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cheatsheets

Its tough remembering all the codes one wrote, especially if one have not use it for awhile. This is a collection of cheat codes I compiled to assist in generating faster scripts. They are updated whenever I encounter any lines of code which I forsee to be used again in the future.

  • Avro: A serialised file format based on json avro.md
  • Command Line: Bash & Command Line cmd.md
  • D3.js: Intro to D3, Dynamic Driven Documents
  • Docker: Docker container commands docker.md
  • Git: Git & GitHub/GitLab git.md
  • HDFS: Hadoop File System & Impala commands hdfs.md
  • Kafka: Kafka, a distributed streaming platform kafka.md
  • MongoDB: A popular NoSQL database based on json format mongodb.md
  • PostgreSQL: sql samples for postgresql postgres.sql
  • PostGIS: GIS database in PostgreSQL postgis.rst
  • SQL: Some basic SQL queries sql_basic.sql
  • Spark: Installation of Spark in Linux
  • Tableau: Sql queries for Tableau tableau.sql
  • Web Development: Folder containing web development languages cheatsheets like html, css & php
  • Python
    • arcpy: ArcGIS python library arcpy.py
    • GeoPandas: GIS manipulation in pandas dataframe geopandas.py
    • Matplotlib: Python's matplotlib package matplotlib.py
    • Numpy: python numpy package numpy.py
    • OpenCV: Image processing using opencv opencv.py
    • OS: python os package and file handling os.py
    • Networkx: Python's Networkx package network_basics.ipynb
    • Pandas: python pandas package pandas.py
    • Parallel Processing: parallel processing using python parallel_python.py
    • Python Installation: tips on python installation py_install.md
    • PySpark: pyspark package pyspark.py
    • Regular Expression: python re package re.py
    • Seaborn: Seaborn package seaborn.py
    • Skimage: Image processing using skimage skimage-tutorial.ipynb
    • Social Media: Folder containing python codes for various social media APIs, including Slack, Instagram, Facebook, Twitter
    • Sphinx: Documentation creation using sphinx sphinx.md
    • Web Scraping: Web-scraping using beautiful soup and selenium webscraping.py