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    Your task is to scrape word entries from [url removed, login to view] , a French dictionary website. I don't care what format you use (it can be either csv/txt/xml/excel/access) in the end, but I need you to follow the following conditions VERY CAREFULLY. You have to use these following columns, see attachment 1 (most preferred result

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    I want a piece of python c...retrieve all the data tradingview sends over it's websocket, including offscreen information (older data). For example: BITTREX:ARKBTC_30 for 30 minutes. 3) It should make a dictionary with timestamp, open, high, low, close, volume that is easy to use or put in a local database from within python or use with calculations.

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    ...Writing out the content, which is provided in the attachment to be used. Note; you will need to be able to type this accurately, this is not typical English, but is all in the English language dictionary. Services and prices, phone numbers, times and all the details on the flyers. • Transfer from temp URL to live URL • Imbed a google map or similar

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    ...by one of the players, how do I detect which player is it, among all these players already defined in the Players Dictionary (already constructed and now available), who has clicked on that button? This is illustrated in the PNG file attached to this project for reference. Build delegates to do these and add listeners. Final output: Only need

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    website scraping a dictionary website about 1 million words. very easy please text me to send you the website

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    ...everytime the Clicked() method gets called in the game Manager you know exactly which player clicked." Currently all Players are already stored in Players Array in my Players Dictionary. Pls see also the attached PDF: [url removed, login to view] for more info. -You need to create a Delegate. -You need to make the button detect

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    ...address, etc.) is kept in a text file on your disk. Your program will read this employee data from the file and use that data to calculate the payroll for company employees. The program will have to calculate the payroll deductions for each employee and their net pay. If you encounter errors while reading a data file, print an error message to the

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    ...camera translation: Use your camera to translate text instantly in 38 languages • Camera Mode: Take pictures of text for higher-quality ...Free online translator enhanced by dictionary definitions, pronunciations, synonyms, examples and supporting the 19 languages most used on the web....

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    program and knowledge transfer to maintan the software.. data base software that can search for knowledge base and information .. like dictionary for my company

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    ...The feed in the app (loaded from /feed), includes 3 types of items: notification, goals, appointments. The 'notification' type, has an 'action' attached to it. That is a dictionary on its own. One of the fields within an action is called 'click'. Example: { type: 'notification', body: 'Schedule', action: { ...

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    ...iOS app. But you will build the full app from scratch. Android code will be provided to the selected candidate. iOS App: [url removed, login to view] Android App: [url removed, login to view] You need to rebuild the app from scratch using latest

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    ...especially those that you find personally of interest. Project Report The project report should contain the following: l. Data set description: What is in the data (provide data dictionary) and what preprocessing was done to make it amenable for association rule mining. Where choices were made (e.g., parameter settings for discretization, or decisions to ignore

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    ...especially those that you find personally of interest. Project Report The project report should contain the following: l. Data set description: What is in the data (provide data dictionary) and what preprocessing was done to make it amenable for association rule mining. Where choices were made (e.g., parameter settings for discretization, or decisions to ignore

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    ...especially those that you find personally of interest. Project Report The project report should contain the following: l. Data set description: What is in the data (provide data dictionary) and what preprocessing was done to make it amenable for association rule mining. Where choices were made (e.g., parameter settings for discretization, or decisions to ignore

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    ...especially those that you find personally of interest. Project Report The project report should contain the following: l. Data set description: What is in the data (provide data dictionary) and what preprocessing was done to make it amenable for association rule mining. Where choices were made (e.g., parameter settings for discretization, or decisions to ignore

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    ...especially those that you find personally of interest. Project Report The project report should contain the following: l. Data set description: What is in the data (provide data dictionary) and what preprocessing was done to make it amenable for association rule mining. Where choices were made (e.g., parameter settings for discretization, or decisions to ignore

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    ...especially those that you find personally of interest. Project Report The project report should contain the following: l. Data set description: What is in the data (provide data dictionary) and what preprocessing was done to make it amenable for association rule mining. Where choices were made (e.g., parameter settings for discretization, or decisions to ignore

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    Data mining Ended
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    ...especially those that you find personally of interest. Project Report The project report should contain the following: l. Data set description: What is in the data (provide data dictionary) and what preprocessing was done to make it amenable for association rule mining. Where choices were made (e.g., parameter settings for discretization, or decisions to ignore

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    ...especially those that you find personally of interest. Project Report The project report should contain the following: l. Data set description: What is in the data (provide data dictionary) and what preprocessing was done to make it amenable for association rule mining. Where choices were made (e.g., parameter settings for discretization, or decisions to ignore

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    the main concept of the game surrounds the forming of words, based on the English dictionary. It is a casual game with the aim of involving users to form words from a limited supply of letters, and generate points based on the strength of their vocabulary. It is simply a word creation game, with some similarities to popular games like Scrabble, 4-Pics-1-Word

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