• Introduction to Python
  • Python Installation
  • Your First Python Program
  • Python Basics
  • Data Structures Deep Dive
  • Code Style & Documentation
  • Control Flow
  • Functions and Modules in Python
  • Modules & Packages
  • File Handling in Python
  • Python Error Handling and Exceptions
  • Object-Oriented Programming
  • Python IDEs & Editors
  • Iterators & Generators
  • Python Advanced Topics
  • Decorators
  • Regular Expressions
  • Python Ecosystem & Libraries
  • NumPy for Numerical Computing
  • Working with Databases
  • Pandas for Data Analysis
  • Data Visualization
  • Python Testing and Quality Assurance
  • Logging in Python
  • Building CLI Applications
  • Virtual Environments & Dependency Management
  • Type Hints & Static Analysis
  • Async Programming
  • Concurrency & Parallelism
  • Design Patterns in Python
  • Packaging & Publishing
  • Performance Optimization
  • Metaprogramming
  • Network Programming
  • Security Best Practices
  • DevOps & CI/CD for Python
  • Advanced Testing with pytest
  • GraphQL with Python
  • Event Streaming with Kafka
      • Getting Started with Django
      • Django Models & Database
      • Django Views & Templates
      • Django REST API
      • Django Authentication
      • Deploying Django
      • Getting Started with Flask
      • Flask Database Integration
      • Flask REST API
      • Deploying Flask
      • Getting Started with FastAPI
      • FastAPI Database Integration
      • FastAPI Authentication & Deployment
      • Testing FastAPI Applications
      • AWS Lambda with Python
      • Lambda + API Gateway
      • Lambda Best Practices
      • Deploying AWS Lambda
      • Google Cloud Functions with Python
      • Cloud Functions with Pub/Sub & Events
      • Google Cloud Functions Best Practices
      • Deploying Google Cloud Functions
      • Azure Functions with Python
      • Azure Functions: Cosmos DB & Queue Triggers
      • Azure Functions Best Practices
      • Deploying Azure Functions
      • TensorFlow Basics
      • Training Neural Networks with TensorFlow
      • NLP with TensorFlow
      • Computer Vision with TensorFlow
      • PyTorch Basics
      • PyTorch Training & Datasets
      • Computer Vision with PyTorch
      • Scikit-learn Fundamentals
      • Scikit-learn Pipelines & Model Selection
    • NLP with Hugging Face Transformers
    • Project: Todo CLI App
    • Project: REST API with FastAPI
    • Project: ML Classifier
    • Project: Serverless Image Processor
    • Capstone: Full-Stack ML Application
    • Project: Django Blog
    • Project: Flask URL Shortener
    • Project: WebSocket Chat Room
    • Project: ETL Data Pipeline
    • Exercises: Python Basics
    • Exercises: Control Flow
    • Exercises: Functions
    • Exercises: Object-Oriented Programming
    • Exercises: Data Structures
    • Exercises: Algorithms
        • Python Basics Exercise #1
        • Python Basics Exercise #2
        • Python Basics Exercise #3
        • Python Basics Exercise #4
        • Python Basics Exercise #5
        • Python Basics Exercise #6
        • Python Basics Exercise #7
        • Python Basics Exercise #8
        • Python Basics Exercise #9
        • Python Basics Exercise #10
        • Python Basics Exercise #11
        • Python Basics Exercise #12
        • Python Basics Exercise #13
        • Python Basics Exercise #14
        • Python Basics Exercise #15
        • Python Basics Exercise #16
        • Python Basics Exercise #17
        • Python Basics Exercise #18
        • Python Basics Exercise #19
        • Python Basics Exercise #20
        • Python Basics Exercise #21
        • Python Basics Exercise #22
        • Python Basics Exercise #23
        • Python Basics Exercise #24
        • Python Basics Exercise #25
        • Python Basics Exercise #26
        • Python Basics Exercise #27
        • Python Basics Exercise #28
        • Python Basics Exercise #29
        • Python Basics Exercise #30
        • Python Basics Exercise #31
