analytics-services | Analytics services use python libraries such as Pandas

 by   pranav-patil Python Version: Current License: No License

kandi X-RAY | analytics-services Summary

kandi X-RAY | analytics-services Summary

analytics-services is a Python library. analytics-services has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Analytics services provides analytical REST services and plotted Graphs for provided dataset. It uses powerful Python libraries such as Pandas and scikit-learn to analyze the data. The services are developed using the Django Rest Framework is widely used Rest API platform in Python. It also provides in-built authentication, serialization, ORM and web browsable API view. The project demonstrates data analysis and machine learning capabilities.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              analytics-services has a low active ecosystem.
              It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              analytics-services has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of analytics-services is current.

            kandi-Quality Quality

              analytics-services has no bugs reported.

            kandi-Security Security

              analytics-services has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              analytics-services 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

              analytics-services releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of analytics-services
            Get all kandi verified functions for this library.

            analytics-services Key Features

            No Key Features are available at this moment for analytics-services.

            analytics-services Examples and Code Snippets

            No Code Snippets are available at this moment for analytics-services.

            Community Discussions

            No Community Discussions are available at this moment for analytics-services.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install analytics-services

            Download latest Windows PostgreSQL Installer and follow windows installation steps. Alternatively, can download Windows PostgreSQL Binary Archive and extract the zip file. POSTGRE_SQL_HOME is the path to the unzipped PostgreSQL pgsql directory. Create data directory in POSTGRE_SQL_HOME/pgsql and initialize the postgres database using pg_ctl init command from pg_ctl utility. Start the Posgres server in background with the initialized data directory. PostGreSQL runs by default on port 5432. Create default postgres as superuser and set the password as secret. Alternatively, the password of postgres user can be changed as below after logging into psql. Register Posgres server with data directory path as a windows service. Create a new user named appuser and new database named appdb using below psql commands. Create a new database appdb and grant all privileges for the database to user appuser. user named appuser and new database named appdb using below psql commands. Alternatively, database can be created using the createdb utility as below. Then login into psql with appuser and appdb database. To remove the user appuser and database appuser, login into psql using postgres superuser and execute below drop commands.
            Download latest Windows PostgreSQL Installer and follow windows installation steps.
            Alternatively, can download Windows PostgreSQL Binary Archive and extract the zip file. POSTGRE_SQL_HOME is the path to the unzipped PostgreSQL pgsql directory.
            Create data directory in POSTGRE_SQL_HOME/pgsql and initialize the postgres database using pg_ctl init command from pg_ctl utility. $ pg_ctl -D "POSTGRE_SQL_HOME/pgsql/data" init
            Start the Posgres server in background with the initialized data directory. PostGreSQL runs by default on port 5432. $ pg_ctl -D "POSTGRE_SQL_HOME/pgsql/data" -l logfile start
            Create default postgres as superuser and set the password as secret. $ createuser --password --superuser postgres
            Alternatively, the password of postgres user can be changed as below after logging into psql. $ psql -U postgres postgres=# \password postgres=# ALTER USER postgres WITH PASSWORD 'new_password';
            Register Posgres server with data directory path as a windows service. $ pg_ctl register -N postgres -D "POSTGRE_SQL_HOME/pgsql/data"
            Create a new user named appuser and new database named appdb using below psql commands. $ psql -U postgres postgres=# CREATE USER appuser WITH PASSWORD 'secret123';
            Create a new database appdb and grant all privileges for the database to user appuser. user named appuser and new database named appdb using below psql commands. postgres=# CREATE DATABASE appdb; postgres=# GRANT ALL PRIVILEGES ON DATABASE appdb TO appuser; postgres=# \c appdb;
            Alternatively, database can be created using the createdb utility as below. Then login into psql with appuser and appdb database. $ createdb --owner appuser appdb $ psql -h localhost -U appuser -d appdb postgres=# \q
            To remove the user appuser and database appuser, login into psql using postgres superuser and execute below drop commands. $ psql -U postgres postgres=# DROP DATABASE appdb; postgres=# DROP USER appuser;
            While running pg_ctl.exe register command, please ensure that the windows command prompt is running as administrator, to avoid pg_ctl: could not open service manager error.
            If the data directory is not initialized pg_ctl returns the error pg_ctl: directory "C:/Installs/pgsql/data" is not a database cluster directory.
            The postgres user is not created by default and hence should be created using createuser utility to avoid the FATAL: role "postgres" does not exist error.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/pranav-patil/analytics-services.git

          • CLI

            gh repo clone pranav-patil/analytics-services

          • sshUrl

            git@github.com:pranav-patil/analytics-services.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link