yangshun / tech-interview-handbook

đź’Ż Curated coding interview preparation materials for busy software engineers
https://www.techinterviewhandbook.org
MIT License
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Grind 75 Feature Requests #275

Open yangshun opened 2 years ago

yangshun commented 2 years ago

This is a master issue to keep track of the Grind 75 features people are asking for:

nanomosfet commented 2 years ago

can we add simple auth from firebase or facebook so that if we switch computer or clear application memory we can still keep our progress?

https://firebase.google.com/docs/auth/web/firebaseui would be a way to add this.

WDYT?

yangshun commented 2 years ago

can we add simple auth from firebase or facebook so that if we switch computer or clear application memory we can still keep our progress?

@nanomosfet Everything can be added, it's just how much engineering maintenance overhead using a database results in. The way TIH and Grind 75 are built is (almost) purely static pages, resulting in fast performance and low engineering maintenance.

I do think will be useful when there are more users. How about this, when your comment gets 50 upvotes I'll look into implementing it. I'll start with the first upvote.

avijit1258 commented 2 years ago

@yangshun Can we have a feature like export the list as CSV? I think that can be a temporary solution for @nanomosfet feature. People can download the csv and save it in google drive or whatever they like and keep track themselves.

nanomosfet commented 2 years ago

JSON.parse(localStorage.getItem('1:completedQuestions')).join(',')

can get you the values of your completed questions as a CSV string if you do above in browser console when on grind 75 page

avijit1258 commented 2 years ago

it only gives the array of completed problems. not much helpful IMO. what I am looking for a csv which will have the problems link with week, time, difficulty so that we can simply use the csv to keep track and follow week-by-week. If we can download the list by customizing weeks and hours per week parameter, then download the csv that would be a helpful feature.

nanomosfet commented 2 years ago

if you copy the output of

JSON.parse(localStorage.getItem('1:completedQuestions')).join(',')

paste it into a file. then on the blank machine do

localStorage.setItem('1:completedQuestions',JSON.stringify('outputString'.split(',')))

you should be able to recover your progress.

but i think what you're asking is for a CSV of detailed info about the problems

in my case i was able to do

localStorage.setItem('1:completedQuestions', JSON.stringify('two-sum,valid-parentheses,merge-two-sorted-lists,best-time-to-buy-and-sell-stock,valid-palindrome,invert-binary-tree,valid-anagram,binary-search,flood-fill,maximum-subarray,longest-palindrome,majority-element,contains-duplicate,implement-queue-using-stacks,longest-substring-without-repeating-characters,evaluate-reverse-polish-notation,middle-of-the-linked-list,linked-list-cycle,lowest-common-ancestor-of-a-binary-search-tree,balanced-binary-tree,reverse-linked-list,first-bad-version,ransom-note,climbing-stairs,add-binary,min-stack,maximum-depth-of-binary-tree,insert-interval,k-closest-points-to-origin,3sum,01-matrix,diameter-of-binary-tree,binary-tree-level-order-traversal,clone-graph,course-schedule,search-in-rotated-sorted-array,number-of-islands,rotting-oranges,combination-sum,coin-change,implement-trie-prefix-tree,product-of-array-except-self,validate-binary-search-tree,permutations,merge-intervals,lowest-common-ancestor-of-a-binary-tree,time-based-key-value-store,sort-colors,word-break,spiral-matrix,partition-equal-subset-sum,subsets,accounts-merge,binary-tree-right-side-view,longest-palindromic-substring,meeting-rooms,lru-cache,letter-combinations-of-a-phone-number,container-with-most-water,word-search,unique-paths,construct-binary-tree-from-preorder-and-inorder-traversal,trapping-rain-water,merge-k-sorted-lists'.split(',')))

and my progress was restored

abepark26 commented 2 years ago

Hi @yangshun First of all, thank you for this awesome resource. This has been super helpful for my interview prep. I was looking through the repo to add the discussed feautres, but I could not find the Grind75 related files. Only thing that looked somewhat related was QuestionList.js in (/content/component) directory. Are files in a separate repo?

jasdrive1 commented 2 years ago

As a QOL request, would it be possible to add a timer to the page to say “you’re 9 days into your 4 weeks grind session”?

