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https://github.com/j-sephb-lt-n/useful-code-snippets
A searchable collection of useful little pieces of code
https://github.com/j-sephb-lt-n/useful-code-snippets
bash cloud compute-engine dataproc docker dockerfile ec2 gcp graph plotly-dash pyspark python rustworkx shell spark streamlit virtual-machine
Last synced: about 23 hours ago
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A searchable collection of useful little pieces of code
- Host: GitHub
- URL: https://github.com/j-sephb-lt-n/useful-code-snippets
- Owner: J-sephB-lt-n
- License: gpl-3.0
- Created: 2024-05-02T11:29:55.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-09-17T09:01:34.000Z (about 2 months ago)
- Last Synced: 2024-09-17T11:24:08.859Z (about 2 months ago)
- Topics: bash, cloud, compute-engine, dataproc, docker, dockerfile, ec2, gcp, graph, plotly-dash, pyspark, python, rustworkx, shell, spark, streamlit, virtual-machine
- Language: Python
- Homepage:
- Size: 1000 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# useful-code-snippets
A searchable collection of useful little pieces of code
I'm saving any sort of useful fragment of code in this repo.
You can do a basic keyword search across all of the scripts using [search.py](./search.py), for example:
```bash
python search.py "google cloud bigquery to cloud storage"
```Your query is compared against the script tags (tags are at the top of each code snippet script).
Words joined by underscore in the search query are considered a single phrase e.g. google_cloud_storage is interpreted by the search as "google cloud storage"
Current code snippets available:
```bash
snippets
├── R
│ └── dataviz
│ └── feature_distributions_by_continuous_target_variable.R
├── bash
│ ├── gcp
│ │ ├── list_n_random_filenames_from_cloud_storage_bucket.sh
│ │ └── setup_python_on_ec2_virtual_machine.sh
│ ├── llm
│ │ └── host_local_models_with_llama_cpp.sh
│ ├── misc
│ │ └── time_sections_in_bash_script.sh
│ └── ubuntu
│ └── install_chrome_browser_on_ubuntu.sh
├── css
│ └── tooltips.html
├── docker
│ ├── gcp
│ │ ├── flask_app_on_cloud_run.md
│ │ └── native_python_logging_in_compute_engine_vm_docker.py
│ ├── local_docker_builds.md
│ └── python
│ └── install_chrome_browser_in_python_docker_container
├── javascript
│ └── d3js
│ └── simple_line_chart.html
├── python
│ ├── cryptography
│ │ └── fernet_symmetric_encryption.py
│ ├── dashboard
│ │ ├── dash
│ │ │ ├── dash_basic_auth.py
│ │ │ ├── dash_element_tiling.py
│ │ │ └── dash_multi_tab_app.py
│ │ └── streamlit
│ │ ├── streamlit_layout_tiling_example.py
│ │ └── streamlit_on_gcp_cloud_run.md
│ ├── data
│ │ └── native_groupby_agg.py
│ ├── database
│ │ └── basic_shelve_usage.py
│ ├── duckdb
│ │ └── gcp_bigquery_to_duckdb.md
│ │ └── extract_info_from_mime_string.py
│ ├── gcp
│ │ ├── authorizing_rest_api_calls_to_gcp_resources.py
│ │ ├── bigquery
│ │ │ ├── all_bigquery_tables_to_cloud_storage_jsonl.py
│ │ │ ├── bigquery_to_local_jsonl.py
│ │ │ ├── bigquery_to_python.py
│ │ │ └── python_to_bigquery.py
│ │ ├── cloud_storage
│ │ │ ├── cloud_storage_to_python.py
│ │ │ ├── list_filepaths_in_cloud_storage_bucket.py
│ │ │ ├── python_object_to_cloud_storage.py
│ │ │ ├── upload_file_to_cloud_storage_bucket.py
│ │ │ └── write_to_gcp_cloud_storage_from_outside_gcp.py
│ │ └── self_deleting_vm.py
│ ├── graph
│ │ └── find_connected_node_paths.py
│ ├── gui
│ │ └── interactive_file_picker.py
│ ├── html
│ │ ├── download_webpage_content_javascript_render.py
│ │ ├── enumerate_html_tag_paths.py
│ │ ├── extract_css_from_webpage.py
│ │ └── extract_user_facing_text_from_html.py
│ ├── http
│ │ └── flask
│ │ ├── programmatically_host_local_flask_app.md
│ │ └── simple_auth_decorator.md
│ ├── hyperparameter_optimisation
│ │ └── optuna_hyperparam_tuning.py
│ ├── image
│ │ ├── arrange_images_in_grid.py
│ │ ├── extract_colour_palette_from_image.py
│ │ └── extract_colour_palette_from_webpage.py
│ ├── llm
│ │ ├── count_tokens_mistral_model.py
│ │ └── streaming_llama_cpp_response.py
│ ├── misc
│ │ ├── code_section_timer.py
│ │ ├── create_wordbased_id.py
│ │ ├── dict_pretty_print.py
│ │ ├── dynamic_logger_format.py
│ │ ├── function_logging_decorator.py
│ │ └── function_retry_wrapper.py
│ ├── nlp
│ │ └── text_to_bag_of_words_nltk.py
│ ├── regex
│ │ └── extract_domain_from_website_url.py
│ ├── selenium
│ │ ├── ip_rotation_with_auth_proxy_server.py
│ │ └── selenium_on_gcp_dev_util.py
│ ├── sklearn
│ │ └── pipeline_examples.py
│ ├── spark
│ │ └── html_word_counter_gcp_dataproc_gcp_cloud_storage_bs4_pyspark.md
│ └── stats
│ └── find_best_fitting_univariate_distribution.py
└── terraform
└── gcp
└── create_gcp_service_account.md43 directories, 61 files
```