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blog.datagene.io | Musing on my adventures and lessons in building data products

Musing on my adventures and lessons in building data products

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blog.datagene.io | Musing on my adventures and lessons in building data products | blog.datagene.io Reviews

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Musing on my adventures and lessons in building data products

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simply-python.com simply-python.com

Scraping housing prices using Python Scrapy Part 2 | Simply Python

https://simply-python.com/2016/12/12/scraping-housing-prices-using-python-scrapy-part-2

Programming, Python, Automation. Scraping housing prices using Python Scrapy Part 2. This is the continuation of the previous post on “ Scraping housing prices using Python Scrapy. 8220; In this session, we will use Xpath to retrieve the corresponding fields from the targeted website instead of just having the full html page. For a preview on how to extract the information from a particular web page, you can refer to the following post “ Retrieving stock news and Ex-date from SGX using python. Once verif...

simply-python.com simply-python.com

Manage and extract data using python and Excel tables | Simply Python

https://simply-python.com/2014/08/20/manage-and-extract-data-using-python-and-excel-tables

Programming, Python, Automation. Manage and extract data using python and Excel tables. The script below will utilize the Excel tables to extract various information such as setting files, parameters values and at the same time maintain a neat way of viewing and changing all the parameters. The script will required pyExcel. Which is interface module between python and excel. The concept is to retrieve all the tables and rows specified within the start and closing tag. Is available in GitHub. Wonder where...

simply-python.com simply-python.com

Automating Google Sheets with Python | Simply Python

https://simply-python.com/2016/12/06/linking-google-sheets-with-python

Programming, Python, Automation. Automating Google Sheets with Python. This post demonstrate basic use of python to read/edit Google sheets. For fast setup, you can visit this link. Below is the setup procedure copied from the link itself. To create or select a project in the Google Developers Console and automatically turn on the API. Click Continue, then Go to credentials. On the Add credentials to your project page, click the Cancel button. Click OK to dismiss the resulting dialog. You can easily acce...

simply-python.com simply-python.com

Retrieving stock news and Ex-date from SGX using python | Simply Python

https://simply-python.com/2015/04/15/retrieving-stock-news-and-ex-date-from-sgx-using-python

Programming, Python, Automation. Retrieving stock news and Ex-date from SGX using python. For Singapore stocks, one of the way to retrieve the latest company news and announcements (such as trading halt, general announcements, dividend info) are through the Singapore Exchange (SGX) main webpage. Besides company announcements, the following are the list of data that can be retrieved:. Latest price (also some of parameters based on SGX stock filters). To retrieve the stocks announcements or news. The page ...

simply-python.com simply-python.com

web scraping | Simply Python

https://simply-python.com/category/web-scraping

Programming, Python, Automation. Create Train breakdown notifications. Imagine walking 10 mins to the train station, finds the train has broken down and the bus stop is 20 mins walk away in opposite direction from the station. This is extremely frustrating especially if you are living in a country with relatively frequent train delay and breakdown. The solution: create a simple alert system to your phone using Python, Pattern. The below script will scrape the MRT website. February 6, 2017. This is the co...

simply-python.com simply-python.com

Scraping housing prices using Python Scrapy | Simply Python

https://simply-python.com/2016/11/25/scraping-housing-prices-using-python-scrapy

Programming, Python, Automation. Scraping housing prices using Python Scrapy. This post (and subsequent posts) show how to scrape the latest housing prices from the web using python Scrapy. As an example, the following website, propertyguru.com. For a guide of running Scrapy, you can refer to the Scrapy tutorial. The following guidelines can be used for building a simple project. Scrapy startproject name of project. Define items in items.py (temporary set a few fields). Market=residential&property type c...

simply-python.com simply-python.com

automation | Simply Python

https://simply-python.com/tag/automation

Programming, Python, Automation. Automating Google Sheets with Python. This post demonstrate basic use of python to read/edit Google sheets. For fast setup, you can visit this link. Below is the setup procedure copied from the link itself. To create or select a project in the Google Developers Console and automatically turn on the API. Click Continue, then Go to credentials. On the Add credentials to your project page, click the Cancel button. Click OK to dismiss the resulting dialog. You can easily acce...

simply-python.com simply-python.com

SGproperties | Simply Python

https://simply-python.com/tag/sgproperties

Programming, Python, Automation. Scraping housing prices using Python Scrapy Part 2. This is the continuation of the previous post on “ Scraping housing prices using Python Scrapy. 8220; In this session, we will use Xpath to retrieve the corresponding fields from the targeted website instead of just having the full html page. For a preview on how to extract the information from a particular web page, you can refer to the following post “ Retrieving stock news and Ex-date from SGX using python. Once verif...

simply-python.com simply-python.com

HDB resale prices | Simply Python

https://simply-python.com/tag/hdb-resale-prices

Programming, Python, Automation. Scraping housing prices using Python Scrapy Part 2. This is the continuation of the previous post on “ Scraping housing prices using Python Scrapy. 8220; In this session, we will use Xpath to retrieve the corresponding fields from the targeted website instead of just having the full html page. For a preview on how to extract the information from a particular web page, you can refer to the following post “ Retrieving stock news and Ex-date from SGX using python. Once verif...

simply-python.com simply-python.com

Rapid generation of powerpoint report with template scanning | Simply Python

https://simply-python.com/2014/07/04/rapid-generation-of-powerpoint-report-with-template-scanning

Programming, Python, Automation. Rapid generation of powerpoint report with template scanning. In my work, I need to create PowerPoint (ppt) report of similar template. For the report, I need to create various plots in Excel or JMP, save it to folders and finally paste them to ppt. It be great if it is possible to generate ppt report rapidly by using automation. I have created a python interface to powerpoint. Using com commands hoping it will help to generate the report automatically. The script will th...

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blog.datagene.io | Musing on my adventures and lessons in building data products

Musing on my adventures and lessons in building data products. One way to help a data science team innovate successfully. February 19, 2017. The Lazada Data Science team has paper lunches together every Friday. Usually, we discuss about new papers we read, new ideas and implementations we tried, etc. This past Friday, we invited some special guests from Aviva to discuss about our journeys in cultivating a data-driven culture and building data science into the organization. Continue reading →. Click to sh...

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What's New in RDF.rb 0.3.0. Spira: A Linked Data ORM for Ruby. How RDF Databases Differ from Other NoSQL Solutions. Parsing and Serializing RDF Data with Ruby. How to Build an SQL Storage Adapter for RDF Data with Ruby. RDF for Intrepid Unix Hackers: Transmuting N-Triples. The Curious Case of RDF Graph Isomorphism. RDFrb: A Public-Domain RDF Library for Ruby. RDF for Intrepid Unix Hackers: Grepping N-Triples. Hacking on RDF in Ruby. Using jQuery with Rails 3.0 Beta.

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北亚数据恢复中心: 专业的数据恢复技术与信息交流平台

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Datahug Blog - Official Blog

How to Find and Use Sales Data. The advent of big data has placed pressure on every department in every company to find ways to objectively measure and improve their performance. For sales teams, this means quantifying a notoriously hard-to-measure process. In my last blog post, I explained why sales operations managers must take charge of this initiative. The steps below explain how they can pull it off successfully:. Sales Ops Must Lead the Charge Toward Data-Driven Sales. The true sales cycle length.