lcd module python code pricelist

We can get stock using the yfinance.download() function provided in the yfinance module which is a module for Yahoo’s Finance API. We can download the module using the following command.pip install yfinance

Another way of getting the historical stock data is to use the pandas_datareaderlibrary. It also uses Yahoo’s Finance API to load in the data. We can download the module using the following command.pip install pandas_datareader

Quandl has hundreds of free and paid data sources, across equities, fixed incomes, commodities, exchange rates, etc. In order to get the access, we need to create an account on Quandl and get an API Key to access the data for free. After that, we need to download the API support quandl library of python using the following command.pip install quandl

Modules needed:pandas: Pandas is an opensource library that allows you to perform data manipulation in Python. Pandas provide an easy way to create, manipulate and wrangle the data.

numpy: Numpy is the fundamental package for scientific computing with Python. numpycan be used as an efficient multi-dimensional container of generic data.

seaborn: Seaborn is a Python data-visualization library that is based on matplotlib. Seaborn provides a high-level interface for drawing attractive and informative statistical graphics.

Steps for installing these packages:If you are using anaconda- jupyter/ syder or any other third party softwares to write your python code, make sure to set the path to the “scripts folder” of that software in command prompt of your pc.

Perform various data cleaning and data visualisation operations on your data. These steps are illustrated beside each line of code in the form of comments for better understanding, as it would be better to see the code side by side than explaining it entirely here, would be meaningless.

Are you looking to retrieve stock market data using Python? You"re at the right place. In this article, you"ll learn how to get stock market data using Python. You can further use the data to analyze, visualize, and get insights from it.

Yahoo Finance is one of the widely used platforms that provides stock market data. You can easily download the dataset from their website, but if you want to access it directly from a Python program, you can use the yfinance library. To install yfinance using pip, you need to run the following command at a command prompt:

The yfinance Python library is free to use and it does not require an API key.The code used in this project is available in a GitHub repository and is free for you to use under the MIT license.

This example uses the regularMarketPrice and regularMarketPreviousClose properties to get the required data. The yfinance library provides numerous other properties that you can explore. These include zip, sector, fullTimeEmployees, longBusinessSummary, city, phone, state, and country. You can get the complete list of the available properties using this code: import yfinance as yf

You can export a DataFrame object to a CSV file using the to_csv() method. Since the above data is already in the form of a pandas DataFrame, you can export the data into a CSV file using the following code: import yfinance as yf

Pandas is the widely used data-analysis Python library. If you"re not much comfortable with this library, you should get started with basic operations using Pandas.

The yfinance Python library is one of the most convenient libraries to set up, fetch data, and perform data analysis tasks with. You can use this data to visualize results and capture insights using libraries like Matplotlib, Seaborn, or Bokeh.

Prices defined in each available currency option. Each key must be a three-letter ISO currency code and a supported currency. For example, to define your price in eur, pass the fields below in the eur key of currency_options.

The code presented in this tutorial is designed for scraping prices as simple as possible. Therefore, it will not be capable of fetching the price from every product page out there.

Inside the Console tab, you can enter any JavaScript code. The browser will execute the code in the context of the web page that has been loaded. You can learn more about DevTools using their official documentation.

Please DO NOT contact us for any help with our Tutorials and Code using this form or by calling us, instead please add a comment to the bottom of the tutorial page for help

Disclaimer: Any code provided in our tutorials is for illustration and learning purposes only. We are not responsible for how it is used and assume no liability for any detrimental usage of the source code. The mere presence of this code on our site does not imply that we encourage scraping or scrape the websites referenced in the code and accompanying tutorial. The tutorials only help illustrate the technique of programming web scrapers for popular internet websites. We are not obligated to provide any support for the code, however, if you add your questions in the comments section, we may periodically address them.

Use GetServices without a service code to retrieve the service codes for all AWS services, then GetServices with a service code to retrieve the attribute names for that service. After you have the service code and attribute names, you can use GetAttributeValues to see what values are available for an attribute. With the service code and an attribute name and value, you can use GetProducts to find specific products that you"re interested in, such as an AmazonEC2 instance, with a Provisioned IOPS volumeType .

Returns the metadata for one service or a list of the metadata for all services. Use this without a service code to get the service codes for all services. Use it with a service code, such as AmazonEC2 , to get information specific to that service, such as the attribute names available for that service. For example, some of the attribute names available for EC2 are volumeType , maxIopsVolume , operation , locationType , and instanceCapacity10xlarge .

ParametersServiceCode (string) -- The code for the service whose information you want to retrieve, such as AmazonEC2 . You can use the ServiceCode to filter the results in a GetProducts call. To retrieve a list of all services, leave this blank.

The product metadata field that you want to filter on. You can filter by just the service code to see all products for a specific service, filter by just the attribute name to see a specific attribute for multiple services, or use both a service code and an attribute name to retrieve only products that match both fields.

The service code or attribute value that you want to filter by. If you are filtering by service code this is the actual service code, such as AmazonEC2 . If you are filtering by attribute name, this is the attribute value that you want the returned products to match, such as a Provisioned IOPS volume.

"{"product":{"productFamily":"Storage","attributes":{"storageMedia":"SSD-backed","maxThroughputvolume":"320 MB/sec","volumeType":"Provisioned IOPS","maxIopsvolume":"20000","servicecode":"AmazonEC2","usagetype":"CAN1-EBS:VolumeUsage.piops","locationType":"AWS Region","location":"Canada (Central)","servicename":"Amazon Elastic Compute Cloud","maxVolumeSize":"16 TiB","operation":""},"sku":"WQGC34PB2AWS8R4U"},"serviceCode":"AmazonEC2","terms":{"OnDemand":{"WQGC34PB2AWS8R4U.JRTCKXETXF":{"priceDimensions":{"WQGC34PB2AWS8R4U.JRTCKXETXF.6YS6EN2CT7":{"unit":"GB-Mo","endRange":"Inf","description":"$0.138 per GB-month of Provisioned IOPS SSD (io1) provisioned storage - Canada (Central)","appliesTo":[],"rateCode":"WQGC34PB2AWS8R4U.JRTCKXETXF.6YS6EN2CT7","beginRange":"0","pricePerUnit":{"USD":"0.1380000000"}}},"sku":"WQGC34PB2AWS8R4U","effectiveDate":"2017-08-01T00:00:00Z","offerTermCode":"JRTCKXETXF","termAttributes":{}}}},"version":"20170901182201","publicationDate":"2017-09-01T18:22:01Z"}",

Fit a linear regression model to predict the "price" using the feature "sqft_living" then calculate the R^2. Take a screenshot of your code and the value of the R^2.

/opt/conda/envs/Python36/lib/python3.6/site-packages/sklearn/preprocessing/data.py:645: DataConversionWarning: Data with input dtype int64, float64 were all converted to float64 by StandardScaler.

/opt/conda/envs/Python36/lib/python3.6/site-packages/sklearn/base.py:467: DataConversionWarning: Data with input dtype int64, float64 were all converted to float64 by StandardScaler.

/opt/conda/envs/Python36/lib/python3.6/site-packages/sklearn/pipeline.py:511: DataConversionWarning: Data with input dtype int64, float64 were all converted to float64 by StandardScaler.

Perform a second order polynomial transform on both the training data and testing data. Create and fit a Ridge regression object using the training data, setting the regularisation parameter to 0.1. Calculate the R^2 utilising the test data provided. Take a screenshot of your code and the R^2.

For this challenge you are going to write a Python script that prompts the user to enter a price in pounds (or in your own currency) (e.g. £90) and a discount rate to apply (e.g. 20%).