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Python
    About Lesson

    1. An Overview of Python

      • Python History and Timeline
      • Python Ecosystem: Advantages and Disadvantages
      • Accessing Help with pydoc and other resources

    2. The Python Environment

      • Setting Up Python on Different Platforms (Windows/UNIX/Linux)
      • Using Python Interactive Shell and Running Python Scripts
      • Choosing IDEs and Editors for Python Development

    3. Getting Started

      • Variables and Data Types
      • Strings, Numbers, and Type Conversion
      • Basic Input/Output
      • Command-Line Arguments and Script Parameters

    4. Control Flow

      • Conditional Expressions and Operators
      • Loops (for, while) and Loop Controls (break, continue)
      • White Space Significance in Python

    5. Working with Sequences

      • Lists, Tuples, and Nested Structures
      • List and Dictionary Comprehensions
      • Sequence Operations and Functions
      • Generator Expressions for Efficient Data Handling

    6. File Handling

      • Reading and Writing Text and Binary Files
      • File Operations using open(), File Modes, and Context Managers
      • Struct Module for Binary Data Handling

    7. Dictionaries and Sets

      • Creating, Iterating, and Manipulating Dictionaries
      • Set Operations: Union, Intersection, Difference
      • Working with defaultdict and Counter

    8. Functions

      • Defining Functions, Parameters, and Return Values
      • Function Scope (Global and Local Variables)
      • Nested Functions and Lambda Expressions

    9. Sorting and Filtering

      • Sorting Data with sorted() and Lambda Functions
      • Custom Sorting using Key Functions like operator.itemgetter()
      • Filtering and Reverse Sorting

    10. Error Handling and Exceptions

    • Handling Syntax Errors and Runtime Exceptions
    • Using try/except/else/finally Blocks
    • Multiple Exceptions and Custom Exceptions
    1. Modules and Packages
    • Importing and Organizing Code into Modules and Packages
    • Module Search Path and Aliases
    • Creating and Using Custom Modules
    1. Object-Oriented Programming (OOP)
    • Understanding Classes, Objects, and Methods
    • Constructors, Instance Data, and Properties
    • Inheritance, Class Methods, and Static Methods
    1. Regular Expressions (Regex)
    • Regex Syntax and Searching with RE Objects
    • Grouping, Matching, and Replacement
    • Advanced Regex Features and Flags
    1. Python Standard Library
    • Overview of Key Libraries (sys, os, math, random, etc.)
    • Working with CSV Files and Structured Data
    • Math Functions and External Program Execution
    1. Dates and Times
    • DateTime Module for Date/Time Manipulations
    • Parsing, Formatting, and Translating Time Stamps
    • Using Calendars and Scheduling Tasks
    1. File System Operations
    • Navigating and Manipulating File Paths, Directories, and Files
    • Using os, shutil, and fileinput for File Operations
    • File Permissions and Attributes
    1. Advanced Data Handling
    • Pretty Printing Complex Data Structures
    • Managing Compressed Archives (zip, tar, gzip)
    • Handling Persistent Data with Shelve and Pickle
    1. Network Services
    • Grabbing Web Content using urllib and requests
    • Sending Emails with SMTP
    • Using SSH and FTP for Remote File Handling
    1. Building Real-Life Applications
    • Parsing Command-Line Options with argparse
    • Platform Detection and Cross-Platform Compatibility
    • Implementing Robust Logging and Signal Handling

     
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