AI GE Gen. Devin DL. How to deploy the llama3 large model in CPU and GPU environments with Ollama Ollama is a utility designed to simplify the local deployment and operation of large language models. It provides a lightweight and…
AI GE Gen. Devin DL. Introduction to AI Model Quantization Formats When downloading models on HuggingFace, you often come across model names with labels like FP16, GPTQ, GGML, and more. For those unfamiliar…
TCH GE Gen. Devin DL. A Quick Tutorial on Deploying a Python Flask Application Using Docker Introduction to Docker
HUM AI GE Gen. Devin DL. Introduction to Data Standardization and Normalization in Python Pandas In data analysis and machine learning, data standardization (scaling) and normalization are two common data preprocessing methods…
GE Gen. Devin DL. Great Expectations: The Ultimate All-in-One Python Tool for Automated Data Quality Validation! A frequently mentioned issue in data governance is data quality. Problems such as missing values, outliers, distribution drift…
GE Gen. Devin DL. Advanced Data Interpolation Methods in Python Pandas In data analysis, missing values are a common problem — especially when working with real-world datasets. The presence of missing data can…
SCI GE Gen. Devin DL. How to Perform Rolling Statistics with Pandas for Time Series Data Analysis In data analysis and processing, rolling statistics are a common and valuable technique — especially when working with time series data.
GE Gen. Devin DL. Python Pandas Memory Mapping: Techniques for Handling Large Files In today’s era of big data, processing extremely large data files has become a common challenge in data analysis. Traditional data…
GE Gen. Devin DL. How to Set Decimal Precision and Display Formats in Pandas In data analysis and processing, we often encounter issues related to the calculation and display of decimals. Decimal precision refers to…
TCH GE Gen. Devin DL. How to Use Spring AI ETL API to Extract Data? ETL stands for Extract-Transform-Load, referring to the process of data extraction (Extract), transformation (Transform), and loading…
GE Gen. Devin DL. Introduction to Fundamental Operations of Polars Dataframe Over the past decade, Pandas has long been the “king” of Python data analysis. But by 2025, a rising challenger named Polars has quickly…
MDA TCH GE Gen. Devin DL. Python File Handling: Binary Reading vs Base64 Encoding In Python programming, file handling is one of the most common tasks. Whether you’re reading images, videos, or processing text files, it’s…
TCH ECO GE Gen. Devin DL. How to Protect User Privacy with Data Masking in Python When working with user data, protecting privacy is a critically important issue. Whether you are handling personal information, financial…
AI TCH SCI GE Gen. Devin DL. 10 More Useful Python Packages for Data Science Projects Python is the most beginner-friendly programming language. With the help of fundamental packages like numpy and scipy, Python stands out as…
TCH HUM AI GE Gen. Devin DL. Load Testing Machine Learning Models: Using Locust to Simulate High Concurrency Requests and… At midnight, the ops messages exploded — the newly deployed AI application model service crashed during peak traffic hours. We have seen…
GE Gen. Devin DL. Creating Progress Bars in Python: There Are So Many Ways! If you haven’t used progress bars before, you might think they add unnecessary complexity or are hard to maintain. However, it’s quite the…
GE Gen. Devin DL. Analyzing Store Sales Data with Pandas: Precision Control, Percent Formatting, and Labeling In this post, we’ll explore how to use Pandas to analyze store sales data in a practical and efficient way. We’ll start by preparing the…