steem | Smart Media Tokens and decentralized applications | Blockchain library

 by   steemit C++ Version: v0.23.0 License: Non-SPDX

kandi X-RAY | steem Summary

kandi X-RAY | steem Summary

steem is a C++ library typically used in Blockchain applications. steem has no bugs, it has no vulnerabilities and it has medium support. However steem has a Non-SPDX License. You can download it from GitHub.

Welcome to the official repository for Steem, the blockchain that will revolutionize the web, and soon the blockchain for Smart Media Tokens!. Steem is the first blockchain which introduced the "Proof of Brain" social consensus algorithm for token allocation. Being one of the most actively developed blockchain projects currently in existence, it's become fertile soil for entrepreneurial pursuits. It has also become home for many cryptocurrency centric projects. Steem aims to be the preferred blockchain for dApp development with Smart Media Tokens at its core. With SMTs, everyone can leverage the power of Steem. Originally, Steem was announced on the Bitcointalk forum prior to the start of any mining. (Steem is currently not mineable).
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              steem has a medium active ecosystem.
              It has 1945 star(s) with 807 fork(s). There are 226 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 346 open issues and 1832 have been closed. On average issues are closed in 156 days. There are 8 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of steem is v0.23.0

            kandi-Quality Quality

              steem has 0 bugs and 0 code smells.

            kandi-Security Security

              steem has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              steem code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              steem has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              steem releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              It has 44782 lines of code, 5057 functions and 430 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

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            steem Key Features

            No Key Features are available at this moment for steem.

            steem Examples and Code Snippets

            No Code Snippets are available at this moment for steem.

            Community Discussions

            QUESTION

            Filtering data out of an api in python?
            Asked 2021-Aug-03 at 14:34

            I try to filter out some specific data out of the list I get from an api request of a crypto price ticker.

            This prints all the data:

            ...

            ANSWER

            Answered 2021-Aug-03 at 13:46

            The data variable is a list with dictionaries and the dictionaries have the values you want.So, you just need to dig in a bit deeper for the data you want.

            Steps:
            • Firstly, access each dictionary in the list using a for loop
            • Check if the "market" value for the current dictionary is among ["BTC-EUR","ETH_EUR"] or not
            • If it is, print the price for those values

            Try:

            Source https://stackoverflow.com/questions/68636851

            QUESTION

            Examine data after building Machine Learning model in python
            Asked 2021-Jul-12 at 14:19

            I built a sentiment analysis model in Arabic; in Python; after building the model, how can I test it with external data and how to build the code for that?

            When I fitting the model, I extracted the features via tf-idf, and the problem I faced is dealing with it when I want to test external data after I trained the model on the training and test data.

            summary : After I trained the model and reached an accuracy of 88%, I want to build a code that tests the model with external data..

            ...

            ANSWER

            Answered 2021-Jul-12 at 14:19

            In order to test the model (use the model to predict on unseen data), you should use the .predict or .transform function (with sklearn).

            In your code you separated the preprocessing functions and the model training functions which is good. But the fact that you combine the test and the train data is not good. The test data should be your "external data". Also you tread the TfIdf as a preprocessing step applied to both the test and train data, but the tfidf_vectorizer.transform should only be applied to the train data ! If you fit all your data in the TfIdf then you will not know how your model will behave when it haven't seen some words of the input.

            With sklearn I usually organize my code as follow:

            Source https://stackoverflow.com/questions/68344135

            QUESTION

            VB.NET Sharing list of string everywhere
            Asked 2020-Mar-21 at 08:38

            So here's my code of list of string

            ...

            ANSWER

            Answered 2020-Mar-21 at 08:38
            Dim list3 As New List(Of String)
            
            Private Sub gen_Click(sender As Object, e As EventArgs) Handles gen.Click
                Dim num As Decimal = 10000
                Dim i As Decimal = Decimal.One
                Do While (Decimal.Compare(i, num) <= 0)
                    list3 = New List(Of String)
            
                    If crypto.Checked Then
                        list3.AddRange(Strings.Split("BTC eBTC cryptocurrency crypto currency blockchain wallet p2p Auroracoin Blackcoin Coinye Bitcoin Dash Decred Dogecoin DigitalNote Ehtereum Gridcoin Litecoin Mastercoin MazaCoin Monero Namecoin Nxt Peercoin Primecoin Ripple Titcoin Zerocoin Satoshi Stellar Shadow Lisk virtualcurrency virtualmoney steem NEM MaidSafeCoin Coins Mining MiningCoins Ghz Nxt Synereo DigixDAO Factom Waves Emercoin Bitshares Peerplays Stellar Btyecoin Siacoin Counterparty tther gamecredits xaurum bitcrystals storjcoinX SysCoin YbCoin AgorasTokens NameCoin NautilusCoin FedoraCoin Swiscoin SARCoin BitcoinDark VPNCoin SuperNET Omni DigiByte Blackcoin GridCoin Stratis IOCoin SolarCoin RubyCoin Rimbit FeatherCoin DNotes VeriCoin VCash HiCoin MonaCoin Expanse ShadowCash Voxels MintCoin EarthCoin Jinn BreakoutState Nexus Scotcoin Clams Primecoin Quark LBRY GlobalCurrency ReddCoin HitCoin Blocknet NAVCoin Radium Novacoin Worldcoin EvergreenCoin AuroraCoin SaluS Gulden DigitalNote CureCoin Obits AsiaCoin Vertcoin Rise Quora BoostCoin Startcoint ReeCoin MMNXT MegaCoin Adzcoin Pebblecoin NuBits Ixcoin XCurrency Virtacoin GoldCoin ProjectDecorum Bitshares BilShares BitBay HempCoin Crypti LIQUID Stress", " ", -1, CompareMethod.Binary))
                    End If
            
                Loop
            
            End Sub
            
            Private Sub clear_Click(sender As Object, e As EventArgs) Handles clear.Click
                list3.Clear()
            
            End Sub
            

            Source https://stackoverflow.com/questions/60785278

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

            Vulnerabilities

            No vulnerabilities reported

            Install steem

            Getting started with Steem is fairly simple. You can either choose to use docker-images, build with docker manually or build from source directly. All steps have been documented and while many different OS are supported, the easiest one is Ubuntu 16.04.
            Just want to get up and running quickly? We have pre-built Docker images for your convenience. More details are in our Quickstart Guide.

            Support

            THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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