        • Python Basics Exercise #32
        • Python Basics Exercise #33
        • Python Basics Exercise #34
        • Python Basics Exercise #35
        • Python Basics Exercise #36
        • Python Basics Exercise #37
        • Python Basics Exercise #38
        • Python Basics Exercise #39
        • Python Basics Exercise #40
        • Python Basics Exercise #41
        • Python Basics Exercise #42
        • Python Basics Exercise #43
        • Python Basics Exercise #44
        • Python Basics Exercise #45
        • Python Basics Exercise #46
        • Python Basics Exercise #47
        • Python Basics Exercise #48
        • Python Basics Exercise #49
        • Python Basics Exercise #50
        • Strings Exercise #1
        • Strings Exercise #2
        • Strings Exercise #3
        • Strings Exercise #4
        • Strings Exercise #5
        • Strings Exercise #6
        • Strings Exercise #7
        • Strings Exercise #8
        • Strings Exercise #9
        • Strings Exercise #10
        • Strings Exercise #11
        • Strings Exercise #12
        • Strings Exercise #13
        • Strings Exercise #14
        • Strings Exercise #15
        • Strings Exercise #16
        • Strings Exercise #17
        • Strings Exercise #18
        • Strings Exercise #19
        • Strings Exercise #20
        • Strings Exercise #21
        • Strings Exercise #22
        • Strings Exercise #23
        • Strings Exercise #24
        • Strings Exercise #25
        • Strings Exercise #26
        • Strings Exercise #27
        • Strings Exercise #28
        • Strings Exercise #29
        • Strings Exercise #30
        • Strings Exercise #31
        • Strings Exercise #32
        • Strings Exercise #33
        • Strings Exercise #34
        • Strings Exercise #35
        • Strings Exercise #36
        • Strings Exercise #37
        • Strings Exercise #38
        • Strings Exercise #39
        • Strings Exercise #40
        • Lists Exercise #1
        • Lists Exercise #2
        • Lists Exercise #3
        • Lists Exercise #4
        • Lists Exercise #5
        • Lists Exercise #6
        • Lists Exercise #7
        • Lists Exercise #8
        • Lists Exercise #9
        • Lists Exercise #10
        • Lists Exercise #11
        • Lists Exercise #12
        • Lists Exercise #13
        • Lists Exercise #14
        • Lists Exercise #15
        • Lists Exercise #16
        • Lists Exercise #17
        • Lists Exercise #18
        • Lists Exercise #19
        • Lists Exercise #20
        • Lists Exercise #21
        • Lists Exercise #22
        • Lists Exercise #23
        • Lists Exercise #24
        • Lists Exercise #25
        • Lists Exercise #26
        • Lists Exercise #27
        • Lists Exercise #28
        • Lists Exercise #29
        • Lists Exercise #30
        • Lists Exercise #31
        • Lists Exercise #32
        • Lists Exercise #33
        • Lists Exercise #34
        • Lists Exercise #35
        • Lists Exercise #36
        • Lists Exercise #37
        • Lists Exercise #38
        • Lists Exercise #39
        • Lists Exercise #40
        • Dictionaries Exercise #1
        • Dictionaries Exercise #2
        • Dictionaries Exercise #3
        • Dictionaries Exercise #4
        • Dictionaries Exercise #5
        • Dictionaries Exercise #6
        • Dictionaries Exercise #7
        • Dictionaries Exercise #8
        • Dictionaries Exercise #9
        • Dictionaries Exercise #10
        • Dictionaries Exercise #11
        • Dictionaries Exercise #12
        • Dictionaries Exercise #13
        • Dictionaries Exercise #14
        • Dictionaries Exercise #15
        • Dictionaries Exercise #16
        • Dictionaries Exercise #17
        • Dictionaries Exercise #18
        • Dictionaries Exercise #19
        • Dictionaries Exercise #20
        • Dictionaries Exercise #21
        • Dictionaries Exercise #22
        • Dictionaries Exercise #23
        • Dictionaries Exercise #24
        • Dictionaries Exercise #25
        • Dictionaries Exercise #26
