Data Intelligence


Python Tutorial 61 – Financial Statement Scraper for Common-Sizing Comparison Using Easy2Digital APIs

Financial statements provide investors and marketers the raw data that can facilitate them to calculate, and compare the underlying value of companies. Moreover, notably revenue growth, capital expenses, and debt growth YoY do directly imply if a company is in a good shape or not, for example, market share is shrinking, or probably the cost of debt might rise, or it’s a potential one to invest because of current aggressive investment in new product development.

In this article, I’m going to work through how to build a financial statement bot using Easy2Digital API and Python. By the end of this piece, you can use the Python script and Easy2Digital API to obtain specific listed companies’ financial statement data, or leverage it to automate your dashboard update.

Python Tutorial 60 – Stock Symbol Data Scraper for Financial Ratio Analysis

Along with interest rates rising against inflation, global stock markets have been bearish and obviously continue to drop as inflation kind of hovers over in a higher position and might last for a long period before pushing it down. 

From a standpoint of the cost of buying in the stock market, this is absolutely a good chance to observe the momentum and estimate the time bottoming out. It’s because this timing is easier for us to analyze and identify undervalued companies compared to the previous QE era, notably now companies are confronting the increasing cost of debt and economic recession challenges. Who can stay still, who is the ACE? 

If you are an investor in mutual funds, ETFs, trusts, Stock, and so on. This article can help you build a stock symbol data scraper for analyzing financial ratios in bulk using Python, FMP, and Easy2Digital API.

Python Tutorial 59 – Using Python and Gmail SMTP to Automate Sending Personalised Emails

From a marketing perspective, organic traffic is not just limited to SEO. Conversely, it covers a wide range of traffic sources as long as the majority percentage of investment is focused on manpower. They can be social media, partnership, VoD, email and so on. Compared to these channels in terms of organic traffic, email marketing is still the most efficient approach in one-to-one conversation marketing with a higher new customer conversion rate and lower cost per retention notably in the eCommerce and B2B sectors.

Basically we have two options out there if leveraging the magic of email marketing – Paid and Free platform. If a long term investment return is your preference rather than you being restricted by the platform recurring payment fees, this article can fit your stomach.

This piece expands on how to save 90% of your manual email marketing campaign time by using Gmail and Python script. By the end of this article, you and your team can write a Python script to build an email blast system using Gmail.

Python tutorial 57 – Build the User Account Login and Authentication System Using Flask, SQLAlchemy

User-based and customer-oriented are super popular in nowadays’ business model. Apart from web 2.0, web 3.0 more emphasizes decentralisation and gives back more data authority and data management to current users. So an user-centralization approach trend is arising and it just would be more important. So regarding buidling an application using Flask, user login and authentication system is a basic function it must have. Today is on how to leverage Flask login manager and build one in your application.

Python Tutorial 56 – Utilise Flask Limiter to Customise Rate Limits By the Characteristic of Incoming Requests

The fundamental approach of SaaS or BaaS or API monetization is to provide customers with different service and plan options by customizing the rate limits. So users can select and buy the plan quota they think it’s sufficient and pay for a reasonable price. Flask limiter has existing modules and parameters for your application to adopt. It’s easy and lightweight to upgrade your SaaS with this extension.

Python Tutorial 52 – Utilise Google Cloud Platform to Implement Python Script Automation with Cloud Function and Cloud Scheduler

This python tutorial is relevant to coach how to automate your Python applications with the Google cloud platform. Compared to local device crontab and cron jobs, Cloud platforms like Google can allow your application 24 hours and 7 days stand-by and run by triggering preset events. You need to either keep the laptop running 24 hours or sit beside the device to monitor. I will take the trending topic bot for example and walk you through all components and script codings.

Python Tutorial 47: Product Price Trackers of Google Shopping, Walmart, HomeDepot Product Using SERP API

In this Python Tutorial, I would talk about how to create price trackers for three popular retail marketplaces or channels from an eCommerce seller perspective. In this tutorial, we would use some modules listed as below and by the end of it, you can use a tracker built by yourself. Refreshing a dashboard every morning can become part of your lifestyle that relieves your busy work.

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