i.e. your college/university) asked for your assistance with a budget allocation problem they’re facing. Originally, the committee planned to give N research grants this year. However, due to spending cutbacks, the budget was reduced to newBudget dollars and now they need to reallocate the grants. The committee made a decision that they’d like to impact as few grant recipients as possible by applying a maximum cap on all grants. Every grant initially planned to be higher than cap will now be exactly cap dollars. Grants less or equal to cap, obviously, won’t be impacted.
Given an array grantsArray of the original grants and the reduced budget newBudget, write a function findGrantsCap that finds in the most efficient manner a cap such that the least number of recipients is impacted and that the new budget constraint is met (i.e. sum of the N reallocated grants equals to newBudget).
Analyze the time and space complexities of your solution.
This is what my solution looks like, in PHP.
...ANSWER
Answered 2021-Jun-13 at 19:39You should try and reduce the repetition of calculations, so the maximum budget can be worked out before the foreach
loop. Also rather than have an if
to check if it's above this value, then use min
to take the lowest of the entry and the maximum budget
QUESTION
I am trying to sort this file that has this information below
...ANSWER
Answered 2021-May-28 at 04:45Below part is problematic in some ways:
QUESTION
Example:
Here is my code of C#
This is regular expression demo in C# in dotfiddle.
...ANSWER
Answered 2021-May-20 at 08:10You need to escape \d
in your javascript for it to be equivalent to the C# regex. It should be like this: '^(50|70)(4|5)\\d{9}$'
. In your C# code you prefixed the string with a @ which makes this unnecessary there.
If you want these as similar as possible to avoid confusion, you could change your C# pattern to string regex = "^(50|70)(4|5)\\d{9}$";
.
QUESTION
I have a dataframe (df_email) where one row corresponds to an incoming email. Some of the emails cannot be identified by sender email adress, so I try to identify it by looking for names in the email content. I have a list of names, and I can find out if I have any items from my list of names matching like this:
...ANSWER
Answered 2021-May-03 at 13:28You can use str.findall
with the '|'.join(Names)
regex you were using:
For example, if your dataframe looks like this:
QUESTION
following are my files for html, .ts and json . As json data was very extensive therefore i have just added a few states and their cities. my 1st dropdown is showing all states. Now I want to match my 1st dropdown's selected value of state with a key "state" in "cities" object in my json file so i can populate 2nd dropdown with cities relevant to that state. and I want to do this in function "getCitiesForSelectedState". please help me find solution for this.
//.ts file
...ANSWER
Answered 2021-Apr-27 at 16:44You can do it with the $event
parameter.
Make sure to compare your values safely.
If your value is not in the right type or has spaces or unwanted chars, this c.state == val
might not work.
You can use the trim
function to compare your value safely:
c.state.trim() == val.trim()
HTML
QUESTION
I have a .txt file that has the text output from a SQL Server 19 database query. I am trying to organize the columns of the file into columns in a Pandas DataFrame. The following text is an example of the .txt file (it has 193k lines in this format):
...ANSWER
Answered 2021-Apr-17 at 17:56To load file with fixed width columns, you can use pd.read_fwf
:
QUESTION
I have a very large excel file of 1000+ street intersections that I need to find the Longitude and latitudes for and then write that info to file/list for a different program to consume.
What I'm stuck on is on how to build a more efficient script using multithreading/multiprocessing, I have looked through other questions/post but I'm i find it all a bit confusing. The code below takes roughly ~ 10+ mins. Any help would be great.
...ANSWER
Answered 2021-Apr-09 at 21:57The problem does not comes from Pandas but ArcGIS().geocode(address)
which is insanely slow. Indeed, on my machine, this line takes 400 ms/request. Each request send a slow network query to the online ArcGIS API. Using multiprocessing will not help much as you will quickly reach additional limitations (limited rate of API request, saturation of the website). You need to send batch requests. Unfortunately this does not seems supported by the geopy
package. If you are tied to ArcGIS, you need to use their own API. You can find more information about how to do that on the ArcGIS documentation.
QUESTION
Attempt
After reading a large json file and capturing only the 'text'
column, I would like to add a column to dataframe and set all rows to a specific value:
ANSWER
Answered 2021-Feb-19 at 04:23The problem is that your read_json(....).text
line returns a series, not a dataframe.
Adding a .to_frame()
and referencing the column in the following line should fix it:
QUESTION
I have been writing a TradingView study and have this issue where I am passing a length
variable into the ema
function, and it gives the error:
Cannot call 'ema' with arguments (series[float], series[integer]); available overloads: ema(series[float], integer) => series[float]
I have narrowed down the cause of the problem to be the length
variable being assigned in a loop.
Here is some simplified code that replicates the problem:
...ANSWER
Answered 2021-Jan-08 at 17:06for
loops produces series. You can use alexgrover's Ema()
function which accepts a series period:
QUESTION
I am looking to a data science project where I will be able to sum up the fantasy football points by the college the players went to (e.g. Alabama has 56 active players in the NFL so I will go through a database and add up all of their fantasy points to compare with other schools).
I was looking at the website: https://fantasydata.com/nfl/fantasy-football-leaders?season=2020&seasontype=1&scope=1&subscope=1&aggregatescope=1&range=3
and I was going to use Beautiful Soup to scrape the rows of players and statistics and ultimately, fantasy football points.
However, I am having trouble figuring out how to extract the players' college alma mater. To do so, I would have to:
- Click each "players" name
- Scrape each and every profile of the hundreds of NFL players for one line "College"
- Place all of this information into its own column.
Any suggestions here?
...ANSWER
Answered 2020-Dec-16 at 11:03There's no need for Selenium, or other headless, automated browsers. That's overkill.
If you take a look at your browser's network traffic, you'll notice that your browser makes a POST request to this REST API endpoint: https://fantasydata.com/NFL_FantasyStats/FantasyStats_Read
If the POST request is well-formed, the API responds with JSON, containing information about every single player. Normally, this information would be used to populate the DOM asynchronously using JavaScript. There's quite a lot of information there, but unfortunately, the college information isn't part of the JSON response. However, there is a field PlayerUrlString
, which is a relative-URL to a given player's profile page, which does contain the college name. So:
- Make a POST request to the API to get information about all players
For each player in the response JSON:
- Visit that player's profile
- Use BeautifulSoup to extract the college name from the current player's profile
Code:
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