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pratikfalke / pygentic.md
Created May 25, 2024 15:17 — forked from ruvnet/pygentic.md
Pygentic Agent Framework 
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  / _ \/\_/\__ _  ___ _ __ | |_(_) ___ 
 / /_)/\_ _/ _` |/ _ \ '_ \| __| |/ __|
/ ___/  / \ (_| |  __/ | | | |_| | (__ 
\/      \_/\__, |\___|_| |_|\__|_|\___|
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Introduction to Pygentic Framework

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pratikfalke / extracting-financial-statements-from-sec-filings.ipynb
Created February 21, 2024 18:02 — forked from janlukasschroeder/extracting-financial-statements-from-sec-filings.ipynb
extracting-financial-statements-from-sec-filings.ipynb
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pratikfalke / XBRL-to-Excel-Python.md
Created February 21, 2024 18:00 — forked from aspose-finance-gists/XBRL-to-Excel-Python.md
Convert XBRL to Excel in Python
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pratikfalke / ES6, ES7, ES8, ES9, ES10 and ES11 features.md
Created February 17, 2024 12:38 — forked from rajaramtt/ES6, ES7, ES8, ES9, ES10 and ES11 features.md
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pratikfalke / The_Well-Architected_Framework_Checklist.md
Created December 11, 2023 16:48 — forked from amad/The_Well-Architected_Framework_Checklist.md
AWS Well-Architected Framework Checklist

The Well-Architected Framework Checklist

This is the set of questions presented on The Well-Architected Framework whitepaper designed to evaluate how well your architecture is aligned with AWS best practices.

Security Pillar

Data Protection

  • How are you encrypting and protecting your data at rest?
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pratikfalke / logger.py
Created June 4, 2022 08:29 — forked from nkhitrov/logger.py
Configure uvicorn logs with loguru for FastAPI
"""Configure handlers and formats for application loggers."""
import logging
import sys
from pprint import pformat
# if you dont like imports of private modules
# you can move it to typing.py module
from loguru import logger
from loguru._defaults import LOGURU_FORMAT
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pratikfalke / spark_tips_and_tricks.md
Created November 30, 2019 14:29 — forked from dusenberrymw/spark_tips_and_tricks.md
Tips and tricks for Apache Spark.

Spark Tips & Tricks

Misc. Tips & Tricks

  • If values are integers in [0, 255], Parquet will automatically compress to use 1 byte unsigned integers, thus decreasing the size of saved DataFrame by a factor of 8.
  • Partition DataFrames to have evenly-distributed, ~128MB partition sizes (empirical finding). Always err on the higher side w.r.t. number of partitions.
  • Pay particular attention to the number of partitions when using flatMap, especially if the following operation will result in high memory usage. The flatMap op usually results in a DataFrame with a [much] larger number of rows, yet the number of partitions will remain the same. Thus, if a subsequent op causes a large expansion of memory usage (i.e. converting a DataFrame of indices to a DataFrame of large Vectors), the memory usage per partition may become too high. In this case, it is beneficial to repartition the output of flatMap to a number of partitions that will safely allow for appropriate partition memory sizes, based upon the
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pratikfalke / introrx.md
Created August 18, 2018 19:55 — forked from staltz/introrx.md
The introduction to Reactive Programming you've been missing
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pratikfalke / _cypher-tips-and-tricks.adoc
Created June 7, 2018 13:37 — forked from jexp/_cypher-tips-and-tricks.adoc
#neo4j cypher tips & tricks