#data-manipulation

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Best Practices for Handling Large JSON Data in JavaScript

Utilizing Web Workers for off-thread processing improves UI responsiveness while handling large JSON datasets.
Streaming JSON parsing reduces memory usage and enhances performance by allowing incremental data processing.
#text-processing

Regex 101: Practical Tips for Mastering Regular Expressions | HackerNoon

Regex enables efficient data handling by allowing users to extract and manipulate text patterns with precision.

Bash remove token from text file or array (conditionally)

Use bash along with 'awk' or 'sed' to efficiently remove non-integer second tokens from each line in a large text file.

Regex 101: Practical Tips for Mastering Regular Expressions | HackerNoon

Regex enables efficient data handling by allowing users to extract and manipulate text patterns with precision.

Bash remove token from text file or array (conditionally)

Use bash along with 'awk' or 'sed' to efficiently remove non-integer second tokens from each line in a large text file.
moretext-processing

An Indian state used citizens' data on political beliefs to deny benefits

The Andhra Pradesh government exploited citizen data to deny welfare to opposition supporters, undermining democratic processes and targeting vulnerable communities.
#efficiency

Dataframes explained: The modern in-memory data science format

Dataframes provide efficient and powerful data manipulation in data science, surpassing traditional methods like SQL and Excel.

Essential Linux Terminal Hacks for Efficiency-Part 2

To reuse commands, utilize reverse search and history command. Display date/time in history for reference. Run multiple cmds concurrently with specific chaining options. View large file content easily with 'less' command.

Dataframes explained: The modern in-memory data science format

Dataframes provide efficient and powerful data manipulation in data science, surpassing traditional methods like SQL and Excel.

Essential Linux Terminal Hacks for Efficiency-Part 2

To reuse commands, utilize reverse search and history command. Display date/time in history for reference. Run multiple cmds concurrently with specific chaining options. View large file content easily with 'less' command.
moreefficiency

ZIO 2: ZIO JDBC examples (SQL select, insert, drop, update, delete, transactions)

ZIO JDBC library has a new maintainer, ensuring continued access to its features and examples.
#sql

SQL vs Python: Unveiling the Best Language for Your Needs

SQL excels in raw data extraction speed and query performance due to its tight integration with databases.

TABLE JOIN cheat sheet

The cheat sheet is a comprehensive resource for merging datasets in SQL, Spark, and Python pandas, including cross joins.

SQL vs Python: Unveiling the Best Language for Your Needs

SQL excels in raw data extraction speed and query performance due to its tight integration with databases.

TABLE JOIN cheat sheet

The cheat sheet is a comprehensive resource for merging datasets in SQL, Spark, and Python pandas, including cross joins.
moresql

China's technology drive leaves young people jobless DW 09/17/2024

China's youth unemployment rate manipulation obscures the worsening employment crisis amid economic setbacks and structural challenges.

Microsoft's AI Can Be Turned Into an Automated Phishing Machine

AI systems are vulnerable to attacks through email hijacking and poisoned databases, potentially leading to manipulative actions by hackers.
Security researchers stress the risks of allowing external data into AI systems, emphasizing the importance of prevention and monitoring.
Microsoft recognizes and collaborates on identifying AI vulnerabilities, highlighting the need for security measures to prevent post-compromise abuse.
#python

20 Practical Pandas Tips and Tricks for Python

Importing and reading data in Pandas is made easy with the pd.read_csv() function.
The head() and tail() functions in Pandas can be used to quickly get a snapshot of the data structure.

Python Assignment Operator: A Comprehensive Guide 2024!

Assignment operators assign values to variables in Python, aiding in data manipulation and control over variables.

Mastering Bitwise Operators in Python | Essential Techniques

In Python, bitwise operators are used for efficient coding by manipulating individual bits of numbers.
To optimize code and manipulate bits within numbers, shift operators should be well understood.
Custom classes can specify how they behave with these operators using operator overloading for bitwise operations.
Custom classes can also extend the behavior of these operators to other types of data beyond just integers.

