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| --- | ||
| title: Learn Altair | ||
| description: > | ||
| Learn the basics of Altair, a high-performance visualization library, | ||
| using lessons developed at the University of Washington. | ||
| --- | ||
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| You can open and run these notebooks in [molab](https://molab.marimo.io), marimo's free hosted notebook platform. | ||
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| ## Notebooks | ||
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| - Introduction to Altair [](https://molab.marimo.io/github/marimo-team/learn/blob/main/altair/01_introduction.py) | ||
| - Data Types, Graphical Marks, and Visual Encoding Channels [](https://molab.marimo.io/github/marimo-team/learn/blob/main/altair/02_marks_encoding.py) | ||
| - Data Transformation [](https://molab.marimo.io/github/marimo-team/learn/blob/main/altair/03_data_transformation.py) | ||
| - Scales, Axes, and Legends [](https://molab.marimo.io/github/marimo-team/learn/blob/main/altair/04_scales_axes_legends.py) | ||
| - Multi-View Composition [](https://molab.marimo.io/github/marimo-team/learn/blob/main/altair/05_view_composition.py) | ||
| - Interaction [](https://molab.marimo.io/github/marimo-team/learn/blob/main/altair/06_interaction.py) | ||
| - Cartographic Visualization [](https://molab.marimo.io/github/marimo-team/learn/blob/main/altair/07_cartographic.py) | ||
| - Altair Debugging Guide [](https://molab.marimo.io/github/marimo-team/learn/blob/main/altair/08_debugging.py) | ||
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| ## Acknowledgments | ||
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| These notebooks were created by Jeffrey Heer, Dominik Moritz, Jake VanderPlas, and Brock Craft | ||
| as part of the [Visualization Curriculum](https://uwdata.github.io/visualization-curriculum/intro.html) | ||
| at the University of Washington. | ||
| Our thanks to the authors for making their work available under an open license: | ||
| if we all share a little, we all get a lot. |
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| --- | ||
| title: Learn DuckDB | ||
| description: > | ||
| These notebooks teach you the basics of DuckDB, | ||
| a fast in-memory database engine that can interoperate | ||
| with dataframes, and show how marimo gives DuckDB superpowers. | ||
| tracking: 48 | ||
| --- | ||
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| You can open and run these notebooks in [molab](https://molab.marimo.io), marimo's free hosted notebook platform. | ||
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| ## Notebooks | ||
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| - What is DuckDB? [](https://molab.marimo.io/github/marimo-team/learn/blob/main/duckdb/01_getting_started.py) | ||
| - Loading Parquet files with DuckDB [](https://molab.marimo.io/github/marimo-team/learn/blob/main/duckdb/08_loading_parquet.py) | ||
| - Loading JSON [](https://molab.marimo.io/github/marimo-team/learn/blob/main/duckdb/09_loading_json.py) | ||
| - Working with Apache Arrow [](https://molab.marimo.io/github/marimo-team/learn/blob/main/duckdb/11_working_with_apache_arrow.py) | ||
| - Loading CSVs [](https://molab.marimo.io/github/marimo-team/learn/blob/main/duckdb/DuckDB_Loading_CSVs.py) | ||
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| ## Contributors | ||
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| Thanks to our notebook authors: | ||
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| * [Mustjaab](https://github.com/Mustjaab) | ||
| * [julius383](https://github.com/julius383) | ||
| * [thliang01](https://github.com/thliang01) |
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| --- | ||
| title: Learn Optimization | ||
| description: > | ||
| Learn the basics of convex optimization using Python, and | ||
| see how to apply these ideas to vehicle control, portfolio | ||
| allocation in finance, and other areas. | ||
| --- | ||
|
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| You can open and run these notebooks in [molab](https://molab.marimo.io), marimo's free hosted notebook platform. | ||
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| After working through these notebooks, you'll understand how to create | ||
| and solve optimization problems using Python's | ||
| [CVXPY](https://github.com/cvxpy/cvxpy) library, as well as how to | ||
| apply what you've learned to real-world problems. | ||
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| ## Notebooks | ||
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| - Least Squares [](https://molab.marimo.io/github/marimo-team/learn/blob/main/optimization/01_least_squares.py) | ||
| - Linear Program [](https://molab.marimo.io/github/marimo-team/learn/blob/main/optimization/02_linear_program.py) | ||
