![]() The book Generate Rust bindings for GIR based libraries provides the documentation for the tools that gtk-rs provides to generate such bindings. More bindings can be found as part of the GNOME GitLab Rust Group.Īll these bindings are generated on the basis of GObject introspection (GIR). Relm 4 An idiomatic GUI library inspired by Elm and based on gtk4-rs.SourceView 5 A library extending GtkTextView with features typical for a source code editor.Adwaita Building blocks for modern GNOME applications.GStreamer Open source multimedia framework.Notable other projects within the gtk-rs ecosystem are While not part of the gtk-rs project, many of them are developed in close collaboration. While this book is targeted at people who want to develop GTK 4 applications, it also covers more general aspects of the GNOME stack such as GObject Concepts, The Main Event Loop and GSettings.īy now, a number of additional bindings for GObject based libraries exist. We recommend both new and experienced gtk-rs users to have a look at it. This polars project isĬompiled without avx target features.Julian Hofer is writing a book titled GUI development with Rust and GTK 4. dating from before 2011)? Install pip install polars-lts-cpu. Legacyĭo you want polars to run on an old CPU (e.g. Or for python users install pip install polars-u64-idx.ĭon't use this unless you hit the row boundary as the default polars is faster and consumes less memory. Going big.ĭo you expect more than 2^32 ~4,2 billion rows? Compile polars with the bigidx feature flag. We expose pyo3 extensions for DataFrame and Seriesĭata structures. Use custom Rust function in python?Įxtending polars with UDFs compiled in Rust is easy. However, both the Python package and the Python module are named polars, so youĬan pip install polars and import polars. Note that the Rust crate implementing the Python bindings is called py-polars to distinguish from the wrapped $ cd py-polars & maturin develop -release -C codegen-units=16 -C lto=thin -C target-cpu=native You can take latest release from crates.io, or if you want to use the latest features / performance improvements Releases happen quite often (weekly / every few days) at the moment, so updating polars regularly to get the latest bugfixes / features might not be a bad idea. Timezone support, only needed if are on Python<3.9 or you are on Windows Support for reading from Delta Lake Tables Support for reading from remote file systems Install with numpy for converting data to and from numpy arrays Install with Pandas for converting data to and from Pandas Dataframes/Series Install all optional dependencies (all of the following) You can also install the dependencies directly. Pip install 'polars ' # install a subset of all optional dependencies Collect with collect(streaming=True) to run the query streaming. Streaming fashion, this drastically reduces memory requirements so you might be able to process your 250GB dataset on your If you have data that does not fit into memory, polars lazy is able to process your query (or parts of your query) in a It comes with zero required dependencies, and this shows in the import times: In the TPCH benchmarks polars is orders of magnitudes faster than pandas, dask, modin and vaex See the results in DuckDB's db-benchmark. In fact, it is one of the best performing solutions available. Refer to polars-cli for more information. > SELECT sum(v1) as sum_v1, min(v2) as min_v2 FROM read_ipc( 'file.arrow ') WHERE id1 = 'id016 ' LIMIT 10 # run an inline sql query > polars -c "SELECT sum(v1) as sum_v1, min(v2) as min_v2 FROM read_ipc('file.arrow') WHERE id1 = 'id016' LIMIT 10 " # run interactively > polars │ "apple" ┆ "beetle" ┆ "fruits" ┆ 11 ┆ 4 ┆ 7 ┆ 4 ┆ 4 │ 9 months ago by Adam Farming payment tracker and minor improvements 1.8.24 Release 10 months ago by Adam Jagex rules update and party improvements 1.8.14 - 1.8.19 Releases last year by Adam Compost tracking and menu swapper improvements 1.8.8 - 1.8.13 Releases last year by Adam Loot tracker improvements 1.8. The Goose Book Developer documentation Blogs and more Goose vs Locust and jMeter. │ - ┆ - ┆ ng_fruits ┆ - ┆ rs ┆ uits ┆ uits ┆ _by_fruits │ │ fruits ┆ cars ┆ literal_stri ┆ B ┆ sum_A_by_ca ┆ sum_A_by_fr ┆ rev_A_by_fr ┆ sort_A_by_B │ # embarrassingly parallel execution & very expressive query language > df.
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