At some point, days just start to blend together and you can forget if you’re on day 10,11, or 12. Whereas if a timer was an option to be displayed on the page, that would make this easy to track.

The URL could change similar to how it does for custom Grind75 schedules, allowing this to be bookmarkable, in the example below, I use today (Aug-28-2022), which is 19,230 days since Jan 1 1970.

Currently, when you modify the default schedule, the URL is in the form https://www.techinterviewhandbook.org/grind75?hours={hours}&grouping=weeks&weeks={weeks}\

I propose just adding a &startDate={startDate} to the end of that, so the no-data would look like https://www.techinterviewhandbook.org/grind75?hours={hours}&grouping=weeks&weeks={weeks}\&startDate={startDate}

So 20 hours, 4 weeks, starting Aug-28-2022 would look like

https://www.techinterviewhandbook.org/grind75?hours=20&grouping=weeks&weeks=3&startDate=19230

BoxedFruits commented 1 year ago

It would be nice if we could click on the badge and have the corresponding cheatsheet open up in a new tab.

For example, this would open to https://www.techinterviewhandbook.org/algorithms/array/ image

SeanChinJunKai commented 1 year ago

An additional loading icon beside each question would help greatly in spaced repetition. Furthermore, I think that upon tapping of loading icon you can set custom reminders(eg 3 day gap) for the question to pop up in the notification section for you to revisit the questions.

mehak2323 commented 1 year ago

Can we add dark mode too. Couldn't see any option for it.

raju-kumar21 commented 1 year ago

I am a GSSoC'23 contributor. I have all the skills required. Please assign me this issue, I want to work on this issue under the GSSoC'23.

egithinji commented 1 year ago

Allow showing the topic for one question at a time.

Reason: Sometimes you want to view the topic just for one question but don't want any "spoilers" for the others, and it's hard to avoid seeing the next question's topic when you click Show topics

aaronthangnguyen commented 1 year ago

Another possibility is to use storage.sync to store study progress without having to maintain a database.

remusa commented 8 months ago

I made an userscript to backup my progress. Figured out I could share it here. Very basic, but maybe someone could find it useful.

https://github.com/remusa/userscripts/tree/master/src/grind-75-export

@yangshun

jinchaolu commented 5 months ago

For people looking for a way to export the Grind 75 questions to a CSV file, I am sharing this Python script for your convenience. You can tailor the columns for your own use.

Hope this helps others.

@yangshun @avijit1258 @nanomosfet

import json
import csv

def json_to_csv(json_file, csv_file):
    # Open the JSON file and load data
    with open(json_file, 'r') as f:
        data = json.load(f)

    # Open CSV file for writing
    with open(csv_file, 'w', newline='') as f:
        # Create a CSV writer object
        writer = csv.writer(f)

        # Extract specific keys
        keys_to_extract = ["id", "title", "url", "difficulty", "duration", "topic"]

        # Write header row
        writer.writerow(keys_to_extract + ['Week'])

        # Loop through all weeks
        for week, questions in data.items():
            week_number = week.split()[1]  # Extracting week number from week key
            for question in questions:
                row = [question[key] for key in keys_to_extract] + [week_number]
                writer.writerow(row)

        print("CSV file created successfully!")

def main():
    # File paths
    json_file_path = 'apps\website\contents\_components\QuestionGroups.json'
    csv_file_path = 'apps\website\contents\_components\QuestionGroups.csv'

    # Convert JSON to CSV
    json_to_csv(json_file_path, csv_file_path)

    print("Conversion successful!")

if __name__ == "__main__":
    main()
nalderto commented 2 months ago

Here's a GitHub gist of Grind 75 in Markdown that folks can fork to keep track of their progress between machines using GitHub.