Bleeping Computer: Embed Python scripts in HTML with PyScript. “The new PyScript project lets you embed Python programs directly in HTML pages and execute them within the browser without any server-based requirements. The project was announced this weekend at PyCon US 2022 and acts as a wrapper around the Pyodide project, which loads the CPython interpreter as a WebAssembly browser module.”
MakeUseOf: 9 Free Online Courses for Python Beginners . “Python is a high-level programming language. It’s popular among the programming community due to its simplicity and versatility. You’ll find its usage in high-end computing like artificial intelligence (AI), machine learning (ML), databases, scientific software, etc. Coincidentally, experts working in these fields also get paid handsomely. If you are a beginner, start by learning the basics of Python programming, and then climb up the ladder as you learn more.”
EurekAlert: New data science platform speeds up Python queries. “Researchers from Brown University and MIT have developed a new data science framework that allows users to process data with the programming language Python — without paying the ‘performance tax’ normally associated with a user-friendly language.” The new platform is free.
My Master Designer: Using Google Sheets As Database With Python. “In this article, we’ll use Google Sheets as a database with the help of Python. Use SQL or NoSQL softwares when large databases and complex operations are required. A reminder before you start reading the article Google Sheets isn’t exactly database software, but it’s a simple spreadsheet program where you can store your data.”
VentureBeat: Google extends open source vulnerabilities database to Python, Rust, Go, and DWF. “One of the major challenges of aggregating data from multiple open source databases is that they can adhere to different formats, often created by an individual organization. This distributed model makes it more difficult to unify and describe vulnerabilities in a common vernacular. So Google, in conjunction with the wider open source community, has been working on a ‘vulnerability interchange schema’ to describe vulnerabilities across open source projects in a format that can be used by both humans and automation tools.”
Search Engine Journal: 8 Useful Python Libraries for SEO & How To Use Them. “There are over 100,000 libraries available to use in Python, which can be used for functions from data analysis to creating video games. In this article, you’ll find several different libraries I have used for completing SEO projects and tasks. All of them are beginner-friendly and you’ll find plenty of documentation and resources to help you get started.”
Analytics India: Complete Tutorial On Txtai: An AI-Powered Search Engine. “Searching is the most basic functionality that is seen in almost all applications. But it can be challenging when you have a large amount of data or documents and you need faster results. This is where natural language processing can be useful to us. With the development of new models in NLP, quicker computation and more accurate results are possible. One such development is a library called txtai. This enables a smarter way to apply natural language processing on search bars. In this article, we will see the different applications of the txtai and implement them in Python.”
Real Python: How to Make an Instagram Bot With Python and InstaPy . “In this tutorial, you’ll learn how to build a bot with Python and InstaPy, a library by Tim Großmann which automates your Instagram activities so that you gain more followers and likes with minimal manual input. Along the way, you’ll learn about browser automation with Selenium and the Page Object Pattern, which together serve as the basis for InstaPy.”
Towards Data Science: How to Make Instagram Unfollower Tool with Python. “While using Instagram and their system of ‘Followers’, there must have been a time where you followed someone and wondered when and if they are going to follow you back. Well, now with powerful tools and programming languages we can create easy scripts in order to check who is not following us.”
Towards Data Science: Analyze and Track Freelance Revenue with Google Calendar and Pandas. “My life and work schedules are run by Google Calendar — this includes all of my private classes, bike/photography tours, academy work, governmental positions, translation gigs, and random freelance jobs. Every ‘unit’ of paid work is in the calendar; I simply needed to figure out a way to directly access the Google Calendar data and rebuild my spreadsheet into a sustainable analyzing machine. In my previous corporate life, I worked exclusively in the world of Pandas Notebooks (Python framework for analyzing data) — therefore it was a natural solution to leverage those tools to access my class schedule from Google Calendar and utilize Pandas to process and analyze the revenue data.”
ZDNet: Google reveals new Python programming language course: Scholarships for 2,500. “There are six courses in the Google IT Automation with Python Professional Certificate, including an introductory ‘crash course on Python’, learning how to use Python to manipulate files and processes on a computer’s operating system, a course in using Git and GitHub, troubleshooting techniques, learning how to automate and manage fleets of computers in the cloud, and automating real-world tasks with Python.” The article notes that the course is not free.
Towards Data Science: How to Scrape Tweets From Twitter. “This tutorial is meant to be a quick straightforward introduction to scraping tweets from Twitter in Python using Tweepy’s Twitter API or Dmitry Mottl’s GetOldTweets3. To provide direction for this tutorial I decided to focus on scraping through two avenues: scraping a specific user’s tweets and scraping tweets from a general text search.”
Computer Business Review: GitHub Adds 10 Million New Users, Reveals 10 Most Popular Languages. “Over the past year, developers collaborated in a staggering 370 primary languages on GitHub. Among the top 10 programming languages, C#, Python and Shell climbed the list this year, while Ruby and Java fell in popularity. That’s according to the code repository’s annual Octoverse report, which also reveals a colossal 532 percent increase in the use of Google’s Dart language, as interest surges in the company’s Flutter SDK – built using Dart.”
Medium: Analysis of Google Political Ads using BigQuery. “Hello everyone, this is my first article on Medium. I have been interested in data science and analytics while working on my Masters project. I have tried my hand with different beginner datasets to learn some of the basics of Python, SQL, and other languages. However, I felt that repeating the same exercises got boring after a while, and I started losing interest in the subject. Then I got a hold of Google Cloud Services and the BigQuery platform.”
Ars Technica: Researchers find bug in Python script may have affected hundreds of studies. “In a paper published October 8, researchers at the University of Hawaii found that a programming error in a set of Python scripts commonly used for computational analysis of chemistry data returned varying results based on which operating system they were run on—throwing doubt on the results of more than 150 published chemistry studies.”