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Python Deep Dive Handwritten Notes

249.00

Unlock the secrets of Python with our visually engaging “Python Deep Dive: Handwritten Notes” eBook. From basics to advanced topics, our colorful and concise notes make learning Python fun and easy. With practical examples and convenient eBook format, dive into Python mastery today!

Benefits:

  1. Clear and Neat Writing
  2. Easiest Explanation
  3. Best for Exams Preparation
  4. Cover Almost Python Topics
  • Pages: 226
  • Chapters: 12
  • Syllabus: Find Syllabus Below

Description

Syllabus Included in this Ebook👇

 

Chapter 1: Introduction to Python

  • What is Python?
  • Python’s history and popularity
  • Installing Python
  • Running Python scripts
  • Python development environments (IDLE, VSCode, Jupyter Notebook, etc.)
  • The print() function
  • Basic arithmetic operations

Chapter 2: Variables and Data Types

  • Variables and naming conventions
  • Numeric data types (int, float)
  • Strings and string manipulation
  • Booleans
  • Type conversion (int(), float(), str())
  • Variables and memory

Chapter 3: Control Flow

  • If statements
  • Comparison operators (==, !=, <, >, <=, >=)
  • Logical operators (and, or, not)
  • Else and elif statements
  • Nested if statements
  • The while loop
  • The for loop
  • Loop control statements (break, continue)
  • Using range() in for loops

Chapter 4: Lists and Tuples

  • Lists and their methods (append, extend, pop, remove, etc.)
  • Indexing and slicing
  • List comprehension
  • Tuples and their immutability
  • Tuple packing and unpacking Chapter 5: Dictionaries and Sets
  • Dictionary basics
  • Dictionary methods (get, keys, values, items, etc.)
  • Sets and set operations (union, intersection, difference)
  • Creating dictionaries and sets

Chapter 6: Functions

  • Defining and calling functions
  • Function arguments and parameters
  • Returning values from functions
  • Local and global variables
  • Function documentation (docstrings)
  • Lambda functions
  • Recursion

Chapter 7: Modules and Packages

  • Importing modules
  • Creating and using your own modules
  •  Standard Library modules
  • Exploring third-party packages (e.g., NumPy, Pandas)

Chapter 8: File Handling

  • Opening and closing files
  • Reading and writing text files
  • Reading and writing binary files
  • Working with file paths
  • Exception handling with files

Chapter 9: Exception Handling

  • Understanding exceptions
  • The try-except block
  • Handling multiple exceptions
  • The else and finally clauses
  • Creating custom exceptions

Chapter 10: Regular Expressions

  • Pattern matching with regular expressions
  • Basic metacharacters and patterns
  • Using the re module

Chapter 11: Advanced Topics

  • Decorators
  • Generators and iterators
  • Context managers
  • Threading and multiprocessing
  • Working with databases (e.g., SQLite)

Chapter 14: Introduction to GUI Programming (

  • GUI libraries (e.g., Tkinter)
  • Creating basic GUI applications

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