| - Minimal Fuel Optimal Control [](https://molab.marimo.io/github/marimo-team/learn/blob/main/optimization/03_minimum_fuel_optimal_control.py) | ||
| - Quadratic Program [](https://molab.marimo.io/github/marimo-team/learn/blob/main/optimization/04_quadratic_program.py) | ||
| - Portfolio Optimization [](https://molab.marimo.io/github/marimo-team/learn/blob/main/optimization/05_portfolio_optimization.py) | ||
| - Convex Optimization [](https://molab.marimo.io/github/marimo-team/learn/blob/main/optimization/06_convex_optimization.py) | ||
| - Semidefinite Program [](https://molab.marimo.io/github/marimo-team/learn/blob/main/optimization/07_sdp.py) | ||
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|  | ||
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| _SpaceX solves convex optimization problems onboard to land its rockets, using CVXGEN, a code generator for quadratic programming developed at Stephen Boyd's Stanford lab. Photo by SpaceX, licensed CC BY-NC 2.0._ | ||
|
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| ## Contributors | ||
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| Thanks to our notebook authors: | ||
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| * [Akshay Agrawal](https://github.com/akshayka) |
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| --- | ||
| title: Learn Polars | ||
| description: > | ||
| Learn the basics of data wrangling with a high-performance Python library | ||
| called Polars. | ||
| tracking: 40 | ||
| --- | ||
|
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| You can open and run these notebooks in [molab](https://molab.marimo.io), marimo's free hosted notebook platform. | ||
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| ## Notebooks | ||
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| - An introduction to Polars [](https://molab.marimo.io/github/marimo-team/learn/blob/main/polars/01_why_polars.py) | ||
| - DataFrames [](https://molab.marimo.io/github/marimo-team/learn/blob/main/polars/02_dataframes.py) | ||
| - Loading Data [](https://molab.marimo.io/github/marimo-team/learn/blob/main/polars/03_loading_data.py) | ||
| - Basic operations on data [](https://molab.marimo.io/github/marimo-team/learn/blob/main/polars/04_basic_operations.py) | ||
| - Reactive Plots [](https://molab.marimo.io/github/marimo-team/learn/blob/main/polars/05_reactive_plots.py) | ||
| - Polars with Marimo's Dataframe Transformer [](https://molab.marimo.io/github/marimo-team/learn/blob/main/polars/06_dataframe_transformer.py) | ||
| - SQL Features in Marimo and Polars [](https://molab.marimo.io/github/marimo-team/learn/blob/main/polars/07_querying_with_sql.py) | ||
| - Working with Columns [](https://molab.marimo.io/github/marimo-team/learn/blob/main/polars/08_working_with_columns.py) | ||
| - Data Types [](https://molab.marimo.io/github/marimo-team/learn/blob/main/polars/09_data_types.py) | ||
| - Strings [](https://molab.marimo.io/github/marimo-team/learn/blob/main/polars/10_strings.py) | ||
| - Dealing with Missing Data [](https://molab.marimo.io/github/marimo-team/learn/blob/main/polars/11_missing_data.py) | ||
| - Aggregations [](https://molab.marimo.io/github/marimo-team/learn/blob/main/polars/12_aggregations.py) | ||
| - Window Functions [](https://molab.marimo.io/github/marimo-team/learn/blob/main/polars/13_window_functions.py) | ||
| - User-Defined Functions [](https://molab.marimo.io/github/marimo-team/learn/blob/main/polars/14_user_defined_functions.py) | ||
| - Lazy Execution [](https://molab.marimo.io/github/marimo-team/learn/blob/main/polars/16_lazy_execution.py) | ||
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| ## Contributors | ||
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| Thanks to our notebook authors: | ||
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| * [Koushik Khan](https://github.com/koushikkhan) | ||
| * [Péter Gyarmati](https://github.com/peter-gy) | ||
| * [Joram Mutenge](https://github.com/jorammutenge) | ||
| * [etrotta](https://github.com/etrotta) | ||
| * [Debajyoti Das](https://github.com/debajyotid2) |
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| --- | ||
| title: Learn Probability | ||
| description: > | ||
| These marimo notebooks teach the fundamental of probability with | ||
| an emphasis on interactive learning and computation in Python. | ||
| --- | ||
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| You can open and run these notebooks in [molab](https://molab.marimo.io), marimo's free hosted notebook platform. | ||
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| Much of the structure and many explanations are adapted from Chris Piech's | ||
| [Probability for Computer Scientists](https://chrispiech.github.io/probabilityForComputerScientists/en/index.html) | ||
| course reader. | ||
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| ## Notebooks | ||
