Encontramos 20 resultados para "pandas"
Turn a DataFrame into an interactive Streamlit dashboard with filters, metrics, charts, and deliberate caching.
Validate DataFrame columns, types, and business rules with Pandera while building and testing a small sales pipeline.
Combine preprocessing and a model in a scikit-learn Pipeline, validate it correctly, and keep test information out of training.
Query CSV, Parquet, and in-memory DataFrames with SQL through DuckDB and Python, without operating a database server.
Use Polars expressions and lazy execution for clear DataFrame pipelines, while understanding when to compare, combine, or stay with Pandas.
A direct answer with realistic timelines: how long it takes to learn Python from scratch based on your goal, study hours, and specialization path.
Discover why Python dominates the programming universe in 2026 and how this versatile language can radically transform your tech career.
Master generators and iterators in Python. Learn hands-on how to use yield, iter, next, and generator expressions to write more efficient, memory-friendly code.
Python and JavaScript are the two most popular languages in the world. Compare syntax, performance, job market, and discover which one is right for you.
Learn to use Python pathlib module for object-oriented file and directory manipulation. Complete guide with methods, operations, and practical projects.
Master Python best practices with this complete clean code guide. Learn PEP 8, type hints, docstrings, naming conventions, and code quality tools.
Master Python if __name__ == "__main__". Understand the __name__ variable, create reusable modules, structure professional scripts, and avoid common errors.
Python is one of the most versatile programming languages. Discover what Python is used for: web, data, AI, automation, APIs, IoT and more.
Master Large Language Model integration in Python. Learn to use the OpenAI API, LangChain, embeddings, and build intelligent applications with generative AI.
Master Python for financial data analysis. Learn to use yfinance, pandas, and matplotlib to analyze stocks, calculate technical indicators, and create financial market visualizations.
Integrate Python with MongoDB using PyMongo. Complete guide with CRUD, aggregation, indexes, and best practices for real-world applications.
Master Python data visualization with Matplotlib, Seaborn and Plotly. Learn to create professional charts, explore data visually, and build interactive dashboards.
Master every Python operator type. A complete, practical guide covering arithmetic, logical, comparison, bitwise, assignment, membership, and identity operators with real-world examples.
Master Python performance optimization with advanced techniques: profiling, memoization, concurrency, C extensions and best practices for significantly faster code.
Master Python for Data Science: pandas, NumPy, Matplotlib, and Scikit-learn. Complete guide with real-world projects for data analysis and machine learning.