        • Dictionaries Exercise #27
        • Dictionaries Exercise #28
        • Dictionaries Exercise #29
        • Dictionaries Exercise #30
        • Dictionaries Exercise #31
        • Dictionaries Exercise #32
        • Dictionaries Exercise #33
        • Dictionaries Exercise #34
        • Dictionaries Exercise #35
        • Dictionaries Exercise #36
        • Dictionaries Exercise #37
        • Dictionaries Exercise #38
        • Dictionaries Exercise #39
        • Dictionaries Exercise #40
        • Functions Exercise #1
        • Functions Exercise #2
        • Functions Exercise #3
        • Functions Exercise #4
        • Functions Exercise #5
        • Functions Exercise #6
        • Functions Exercise #7
        • Functions Exercise #8
        • Functions Exercise #9
        • Functions Exercise #10
        • Functions Exercise #11
        • Functions Exercise #12
        • Functions Exercise #13
        • Functions Exercise #14
        • Functions Exercise #15
        • Functions Exercise #16
        • Functions Exercise #17
        • Functions Exercise #18
        • Functions Exercise #19
        • Functions Exercise #20
        • Functions Exercise #21
        • Functions Exercise #22
        • Functions Exercise #23
        • Functions Exercise #24
        • Functions Exercise #25
        • Functions Exercise #26
        • Functions Exercise #27
        • Functions Exercise #28
        • Functions Exercise #29
        • Functions Exercise #30
        • Functions Exercise #31
        • Functions Exercise #32
        • Functions Exercise #33
        • Functions Exercise #34
        • Functions Exercise #35
        • Functions Exercise #36
        • Functions Exercise #37
        • Functions Exercise #38
        • Functions Exercise #39
        • Functions Exercise #40
        • OOP Exercise #1
        • OOP Exercise #2
        • OOP Exercise #3
        • OOP Exercise #4
        • OOP Exercise #5
        • OOP Exercise #6
        • OOP Exercise #7
        • OOP Exercise #8
        • OOP Exercise #9
        • OOP Exercise #10
        • OOP Exercise #11
        • OOP Exercise #12
        • OOP Exercise #13
        • OOP Exercise #14
        • OOP Exercise #15
        • OOP Exercise #16
        • OOP Exercise #17
        • OOP Exercise #18
        • OOP Exercise #19
        • OOP Exercise #20
        • OOP Exercise #21
        • OOP Exercise #22
        • OOP Exercise #23
        • OOP Exercise #24
        • OOP Exercise #25
        • OOP Exercise #26
        • OOP Exercise #27
        • OOP Exercise #28
        • OOP Exercise #29
        • OOP Exercise #30
        • OOP Exercise #31
        • OOP Exercise #32
        • OOP Exercise #33
        • OOP Exercise #34
        • OOP Exercise #35
        • OOP Exercise #36
        • OOP Exercise #37
        • OOP Exercise #38
        • OOP Exercise #39
        • OOP Exercise #40
        • Files & JSON Exercise #1
        • Files & JSON Exercise #2
        • Files & JSON Exercise #3
        • Files & JSON Exercise #4
        • Files & JSON Exercise #5
        • Files & JSON Exercise #6
        • Files & JSON Exercise #7
        • Files & JSON Exercise #8
        • Files & JSON Exercise #9
        • Files & JSON Exercise #10
        • Files & JSON Exercise #11
        • Files & JSON Exercise #12
        • Files & JSON Exercise #13
        • Files & JSON Exercise #14
        • Files & JSON Exercise #15
        • Files & JSON Exercise #16
        • Files & JSON Exercise #17
        • Files & JSON Exercise #18
        • Files & JSON Exercise #19
        • Files & JSON Exercise #20
        • Files & JSON Exercise #21
        • Files & JSON Exercise #22
        • Files & JSON Exercise #23
        • Files & JSON Exercise #24
        • Files & JSON Exercise #25
        • Files & JSON Exercise #26
        • Files & JSON Exercise #27
        • Files & JSON Exercise #28
        • Files & JSON Exercise #29
        • Files & JSON Exercise #30
        • Regular Expressions Exercise #1
