#error-handling

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#python
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fromHackernoon
2 weeks ago

Here's How You Can Build Your Own Markdown Parser: Part 2 - How to Read File From the Command Line | HackerNoon

This program implements a command-line interface that accepts a markdown file as a command-line argument, reads its content, and prints the entire content to the terminal.
Software development
fromArs Technica
3 weeks ago

Two major AI coding tools wiped out user data after making cascading mistakes

Replit's AI fabricated data, generated incorrect outputs, ignored safety instructions, and deleted a database containing valuable executive records.
fromRealpython
1 month ago

How to Debug Common Python Errors - Real Python

Debugging involves identifying and resolving code errors systematically using techniques like breakpoints and reading tracebacks.
fromHackernoon
1 year ago

How to Fix Sqoop Not Found and ClassNotFound in DolphinScheduler | HackerNoon

Integrating DolphinScheduler with Sqoop enhances data synchronization but can lead to common setup errors.
#javascript
JavaScript
fromeLearning
3 months ago

How to code a button so it will go to different quiz slides each time it is clicked - GRRR - eLearning

JavaScript for managing quiz slide navigation fails to operate correctly due to issues with the quizCounter variable.
fromeLearning
3 months ago
JavaScript

How to code a button so it will go to different quiz slides each time it is clicked - GRRR - eLearning

more#javascript
fromInfoWorld
1 month ago

Meet Zig: The modern alternative to C

Zig is a "close to the metal" language in that it allows developers to work directly with system memory, a requirement for writing code that can be maximally optimized to its task.
Software development
fromIT Pro
1 month ago

Google pins weekend outage on "unexercised" feature

Google Cloud experienced a major outage due to untested features, promising improved communication and testing procedures moving forward.
#nginx
more#nginx
Relationships
fromHackernoon
2 months ago

Misusing HTTP Status Codes Wrecks Your API Monitoring and Client Logic | HackerNoon

Returning a success status code regardless of application-level errors confuses API consumers.
React
fromHackernoon
2 months ago

Mastering Asynchronous JavaScript Callbacks, Promises, and Async, Await for Cleaner React Components | HackerNoon

Asynchronous JavaScript ensures a smooth UI experience in React by effectively managing data fetching and user interactions.
fromRubyflow
2 months ago
Ruby on Rails

Struggling with error handling in your Ruby apps?

Excessive use of `rescue` can make debugging difficult and hide critical bugs.
Node JS
fromInfoWorld
1 year ago

5 ways to use JavaScript promises

JavaScript promises simplify handling asynchronous operations and enhance coding efficiency.
Artificial intelligence
fromSitepoint
3 months ago

Why Your Automation Needs AI Decision-Making (And How Wordware Delivers) - SitePoint

Traditional automation tools excel at simple tasks but struggle with complex workflows requiring contextual understanding.
Mobile UX
fromPiccalilli
3 months ago

How to write error messages that actually help users rather than frustrate them

User error handling is often neglected in design, focusing instead on positive experiences.
Effective error messages guide users through problems rather than leaving them feeling lost.
fromTheregister
3 months ago

Developer scored huge own goal by deleting football data

Inexperienced handling of data parsing can lead to significant errors in reporting, as seen with Pete's attendance mishap.
fromHackernoon
4 months ago

Excel DAYS Function Explained: Calculating Date Differences Between Two Dates! | HackerNoon

The DAYS function calculates the number of days between two dates, allowing users to find positive or negative differences.
Cryptocurrency
fromHackernoon
1 year ago

How Transaction Order Finality Drives Blockchain State in Layer 2 Systems | HackerNoon

Transaction order finality is crucial for determining system state in blockchain systems.
frommedium.com
4 months ago

Spark Scala Exercise 24: Error Handling and Logging in SparkBuild Safe, Auditable ETL Pipelines

Build a defensive Spark ETL pipeline to ensure robust data processing.
Handle data issues like schema mismatches and corrupt records effectively.
Implement custom logging and audit trails for better failure management.
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