dgarhdez / pda

Ultimate repo containing the material in bite-sized pieces for learning Python for Data Analytics

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pda

Ultimate repo containing the material in bite-sized pieces for learning Python for Data Analytics

Table of Contents

  1. Python for Data Analytics 1 (pda1)

    1. Variables and Data Types
      1. Variables and objects
      2. Numeric types
      3. Strings
      4. Booleans
    2. Basic Operations
      1. Arithmetic operations
      2. String operations
      3. Boolean operations
    3. Data Structures
      1. Lists
      2. Tuples
      3. Sets
      4. Dictionaries
    4. Conditionals
      1. if/elif/else
      2. Definining variables with if/else
    5. Control Flow
      1. for loops
      2. while loops
      3. break and continue
    6. List/set/dict comprehensions
    7. Functions
      1. Defining functions
      2. Arguments and parameters
      3. return statement
      4. Lambda functions
    8. I/O and context managers
      1. Reading and writing files
      2. Context managers
    9. Error handling
      1. try/except
      2. raise
    10. Pandas objects
      1. Series
      2. DataFrames
    11. Slicing, indexing, filtering
      1. Slicing
      2. Indexing
      3. Filtering
    12. Groupby operations
      1. Groupby method and object
      2. Aggregation
      3. Transformation
    13. Concatenate, merge, join
      1. Concatenate
      2. Merge
      3. Join

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Ultimate repo containing the material in bite-sized pieces for learning Python for Data Analytics

License:MIT License


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