        • Regular Expressions Exercise #2
        • Regular Expressions Exercise #3
        • Regular Expressions Exercise #4
        • Regular Expressions Exercise #5
        • Regular Expressions Exercise #6
        • Regular Expressions Exercise #7
        • Regular Expressions Exercise #8
        • Regular Expressions Exercise #9
        • Regular Expressions Exercise #10
        • Regular Expressions Exercise #11
        • Regular Expressions Exercise #12
        • Regular Expressions Exercise #13
        • Regular Expressions Exercise #14
        • Regular Expressions Exercise #15
        • Regular Expressions Exercise #16
        • Regular Expressions Exercise #17
        • Regular Expressions Exercise #18
        • Regular Expressions Exercise #19
        • Regular Expressions Exercise #20
        • Regular Expressions Exercise #21
        • Regular Expressions Exercise #22
        • Regular Expressions Exercise #23
        • Regular Expressions Exercise #24
        • Regular Expressions Exercise #25
        • Regular Expressions Exercise #26
        • Regular Expressions Exercise #27
        • Regular Expressions Exercise #28
        • Regular Expressions Exercise #29
        • Regular Expressions Exercise #30
        • Datetime Exercise #1
        • Datetime Exercise #2
        • Datetime Exercise #3
        • Datetime Exercise #4
        • Datetime Exercise #5
        • Datetime Exercise #6
        • Datetime Exercise #7
        • Datetime Exercise #8
        • Datetime Exercise #9
        • Datetime Exercise #10
        • Datetime Exercise #11
        • Datetime Exercise #12
        • Datetime Exercise #13
        • Datetime Exercise #14
        • Datetime Exercise #15
        • Datetime Exercise #16
        • Datetime Exercise #17
        • Datetime Exercise #18
        • Datetime Exercise #19
        • Datetime Exercise #20
        • Datetime Exercise #21
        • Datetime Exercise #22
        • Datetime Exercise #23
        • Datetime Exercise #24
        • Datetime Exercise #25
        • Datetime Exercise #26
        • Datetime Exercise #27
        • Datetime Exercise #28
        • Datetime Exercise #29
        • Datetime Exercise #30
        • Algorithms Exercise #1
        • Algorithms Exercise #2
        • Algorithms Exercise #3
        • Algorithms Exercise #4
        • Algorithms Exercise #5
        • Algorithms Exercise #6
        • Algorithms Exercise #7
        • Algorithms Exercise #8
        • Algorithms Exercise #9
        • Algorithms Exercise #10
        • Algorithms Exercise #11
        • Algorithms Exercise #12
        • Algorithms Exercise #13
        • Algorithms Exercise #14
        • Algorithms Exercise #15
        • Algorithms Exercise #16
        • Algorithms Exercise #17
        • Algorithms Exercise #18
        • Algorithms Exercise #19
        • Algorithms Exercise #20
        • Algorithms Exercise #21
        • Algorithms Exercise #22
        • Algorithms Exercise #23
        • Algorithms Exercise #24
        • Algorithms Exercise #25
        • Algorithms Exercise #26
        • Algorithms Exercise #27
        • Algorithms Exercise #28
        • Algorithms Exercise #29
        • Algorithms Exercise #30
        • Pandas Exercise #1
        • Pandas Exercise #2
        • Pandas Exercise #3
        • Pandas Exercise #4
        • Pandas Exercise #5
        • Pandas Exercise #6
        • Pandas Exercise #7
        • Pandas Exercise #8
        • Pandas Exercise #9
        • Pandas Exercise #10
        • Pandas Exercise #11
        • Pandas Exercise #12
        • Pandas Exercise #13
        • Pandas Exercise #14
        • Pandas Exercise #15
        • Pandas Exercise #16
        • Pandas Exercise #17
        • Pandas Exercise #18
        • Pandas Exercise #19
        • Pandas Exercise #20
        • Pandas Exercise #21
        • Pandas Exercise #22
        • Pandas Exercise #23
        • Pandas Exercise #24
        • Pandas Exercise #25
        • Pandas Exercise #26
        • Pandas Exercise #27
        • Pandas Exercise #28
