FAANG | Competitive programming questions | Learning library

 by   neerazz Java Version: v1.0 License: No License

kandi X-RAY | FAANG Summary

kandi X-RAY | FAANG Summary

FAANG is a Java library typically used in Tutorial, Learning applications. FAANG has no bugs, it has no vulnerabilities and it has medium support. However FAANG build file is not available. You can download it from GitHub.

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              FAANG has a medium active ecosystem.
              It has 1522 star(s) with 447 fork(s). There are 39 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 3 open issues and 3 have been closed. On average issues are closed in 93 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of FAANG is v1.0

            kandi-Quality Quality

              FAANG has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              FAANG does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              FAANG releases are available to install and integrate.
              FAANG has no build file. You will be need to create the build yourself to build the component from source.

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            FAANG Key Features

            No Key Features are available at this moment for FAANG.

            FAANG Examples and Code Snippets

            No Code Snippets are available at this moment for FAANG.

            Community Discussions

            QUESTION

            Error when using SMA() function in quantmod package in R
            Asked 2021-May-30 at 18:59

            Newbie programmer here!

            I'm trying to create a stock price prediction model on FAANG stocks. I've installed the quantmod package to calculate technical indicators (50/200 day SMA, RSI, MACD) and add them as variables to a data set that includes stock price and open/close prices.

            ...

            ANSWER

            Answered 2021-May-30 at 06:48

            Since you are already using quantmod you can use getSymbols to download the data. The below works without any error.

            Source https://stackoverflow.com/questions/67757565

            QUESTION

            Limit user actions on certain functions. Uniquely identify unsigned in users
            Asked 2020-May-23 at 02:08

            I'm working on an api that includes sending emails for password resets and email confirmations. Along with functions like "user sign up".

            I'm trying to include an action limiter that allows users to perform these actions a limited amount of times within a given time frame to prevent malicious use.

            At first I thought using IP addresses would be fine because even malicious users run out of ip address eventually (at least that im aware) but then I realized this might block users who are in a large building and would possibly inconvenience VPN users.

            What is the best way to uniquely identify a user who is not signed in in order to limit their actions on certain functions? Is this possible? How does FAANG handle this?

            Here's an example I wrote in nodejs if anybody has any feedback and/or ideas on how to make this more unique I'd be all ears.

            ...

            ANSWER

            Answered 2020-May-23 at 02:08

            Notify users that the site will not work correctly without cookies enabled. Create the timestamp cookie when they enter the sign-up or sign-on page if it doesn't exist.. If a user requests to sign-in or sign-up and your cookie doesn't exist upon trying to read their timestamp, we know that they have cookies disabled or that it could be a malicious user.. If it exists obviously you'd compare the timestamps and update their cookie timestamp after the request logic has ran. Now if it doesn't exist tell them to enable cookies or the website won't work. This would prevent malicious use and kick IP Addresses out of the equation. If malicious users are truly a problem/concern for you the only way around the IP Address problem is with cookies, or with much more complicated logic than you currently have that attempts to identify malicious intent(could shoot yourself in the foot if it takes action against a false positive though I wouldn't recommend this route). Make sure you take steps to secure your cookie as well.

            If you don't want to go the cookie route, you can run logic over client data to try and identify users with things like timezone, fonts installed, screen resolution etc.

            A lot of websites require the use of cookies for full website functionality these days anyway; probably for this reason as well.

            You can set up a simple key value pair database on your server. When a user requests, take things like timezone, fonts installed, screen resolution etc, and change all that data into a string without spaces, then turn it into a strong hash(a hash that would change if just one character in the string was different). The resulting hash would be the key used to identify the user. The value associated with said key would be their unique timestamp that represents the last time they accessed the server. Additionally make sure you are pulling the width and height of the actual screen, not the browser viewport.. otherwise they could resize the screen to make themself seem like a unique user if they were able to even figure out how the server identifies you. Obviously if the hash is different upon client request it's relatively safe to assume it's a new user.

            With this method you wouldn't even need to use cookies. Additionally there are also loads of JS libraries that give more comprehensive client data, I suggest you check those out to build stronger unique hashes for a stronger identification of the client. To make it even better place the key value pair database on a proxy server and allow the request to the server if the conditions are met that are processed on the proxy server. Additionally you can use a service like Cloudflare to place in front of your proxy in case someone tries to DDoS the proxy server. If that happens you can get a new IP for the proxy and change it to the new IP on your DNS.

            Source https://stackoverflow.com/questions/61817137

            QUESTION

            Plotting n number of plots side by side
            Asked 2020-Jan-14 at 11:20

            I have the following script:

            ...

            ANSWER

            Answered 2020-Jan-08 at 20:22

            You can use matplotlib's subplots function to do this. Here is an example with a synthetic dataset:

            Source https://stackoverflow.com/questions/59589276

            QUESTION

            TypeError: unhashable type: 'list' when plotting multiple charts
            Asked 2020-Jan-04 at 11:16

            I have the following script:

            ...

            ANSWER

            Answered 2020-Jan-04 at 09:46
            Why are you getting this error?

            Dictionary keys must be hashable objects.

            In order for an object to be hashable, it should be an instance of a class that implements __eq__ and __hash__ methods.

            Objects of list type are not hashable.

            Side note: hashable does not mean immutable in python

            Solution

            You can use tuple instead of list:

            Source https://stackoverflow.com/questions/59589155

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

            Vulnerabilities

            No vulnerabilities reported

            Install FAANG

            You can download it from GitHub.
            You can use FAANG like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the FAANG component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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