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Build a Spotify Music Time Machine with Python and OAuth 2.0

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Build a Spotify Music Time Machine with Python and OAuth 2.0
Authenticate with Spotify using OAuth 2.0, fetch your listening data, and create playlists programmatically - all in Python.
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Python Strings Explained Simply (Common Operations and Methods)
Strings are used to handle text in Python. They are one of the most common data types and come with...
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How to use match-case in Python (hint: not for if statements)
match-case is Python’s structural pattern matching feature (introduced in Python 3.10). Think of it...
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Checking Django Settings
I still keep coming back to this "the settings file still feels like a lot" concern in...
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I Built a Production-Grade Stripe MCP Server in Python — Here's What I Learned
The Model Context Protocol (MCP) ecosystem is exploding. There are 17,000+ MCP servers out there. But...
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Building a Secure MCP Server with Python, Cloud Run, and Gemini CLI
Leveraging Gemini CLI and the underlying Gemini LLM to build secure Model Context Protocol (MCP) AI...
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The State of Top 10 AI Tools in 2023 That Will Make Your Life Easier in 2026
Top-10 AI Tools in 2023 That Will Make Your Life Easier – Or, How Listicles Keep Failing at...
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I Tried Streamlit for the First Time and Built an MLB Bat Tracking Dashboard
How I built a 5-tab Streamlit dashboard using my own OSS library (savant-extras) to visualize Baseball Savant bat tracking data.
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🛌 Beginner-Friendly Guide 'Longest Balanced Substring I' - Leetcode Problem 3713 (C++, Python, JavaScript)
Finding patterns within a sea of characters is a fundamental skill in both competitive programming...
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Why I built Django Orbit: Reimagining observability for the 2026 Django developer
I have spent over five years working deep in the backend trenches with Python and Django. During that...
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Two Ways to Move Tensors Without Stopping: Inside vLLM's Async GPU Transfer Patterns
A single torch.cuda.synchronize() in the wrong place can erase every optimization you spent weeks...
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Diffusion-Pretrained Dense and Contextual Embeddings
In this report, we introduce pplx-embed, a family of multilingual embedding models that employ multi-stage contrastive learning on a diffusion-pretrained language model backbone for web-scale retrieval. By leveraging bidirectional attention through diffusion-based pretraining, our models capture comprehensive bidirectional context within passages, enabling the use of mean pooling and a late chunki
arXiv
Elvin Babanlı
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