Data Wrangling with Python Tips and Tools to Make Your Life Easier by Jacqueline Kazil, Katharine Jarmul.pdf
Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently. You’ll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain. + Quickly learn basic Python syntax, data types, and language concepts + Work with both machine-readable and human-consumable data + Scrape websites and APIs to find a bounty of useful information + Clean and format data to eliminate duplicates and errors in your datasets + Learn when to standardize data and when to test and script data cleanup + Explore and analyze your datasets with new Python libraries and techniques + Use Python solutions to automate your entire data-wrangling process
Data Wrangling with Python Tips and Tools to Make Your Life Easier by Jacqueline Kazil, Katharine Jarmul.pdf
Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently. You’ll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain. + Quickly learn basic Python syntax, data types, and language concepts + Work with both machine-readable and human-consumable data + Scrape websites and APIs to find a bounty of useful information + Clean and format data to eliminate duplicates and errors in your datasets + Learn when to standardize data and when to test and script data cleanup + Explore and analyze your datasets with new Python libraries and techniques + Use Python solutions to automate your entire data-wrangling process
BY Python 🐍 Work With Data
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Telegram and Signal Havens for Right-Wing Extremists
Since the violent storming of Capitol Hill and subsequent ban of former U.S. President Donald Trump from Facebook and Twitter, the removal of Parler from Amazon’s servers, and the de-platforming of incendiary right-wing content, messaging services Telegram and Signal have seen a deluge of new users. In January alone, Telegram reported 90 million new accounts. Its founder, Pavel Durov, described this as “the largest digital migration in human history.” Signal reportedly doubled its user base to 40 million people and became the most downloaded app in 70 countries. The two services rely on encryption to protect the privacy of user communication, which has made them popular with protesters seeking to conceal their identities against repressive governments in places like Belarus, Hong Kong, and Iran. But the same encryption technology has also made them a favored communication tool for criminals and terrorist groups, including al Qaeda and the Islamic State.
Why Telegram?
Telegram has no known backdoors and, even though it is come in for criticism for using proprietary encryption methods instead of open-source ones, those have yet to be compromised. While no messaging app can guarantee a 100% impermeable defense against determined attackers, Telegram is vulnerabilities are few and either theoretical or based on spoof files fooling users into actively enabling an attack.
