-
python3-clickclick-20.10.2-1.lbn36.noarch
Click Click .. image::
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-clickhouse-connect-0.6.23-1.lbn36.x86_64
ClickHouse ConnectA high performance core database driver for connecting
ClickHouse to Python, Pandas, and Superset * Pandas DataFrames * Numpy Arrays *
PyArrow Tables * Superset Connector * SQLAlchemy 1.3 and 1.4 (limited feature
set)ClickHouse Connect currently uses the ClickHouse HTTP interface for maximum
compatibility. Installation pip install clickhouse-connect ClickHouse
Connect...
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-cloudpickle-3.1.1-2.lbn36.noarch
cloudpickle makes it possible to serialize Python constructs
not supported by the default pickle module from the Python standard
library. cloudpickle is especially useful for cluster computing where
Python expressions are shipped over the network to execute on remote
hosts, possibly close to the data. Among other things, cloudpickle
supports pickling for lambda expressions, functions and classes defined
interactively in the __main__ module.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-datapackage-1.15.2-1.lbn36.noarch
datapackage-py[ provided on the HuggingFace Datasets Hub. With a simple command like squad_dataset = load_dataset("rajpurkar/squad"), get any of these datasets ready to use in a dataloader for training/evaluating a ML model (Numpy/Pandas/PyTorch/TensorFlow/JAX),
efficient data pre-processing: simple, fast and reproducible data pre-processing for the public datasets as well as your own local datasets in CSV, JSON, text, PNG, JPEG, WAV, MP3, Parquet, etc. With simple commands like processed_dataset = dataset.map(process_example), efficiently prepare the dataset for inspection and ML model evaluation and training.
🎓 Documentation 🔎 Find a dataset in the Hub 🌟 Share a dataset on the Hub
🤗 Datasets is designed to let the community easily
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-e2b-1.4.0-1.lbn36.noarch
What is E2B?
E2B is an open-source infrastructure that allows you to run AI-generated code in secure isolated sandboxes in the cloud. To start and control sandboxes, use our JavaScript SDK or Python SDK.
Run your first Sandbox
1. Install SDK
pip install e2b-code-interpreter
2. Get your E2B API key
Sign up to E2B here.
Get your API key here.
Set environment variable with your API key
E2B_API_KEY=e2b_***
3. Execute code with code interpreter inside Sandbox
from e2b_code_interpreter import Sandbox
with Sandbox() as sandbox:
sandbox.run_code("x = 1")
execution = sandbox.run_code("x+=1; x")
print(execution.text) # outputs 2
4. Check docs
Visit E2B documentation.
5. E2B cookbook
Visit our Cookbook to get inspired by examples with different LLMs and AI frameworks.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-e2b-code-interpreter-1.5.0-1.lbn36.noarch
What is E2B?
E2B is an open-source infrastructure that allows you run to AI-generated code in secure isolated sandboxes in the cloud. To start and control sandboxes, use our JavaScript SDK or Python SDK.
Run your first Sandbox
1. Install SDK
pip install e2b-code-interpreter
2. Get your E2B API key
Sign up to E2B here.
Get your API key here.
Set environment variable with your API key.
E2B_API_KEY=e2b_***
3. Execute code with code interpreter inside Sandbox
from e2b_code_interpreter import Sandbox
with Sandbox() as sandbox:
sandbox.run_code("x = 1")
execution = sandbox.run_code("x+=1; x")
print(execution.text) # outputs 2
4. Check docs
Visit E2B documentation.
5. E2B cookbook
Visit our Cookbook to get inspired by examples with different LLMs and AI frameworks.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-fsspec-2025.3.2-1.lbn36.noarch
Filesystem Spec is a project to unify various projects and classes to work with
remote filesystems and file-system-like abstractions using a standard pythonic
interface.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-fsspec+arrow-2025.3.2-1.lbn36.noarch
This is a metapackage bringing in arrow extras requires for python3-fsspec.
It makes sure the dependencies are installed.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-fsspec+dask-2025.3.2-1.lbn36.noarch
This is a metapackage bringing in dask extras requires for python3-fsspec.
It makes sure the dependencies are installed.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36