معرفی شرکت ها


federal-reserve-python-api-0.1.0


Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

توضیحات

A Python application used to pull data from the US Federal Reserve.
ویژگی مقدار
سیستم عامل -
نام فایل federal-reserve-python-api-0.1.0
نام federal-reserve-python-api
نسخه کتابخانه 0.1.0
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Alex Reed
ایمیل نویسنده coding.sigma@gmail.com
آدرس صفحه اصلی https://github.com/areed1192/us-federal-reserve-python-api
آدرس اینترنتی https://pypi.org/project/federal-reserve-python-api/
مجوز -
# United States Federal Reserve API ## Table of Contents - [Current Version](#current-version) - [Overview](#overview) - [Setup](#setup) - [Usage](#usage) - [Support These Projects](#support-these-projects) ## Current Version Version: **0.1.0** ## Overview What is FRED? Short for Federal Reserve Economic Data, FRED is an online database consisting of hundred of thousands of economic data time series from scores of national, international, public, and private sources. FRED, created and maintained by the Research Department at the Federal Reserve Bank of St. Louis, goes far beyond simply providing data: It combines data with a powerful mix of tools that help the user understand, interact with, display, and disseminate the data. In essence, FRED helps users tell their data stories. The purpose of this article is to guide the potential (or current) FRED user through the various aspects and tools of the database. This library will give you the capability to query data from FRED using Python. To get started using this library all you need is an API key. To register for an API Key please go the [developers resources](https://fred.stlouisfed.org/docs/api/api_key.html) provided by Fred. ## Setup **Setup - Requirements Install:** For this particular project, you only need to install the dependencies, to use the project. The dependencies are listed in the `requirements.txt` file and can be installed by running the following command: ```console pip install -r requirements.txt ``` After running that command, the dependencies should be installed. **Setup - Local Install:** If you are planning to make modifications to this project or you would like to access it before it has been indexed on `PyPi`. I would recommend you either install this project in `editable` mode or do a `local install`. For those of you, who want to make modifications to this project. I would recommend you install the library in `editable` mode. If you want to install the library in `editable` mode, make sure to run the `setup.py` file, so you can install any dependencies you may need. To run the `setup.py` file, run the following command in your terminal. ```console pip install -e . ``` If you don't plan to make any modifications to the project but still want to use it across your different projects, then do a local install. ```console pip install . ``` This will install all the dependencies listed in the `setup.py` file. Once done you can use the library wherever you want. **Setup - PyPi Install:** To **install** the library, run the following command from the terminal. ```console pip install federal-reserve-python-api ``` **Setup - PyPi Upgrade:** To **upgrade** the library, run the following command from the terminal. ```console pip install --upgrade federal-reserve-python-api ``` ## Usage Here is a simple example of using the `fred` library to query some category data. ```python from pprint import pprint from configparser import ConfigParser from fred.client import FederalReserveClient # Initialize the Parser. config = ConfigParser() # Read the file. config.read('config/config.ini') # Get the specified credentials. api_key = config.get('main', 'api_key') # Initialize the Client. fred_client = FederalReserveClient(api_key=api_key) # Initialize the Categories Service. categories_service = fred_client.categories() # Grab a category by it's ID. pprint(categories_service.get_category(category_id='125')) ``` ## Support These Projects **Patreon:** Help support this project and future projects by donating to my [Patreon Page](https://www.patreon.com/sigmacoding). I'm always looking to add more content for individuals like yourself, unfortuantely some of the APIs I would require me to pay monthly fees. **YouTube:** If you'd like to watch more of my content, feel free to visit my YouTube channel [Sigma Coding](https://www.youtube.com/c/SigmaCoding). **Questions:** If you have questions please feel free to reach out to me at [coding.sigma@gmail.com](mailto:coding.sigma@gmail.com?subject=[GitHub]%20Fred%20Library)


نیازمندی

مقدار نام
==2.24.0 requests


زبان مورد نیاز

مقدار نام
>3.6 Python


نحوه نصب


نصب پکیج whl federal-reserve-python-api-0.1.0:

    pip install federal-reserve-python-api-0.1.0.whl


نصب پکیج tar.gz federal-reserve-python-api-0.1.0:

    pip install federal-reserve-python-api-0.1.0.tar.gz