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| - Sets [](https://molab.marimo.io/github/marimo-team/learn/blob/main/probability/01_sets.py) | ||
| - Axioms of Probability [](https://molab.marimo.io/github/marimo-team/learn/blob/main/probability/02_axioms.py) | ||
| - Probability of Or [](https://molab.marimo.io/github/marimo-team/learn/blob/main/probability/03_probability_of_or.py) | ||
| - Conditional Probability [](https://molab.marimo.io/github/marimo-team/learn/blob/main/probability/04_conditional_probability.py) | ||
| - Independence in Probability Theory [](https://molab.marimo.io/github/marimo-team/learn/blob/main/probability/05_independence.py) | ||
| - Probability of And [](https://molab.marimo.io/github/marimo-team/learn/blob/main/probability/06_probability_of_and.py) | ||
| - Law of Total Probability [](https://molab.marimo.io/github/marimo-team/learn/blob/main/probability/07_law_of_total_probability.py) | ||
| - Bayes' Theorem [](https://molab.marimo.io/github/marimo-team/learn/blob/main/probability/08_bayes_theorem.py) | ||
| - Random Variables [](https://molab.marimo.io/github/marimo-team/learn/blob/main/probability/09_random_variables.py) | ||
| - Probability Mass Functions [](https://molab.marimo.io/github/marimo-team/learn/blob/main/probability/10_probability_mass_function.py) | ||
| - Expectation [](https://molab.marimo.io/github/marimo-team/learn/blob/main/probability/11_expectation.py) | ||
| - Variance [](https://molab.marimo.io/github/marimo-team/learn/blob/main/probability/12_variance.py) | ||
| - Bernoulli Distribution [](https://molab.marimo.io/github/marimo-team/learn/blob/main/probability/13_bernoulli_distribution.py) | ||
| - Binomial Distribution [](https://molab.marimo.io/github/marimo-team/learn/blob/main/probability/14_binomial_distribution.py) | ||
| - Poisson Distribution [](https://molab.marimo.io/github/marimo-team/learn/blob/main/probability/15_poisson_distribution.py) | ||
| - Continuous Distributions [](https://molab.marimo.io/github/marimo-team/learn/blob/main/probability/16_continuous_distribution.py) | ||
| - Normal Distribution [](https://molab.marimo.io/github/marimo-team/learn/blob/main/probability/17_normal_distribution.py) | ||
| - Central Limit Theorem [](https://molab.marimo.io/github/marimo-team/learn/blob/main/probability/18_central_limit_theorem.py) | ||
| - Maximum Likelihood Estimation [](https://molab.marimo.io/github/marimo-team/learn/blob/main/probability/19_maximum_likelihood_estimation.py) | ||
| - Naive Bayes Classification [](https://molab.marimo.io/github/marimo-team/learn/blob/main/probability/20_naive_bayes.py) | ||
| - Logistic Regression [](https://molab.marimo.io/github/marimo-team/learn/blob/main/probability/21_logistic_regression.py) | ||
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| ## Contributors | ||
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| Thanks to our notebook authors: | ||
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| * [Srihari Thyagarajan](https://github.com/Haleshot) | ||
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| --- | ||
| title: Learn Python | ||
| description: > | ||
| These notebooks will help you learn the basics of Python | ||
| programming in an easy, interactive way. | ||
| --- | ||
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| You can open and run these notebooks in [molab](https://molab.marimo.io), marimo's free hosted notebook platform. | ||
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| ## Notebooks | ||
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| - Numbers [](https://molab.marimo.io/github/marimo-team/learn/blob/main/python/01_numbers.py) | ||
| - Strings [](https://molab.marimo.io/github/marimo-team/learn/blob/main/python/02_strings.py) | ||
| - Collections [](https://molab.marimo.io/github/marimo-team/learn/blob/main/python/03_collections.py) | ||
| - Conditional logic [](https://molab.marimo.io/github/marimo-team/learn/blob/main/python/04_conditional_logic.py) | ||
| - Loops [](https://molab.marimo.io/github/marimo-team/learn/blob/main/python/05_loops.py) | ||
| - Dictionaries [](https://molab.marimo.io/github/marimo-team/learn/blob/main/python/06_dictionaries.py) | ||
| - Advanced Collections [](https://molab.marimo.io/github/marimo-team/learn/blob/main/python/07_advanced_collections.py) | ||
| - Functions [](https://molab.marimo.io/github/marimo-team/learn/blob/main/python/08_functions.py) | ||
| - Using Modules [](https://molab.marimo.io/github/marimo-team/learn/blob/main/python/09_modules.py) | ||
| - Handling Errors [](https://molab.marimo.io/github/marimo-team/learn/blob/main/python/10_exceptions.py) | ||
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| ## Contributors | ||
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| Thanks to our notebook authors: | ||
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| * [Srihari Thyagarajan](https://github.com/Haleshot) |
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