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How to Combine Streamlit, Pandas, and Plotly for Interactive Data Apps

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Top 5 Frameworks for Distributed Machine Learning Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

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Go vs. Python for Modern Data Workflows: Need Help Deciding?

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Python works best for: Exploratory data analysis and prototyping Machine learning model development Complex ETL with business logic Statistical analysis and research Data visualization and reporting Go: Built for Scale and Speed Go takes a different approach to data processing, focusing on performance and reliability from the start.

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7 Python Statistics Tools That Data Scientists Actually Use in 2025 - KDnuggets

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Even in simple analytical projects, we often use Scikit-learn to convert categorical features into numerical ones, normalize the data, and more. Matplotlib: Visualizing Statistical Insights Matplotlib is the standard Python library for data visualization. Learn more: [link] 7.

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Forget Streamlit: Create an Interactive Data Science Dashboard in Excel in Minutes

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By Shamima Sultana on June 19, 2025 in Data Science Image by Editor | Midjourney While Python-based tools like Streamlit are popular for creating data dashboards, Excel remains one of the most accessible and powerful platforms for building interactive data visualizations.

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Why You Need RAG to Stay Relevant as a Data Scientist

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By Nate Rosidi , KDnuggets Market Trends & SQL Content Specialist on June 11, 2025 in Language Models Image by Author | Canva If you work in a data-related field, you should update yourself regularly. Data scientists use different tools for tasks like data visualization, data modeling, and even warehouse systems.

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A Complete Guide to Matplotlib: From Basics to Advanced Plots

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Generative AI: A Self-Study Roadmap Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

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AI Agents in Analytics Workflows: Too Early or Already Behind?

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api_key = "api-key-here" st.set_page_config(page_title="Agentic Data Explorer", layout="wide") st.title("Chat With Your Data — Agent + Visual Insights") uploaded_file = st.file_uploader("Upload your CSV or Excel file", type=["csv", "xlsx"]) if uploaded_file: # Read file if uploaded_file.name.endswith(".csv"): value_counts().head(15)

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