Author: drweb

Statsmodels organizes its functionality into topic-based subpackages rather than dumping everything into a single namespace. Understanding this structure helps you find the right models quickly and import them efficiently.The library provides two primary access points: statsmodels.api for general use and statsmodels.formula.api for R-style formula syntax. Beyond these, specialized subpackages contain models, tools, and functions organized by statistical domain.Statsmodel Beginner’s Learning PathHow the API structure worksWhen you import statsmodels.api, you’re not loading the entire library. The API module collects the most commonly used classes and functions from various subpackages and presents them through a clean interface.Standard import convention: import statsmodels.api as…

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When you first encounter Statsmodels code, you’ll likely run into two terms that seem designed to confuse: endog and exog. Most Python libraries use X and y for their variables. Scikit-learn does it. Pandas tutorials do it. Even introductory statistics courses use these letters. So why does Statsmodels break from convention with these strange terms?The answer reveals something fundamental about how Statsmodels thinks about statistical modeling, and understanding these terms early will save you from countless head-scratching moments later.Statsmodel Beginner’s Learning PathWhat endog and exog Actually MeanLet’s start with the definitions. In Statsmodels:endog stands for “endogenous variable”—this is your dependent…

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In recent years, software development has made big strides. Tools like GitHub Copilot, ChatGPT, and other AI helpers have given developers the power to churn out code, tests, and documentation faster than ever. However, for solo founders and small startup teams, getting things written is only half the battle. Real challenges lie in getting it […]

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Every tutorial you read shows a different way to import Statsmodels. One guide starts with import statsmodels.api as sm. Another uses from statsmodels.formula.api import ols. A third imports directly from submodules like from statsmodels.regression.linear_model import OLS. Which approach should you use?The confusion stems from a deliberate design choice. Statsmodels offers multiple import paths because different users need different things. Researchers writing academic papers want one workflow. Data scientists doing quick exploratory analysis want another. Understanding these three approaches will save you from blindly copying code that doesn’t match your actual needs.Statsmodel Beginner’s Learning PathUnderstanding the Three Import ApproachesApproach 1: statsmodels.api…

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If you are in charge of managing a database server, from time to time you may need to run a query and inspect it carefully. While you can do that from the MySQL / MariaDB shell, but this tip will allow you to execute the MySQL/MariaDB Queries directly using the Linux command line AND save the output to a file for later inspection (this is particularly useful if the query return lots of records). Let us look at some simple examples of running MYSQL queries directly from the command line before we can move to a more advanced query. Setting…

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As development environments evolve at breakneck speed, our approach to securing them remains stuck in the past. I’ve watched countless organizations implement robust Identity and Access Management (IAM) solutions, deploy Identity Governance and Administration (IGA) tools, and then breathe a collective sigh of relief, believing they’ve solved their access control challenges. But have they? An […]

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A New Approach for Coding Agent Safety Coding agents like Claude Code, Gemini CLI, Codex, Kiro, and OpenCode are changing how developers work. But as these agents become more autonomous with capabilities like deleting repos, modifying files, and accessing secrets, developers face a real problem: how do you give agents enough access to be useful without adding unnecessary risk to your local…

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