Year: 2022

linkedin profile scraper

Python Tutorial 67 – Linkedin User Profile Scraper Using Easy2Digital API, Company Name, Job Title

You have a list of company names and key contact point names, and you want to find their Linkedin profiles before outreach. The question is how to make it done automatically and save the cost as much as possible.

This is the purpose of the article here. I would walk through how to use Easy2Digital API of Linkedin profile scraper and very simple Python lines to scrape the Linkedin profile links.

web3 nft

Web3 NFTs – Build and List NFTs Using Python, Openzeppelin, Pinata

Token economy is a hot vocabulary in the business world. Two main types of tokens, which is fungible and non-fungible tokens. NFTs (non-fungible token) is a unique digital identifier that cannot be copied, substituted, or subdivided, that is recorded in a blockchain. It provides a public certificate of authenticity or proof of ownership. 

Assets, notably intangible assets can be evaluated continuously and publicly in an absolutely transparent and disruptive way, compared to traditional intangible asset valuation, although NFT ownership itself has no inherent legal meaning.

In this article, I would go through how to build your Web3 NFT collections using Python, Openzeppelin, and Pinata, which can be listed on Opensea markets.

web3 fungible token

Web3 Fungible Token – Build an ERC20 Token Using Python, Brownie, and Solidity

Tokens are not new things we’ve already been using their similar forms daily, for example, fiat currency, ID cards, casino chips, stock certificates, and so on and so forth. In Web 3.0, tokens are basically divided into fungible tokens and non-fungible toke (NFTs), which are the atomic unit of Web3. And ERC20, or Ethereum Request for Comment 20, is the implemented standard for fungible tokens created using the Ethereum blockchain.

In this article, I would go through how to build your owned Web3 fungible token (ERC20) using Python, brownie, solidity, and Openzepplin. By the end of this article, you can learn a basic flow to build it and start tokenizing your things.

valuation multiples

Valuation Multiples – P/E, P/B, EV/EBITDA Ratio Hints for Marketers

Valuation multiples are financial measurement tools that evaluate one financial metric as a ratio of another, in order to make different companies more comparable. As a marketer, not only is it necessary to understand your company, but also learning from peers or competitors with better valuation is a way to refer and grab inspirational ideas. This article briefly goes through 3 main valuation multiples which investors pay more attention to, and marketers should be aware of the value.

profitability ratio

Profitability Ratio – Gross Margin, EBITDA Margin, Net Margin Hints for Marketers and Investors

Profitability ratios measure a company’s profitability stemming from financial statements. One of the main sources must be the income statement. It’s because of all the company’s main forms of income and expense. 

There are countless ways to slice and dice income statements. Nevertheless, there are three main margin ratios that come up most frequently in the analysis from both investors and marketers. These ratios are the gross margin, EBITDA margin, and net margin.

mongodb altas

Python Tutorial 66 – Flask Application Database Using MongoDB Atlas and Python to Better Big Data Management

The non-SQL database is more advanced and capable of handling big data with dynamic schema features. In the era of Big Data, the non-SQL server seems to have a bright future, although in some cases, end-to-end business data solutions are still suitable to utilize SQL databases.

In this article, I will go through how to leverage MongoDB Altas integrating with Flask Applications using Python. It’s right for you to apply this approach to application development.

pandas pivot table

Pandas Pivot Table() – Transpose Data in Column Sequence to Horizontal One in Bulk Using Pandas & Python

Pandas pivot_table() is super powerful for developers to manipulate the data, such as data visualization, data inventory, API development, etc. In terms of dashboard development or data visualization, transposing specific data objectives from column order to row sequence is very common. So in this article, I’ll go through how to transpose specific data in bulk in a second using Pandas pivot_table() and Python

pandas groupby

Pandas Groupby() – Combine all Values Into One Set Shared with the Same Index Key Using Python

In this piece, I will share introduce Pandas GroupBy(), and go through how to combine the value into one set with a shared key, or column value. For example, if your Google advertising campaign name is shared with different data sets such as data from daily, weekly or monthly, and so on and so forth, here is a way to consolidate them into one set for easy fetching, using, and applying them in web application interactions.