SShortSingh.
Back to feed

How I Earn Free Google Play Codes Every Day With a Simple Daily Spin

0
·1 views

Most reward apps make you jump through hoops for a few paise. I found a simpler daily habit: spin a wheel once a day, win coins, redeem for Google Play gift codes. Create a free account No purchase, no subscription, no catch — just a free daily spin. Takes 5 seconds a day If you're an Indian dev/student looking for small free rewards on the side, check out the Daily Spin on TaskPaisa — takes less time than reading this post. Anyone else using similar micro-reward platforms?

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

How ResNet's Skip Connections Made 152-Layer Deep Networks Trainable in 2015

Before 2015, adding more layers to neural networks often made them perform worse, with a 56-layer network showing higher training error than a 20-layer one due to vanishing gradients. Researchers introduced ResNet, which solved this by having each block learn only the residual difference F(x) rather than the full mapping, then adding the original input back via a shortcut connection. This identity path acts as a gradient highway, allowing error signals to flow back to early layers without fading. The 2015 ResNet paper used this technique to successfully train 152-layer networks, winning the ImageNet competition that year. Skip connections have since become a foundational building block across modern architectures, including U-Nets and Transformer-based large language models.

0
ProgrammingDEV Community ·

Developer Dives Into Python's C Extensions to Stress-Test XML Parsing at Low Level

A developer recently pushed past Python's high-level abstractions to work directly with the iterparser C-extension and the underlying libexpat state machine. The goal was to mathematically verify that the engine could handle severely malformed XML byte streams without failure. The process revealed raw engine behaviors, such as closing tags returning residual buffer data instead of clean strings, requiring strict discipline around iterable validation. Infrastructure hurdles added to the challenge, including a corrupted Windows virtual environment breaking GitHub Actions workflows, which was resolved by clearing the dependency cache. Despite the exhaustion, the developer found deep satisfaction in safely catching C-engine crashes and confirming correct data alignment across the Python-C boundary.

0
ProgrammingDEV Community ·

SEC EDGAR Full-Text Search API Lets Anyone Query All Filings Since 2001 for Free

The U.S. SEC's EDGAR platform offers a free, keyless full-text search API that indexes every filing submitted since 2001. Accessible via a simple HTTP GET request, the API accepts parameters for keywords, form types, date ranges, and company CIK numbers, requiring no login or authentication. Results are returned in Elasticsearch-style JSON, with each record containing the company name, ticker, filing date, and a direct link to the document. Developers can search for specific risk phrases such as 'going concern' or 'material weakness' across all filers, or track mentions of executives and products over time. The API returns up to 100 results per request and supports pagination, though EDGAR caps total results at 10,000 per query.

0
ProgrammingDEV Community ·

Go developer builds AVX2 scanner to split 10GB JSON files at 4.1 GB/s

A developer working with large JSON files — including ML datasets and analytics dumps ranging up to tens of gigabytes — found that standard Go parsing approaches consumed three to four times the file size in RAM. Instead of fully parsing the JSON, the solution treats the data as a raw byte stream and uses a lightweight state machine to locate element boundaries by tracking nesting depth and string delimiters. This boundary-scanning approach skips token classification, memory allocation, and type conversion entirely, returning slices of the original buffer with zero extra copies. The hot loop was further optimized using AVX2 SIMD assembly, processing 32 bytes per CPU cycle. Benchmarks showed the scanner achieving approximately 4.1 GB/s throughput with no meaningful memory overhead, compared to around 107 MB/s for standard encoding/json and 400–700 MB/s for optimized parsers like sonic or simdjson-go.

How I Earn Free Google Play Codes Every Day With a Simple Daily Spin · ShortSingh