Pandas Get Average Of Column Or Mean in Python

Pandas is a powerful library in Python for data manipulation and analysis.
To get the average of a column in Pandas, you can use the mean() function.

How to Read Excel Files Using Pandas in Python

Pandas is a popular Python library for data manipulation and analysis.
Pandas provides excellent support for reading Excel files.

Flattening a List of Lists in Python - Real Python

Flattening nested lists in Python is a common operation when working with multidimensional data.

20 Practical Pandas Tips and Tricks for Python

Importing and reading data in Pandas is made easy with the pd.read_csv() function.
The head() and tail() functions in Pandas can be used to quickly get a snapshot of the data structure.

Python Assignment Operator: A Comprehensive Guide 2024!

Assignment operators assign values to variables in Python, aiding in data manipulation and control over variables.

Mastering Bitwise Operators in Python | Essential Techniques

In Python, bitwise operators are used for efficient coding by manipulating individual bits of numbers.
To optimize code and manipulate bits within numbers, shift operators should be well understood.
Custom classes can specify how they behave with these operators using operator overloading for bitwise operations.
Custom classes can also extend the behavior of these operators to other types of data beyond just integers.

Pandas Get Average Of Column Or Mean in Python

Pandas is a powerful library in Python for data manipulation and analysis.
To get the average of a column in Pandas, you can use the mean() function.

How to Read Excel Files Using Pandas in Python

Pandas is a popular Python library for data manipulation and analysis.
Pandas provides excellent support for reading Excel files.

Flattening a List of Lists in Python - Real Python

Flattening nested lists in Python is a common operation when working with multidimensional data.
morepython

What apps do with your health data when you're not looking

Be cautious about trusting pregnancy apps with health data.

Liar': Tucker Carlson Blasts House Republican Dan Crenshaw For Comments on TikTok Vote

Tucker Carlson criticizes Rep. Dan Crenshaw for helping give power to Joe Biden to shut down challenging news sites.
Crenshaw dismisses concerns about American intelligence agencies manipulating data like China, focusing on Hunter Biden's laptop.

How to use variable in a query in pandas

You can reference variables in a query in pandas using the @ symbol
You can pass column names and handle spaces in column names in queries

Data in apps used for aircraft safety remotely tampered with

Criminals could remotely manipulate the data in apps used by airplane pilots, potentially impacting the safety of takeoffs and landings.
The vulnerability was found in the Flysmart+ Manager app used by Airbus pilots, which had disabled app transport security (ATS), making it susceptible to interception and decryption of sensitive information.

Top Cancer Center Seeks to Retract or Correct Dozens of Studies

Dana-Farber Cancer Institute to retract six research papers and correct dozens of others after data manipulation allegations.
The studies flagged by a British scientist included papers published by Dana-Farber's CEO and COO.

New York City Hid Realities of Homelessness Crisis, Report Finds

New York City officials sought to hide the worsening homelessness crisis in the city.
The investigation found that officials manipulated public data about the number of families eligible for shelter to make the problem appear less severe.

Building a Web Version of Your Mastodon Archive with Eleventy

Making use of Mastodon archive with Eleventy to create a personal website is a practical application for non-technical users.

Master Data Analytics with R: Transform Your Career Today!

Data analytics with R is instrumental in transforming raw data into actionable intelligence.

NYPD officer database had security flaws that could have let hackers covertly modify officer data

A database tracking NYPD officer profiles had security flaws allowing data modification. Remedy steps were taken post-discovery.

What Data Scientists Should Know About OpenUSD

OpenUSD is a versatile framework that offers a unified data model for efficient data manipulation and hierarchical organization.
USD File format plugins allow seamless integration of existing dataset formats into OpenUSD, enhancing data sharing and processing capabilities.
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