How chunked arrays turned a frozen machine into a finished climate model ...
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Generate realistic test data in Python fast. No dataset required
Learn the NumPy trick for generating synthetic data that actually behaves like real data.
Learn the essentials of CIAM for modern software development. Explore passwordless authentication, mfa, and how to scale user management securely.
If Outlook disappeared or has stopped working after importing PST file in Windows 11, here is how you can fix the problem. You can go through this article if you have already imported the PST file ...
Abstract: We present HaPy-Bug, a curated dataset of 793 Python source code commits associated with bug fixes, with each line of code annotated by three domain experts. The annotations offer insights ...
JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...
Abstract: Python is one of the fastest-growing programming languages and currently ranks as the top language in many lists, even recently overtaking JavaScript as the top language on GitHub. Given its ...
sas_dataset_json is a comprehensive SAS macro-package that enables seamless bidirectional conversion between SAS datasets and the CDISC-compliant Dataset-JSON v1.1 format. Developed with clinical data ...
What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...
This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...
The newly approved Python Enhancement Proposal 751 gives Python a standard lock file format for specifying the dependencies of projects. Here’s the what, why, and when. Python Enhancement Proposal ...
Is the fine-tuning dataset constructed as follows: firstly Run the following command and it generate a state_action.json file: python run_open_LLM.py --llm_model LLM_MODEL_NAME_ONLY_FOR_LOG --llm_path ...
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