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

aws bash cloud compute-engine docker dockerfile ec2 gcp graph pyspark python r-language shell spark virtual-machine

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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 (8 months ago)
• Default Branch: main
• Last Pushed: 2024-12-23T11:22:12.000Z (5 days ago)
• Last Synced: 2024-12-23T12:28:36.269Z (5 days ago)
• Topics: aws, bash, cloud, compute-engine, docker, dockerfile, ec2, gcp, graph, pyspark, python, r-language, shell, spark, virtual-machine
• Language: Python
• Homepage:
• Size: 1.12 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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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"

Available snippets:

```bash

├── 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

│   ├── altair

│   │   ├── plot_grid.py

│   │   └── scatterplot.py

│   ├── azure

│   │   └── blob_storage

│   │       ├── read_blob_contents_into_python_memory.py

│   │       └── write_python_obj_contents_to_blob.py

│   ├── 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

│   │   └── python_native_csv_writer.py

│   ├── data_structures_and_algs

│   │   └── len_of_longest_common_substring.py

│   ├── database

│   │   ├── basic_postgres_psycopg.py

│   │   └── basic_shelve_usage.py

│   ├── duckdb

│   │   └── gcp_bigquery_to_duckdb.md

│   ├── email

│   │   └── 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

│   │   └── save_and_load_models_joblib.py

│   ├── spark

│   │   └── html_word_counter_gcp_dataproc_gcp_cloud_storage_bs4_pyspark.md

│   ├── stats

│   │   └── find_best_fitting_univariate_distribution.py

│   └── templating

│       └── jinja2_basic_usage.py

├── terraform

│   └── gcp

│       └── create_gcp_service_account.md

└── vector_database

    └── qdrant

        ├── hybrid_search_python.py

        └── python_quickstart.md

```