Data Science: Pandas, NumPy and Jupyter

Data Science: Pandas, NumPy and Jupyter in Python: the news, the names and what changed.

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Latest in Data Science: Pandas, NumPy and Jupyter


dev.to > makeev > build-an-insider-buying-screener-with-python-and-sec-form-4-data-4eg1

Build an insider-buying screener with Python and SEC Form 4 data

4+ hour, 58+ min ago   (1355+ words) A director bought $101,760 of Tenax Therapeutics. Another bought $500,000 of Inhibrx Biosciences. Sorted by dollars, the second purchase comes first. Measured against the holding reported with each transaction, the increases were 2330.7% and 1.2%. Both numbers came back in the same API field....


medium.com > @fedortarasov > catboost-classification-from-scratch-in-python-and-excel-57d68f8a5548

CatBoost Classification from Scratch in Python and Excel

15+ hour, 38+ min ago   (1443+ words) Build a CatBoost classifier from scratch in Python and Excel. Derive Logloss, compare split scores, and reproduce leaf updates with runnable code....


dev.to > steve_m > python-basics-for-data-analysis-1b1n

Python Basics for Data Analysis

1+ day, 17+ hour ago   (461+ words) Performing data analysis requires a proper understanding of how the tool you are using works with data. Python is a valuable tool for data analysis, but before you jump the gun and load up your datasets, let's explore how Python…...


medium.com > @vova.tsygankov > python-for-finance-from-headache-to-mastery-1e137dfc8cb9

Python for Finance: From Headache to Mastery

2+ day, 16+ hour ago   (52+ words) Why NumPy masks speed up code but make it harder to read Introduction Python gained popularity in finance by the mid-2010s. Its simple syntax made it easy …...


dev.to > kevin_jang_200b10826b3a5d > python-routines-the-engineers-key-to-business-report-automation-3njg

Python Routines: The Engineer's Key to Business Report Automation

3+ day, 2+ hour ago   (542+ words) Let's be clear: automating business reports with Python isn't just slapping together a few lines of code. It’s about strategically utilizing APIs, data pipelines, and stored procedures to streamline processes. Understanding this architecture involves designing systems that are robust enough…...


medium.com > data-science-collective > i-replaced-my-pandas-workflow-with-polars-heres-what-actually-changed-35622d74cd2d

I Replaced My Pandas Workflow With Polars. Here’s What Actually Changed

1+ week, 1+ day ago   (34+ words) I didn’t switch from Pandas to Polars because I hated Pandas. Pandas had been part of my workflow for years. I knew the …...


starburst.io > info > workshop-choosing-the-right-python-path-for-starburst-from-dataframes-to-production-pipelines

Workshop: Choosing the Right Python Path for Starburst: From DataFrames to Production Pipelines | Starburst

1+ week, 2+ day ago   (198+ words) Workshop: Choosing the Right Python Path for Starburst: From DataFrames to Production Pipelines starburst.io Choosing the Right Python Path for Starburst: From DataFrames to Production Pipelines Python-first teams don’t want to bounce between SQL, notebooks, and orchestration tools just…...


community.deeplearning.ai > t > course-2-module-3-assignment-1-in-python-2-7-unable-to-install-numpy-in-conda > 895041

Course 2, Module 3, Assignment 1- In Python 2.7, unable to install Numpy in conda

1+ week, 3+ day ago   (148+ words) I tried to run magic_summation.py in the 2.7 python environment. The error i got was that the numpy package was not available. I tried running the conda install numpy with and without pinning. However, the installation always fails! For this exercise,…...


prnewswire.com > news-releases > daloopa-launches-scout-its-excel-native-ai-assistant-for-financial-modeling-302873853.html

Daloopa Launches Scout, Its Excel-Native AI Assistant for Financial Modeling

1+ week, 4+ day ago   (131+ words) Sep 09, 2026, 10:00 ET Built on Daloopa's trusted, audit-ready data layer, Scout turns plain-language commands into financial models directly in Excel. "Analysts should spend their time applying judgment, not on the manual, error-prone work of building and updating models," said Thomas Li,…...


haystackapp.io > jobs > ee1e5bdf-7667-4066-ad35-4365d538d277

Python Developer - Data & Analytics Team - Options Market Making at Maven - London | Haystack

3+ week, 4+ day ago   (184+ words) Maven is a market-leading proprietary trading firm deploying its own capital across discretionary, systematic, and market-making strategies. Backed by deep expertise in trading, technology, and research, we are relentlessly focused on improving liquidity across global listed derivatives. Through advanced execution…...