        • Pandas Exercise #29
        • Pandas Exercise #30
    • Quiz: Python Basics
    • Quiz: Control Flow
    • Quiz: Object-Oriented Programming
    • Quiz: Intermediate Python
    • Quiz: Web Development
    • Quiz: Machine Learning
    • Quiz: Functions & Modules
    • Quiz: Expert Python
    • Python Cheat Sheet
    • Standard Library Quick Reference
    • Common Python Errors
    • SyntaxError: invalid syntax
    • IndentationError: unexpected indent
    • NameError: name 'x' is not defined
    • TypeError: unsupported operand type
    • ValueError: invalid literal
    • KeyError: key not found
    • IndexError: list index out of range
    • AttributeError: object has no attribute
    • ImportError: cannot import name
    • ModuleNotFoundError: No module named
    • FileNotFoundError: No such file or directory
    • PermissionError: Permission denied
    • ZeroDivisionError: division by zero
    • RecursionError: maximum recursion depth
    • MemoryError: out of memory
    • SyntaxError: invalid syntax (variant 2)
    • IndentationError: unexpected indent (variant 2)
    • NameError: name 'x' is not defined (variant 2)
    • TypeError: unsupported operand type (variant 2)
    • ValueError: invalid literal (variant 2)
    • KeyError: key not found (variant 2)
    • IndexError: list index out of range (variant 2)
    • AttributeError: object has no attribute (variant 2)
    • ImportError: cannot import name (variant 2)
    • ModuleNotFoundError: No module named (variant 2)
    • FileNotFoundError: No such file or directory (variant 2)
    • PermissionError: Permission denied (variant 2)
    • ZeroDivisionError: division by zero (variant 2)
    • RecursionError: maximum recursion depth (variant 2)
    • MemoryError: out of memory (variant 2)
    • SyntaxError: invalid syntax (variant 3)
    • IndentationError: unexpected indent (variant 3)
    • NameError: name 'x' is not defined (variant 3)
    • TypeError: unsupported operand type (variant 3)
    • ValueError: invalid literal (variant 3)
    • KeyError: key not found (variant 3)
    • IndexError: list index out of range (variant 3)
    • AttributeError: object has no attribute (variant 3)
    • ImportError: cannot import name (variant 3)
    • ModuleNotFoundError: No module named (variant 3)
    • FileNotFoundError: No such file or directory (variant 3)
    • PermissionError: Permission denied (variant 3)
    • ZeroDivisionError: division by zero (variant 3)
    • RecursionError: maximum recursion depth (variant 3)
    • MemoryError: out of memory (variant 3)
    • SyntaxError: invalid syntax (variant 4)
    • IndentationError: unexpected indent (variant 4)
    • NameError: name 'x' is not defined (variant 4)
    • TypeError: unsupported operand type (variant 4)
    • ValueError: invalid literal (variant 4)
    • KeyError: key not found (variant 4)
    • IndexError: list index out of range (variant 4)
    • AttributeError: object has no attribute (variant 4)
    • ImportError: cannot import name (variant 4)
    • ModuleNotFoundError: No module named (variant 4)
    • FileNotFoundError: No such file or directory (variant 4)
    • PermissionError: Permission denied (variant 4)
    • ZeroDivisionError: division by zero (variant 4)
    • RecursionError: maximum recursion depth (variant 4)
    • MemoryError: out of memory (variant 4)
    • SyntaxError: invalid syntax (variant 5)
    • IndentationError: unexpected indent (variant 5)
    • NameError: name 'x' is not defined (variant 5)
    • TypeError: unsupported operand type (variant 5)
    • ValueError: invalid literal (variant 5)
    • KeyError: key not found (variant 5)
    • IndexError: list index out of range (variant 5)
    • AttributeError: object has no attribute (variant 5)
    • ImportError: cannot import name (variant 5)
    • ModuleNotFoundError: No module named (variant 5)
    • FileNotFoundError: No such file or directory (variant 5)
    • PermissionError: Permission denied (variant 5)
    • ZeroDivisionError: division by zero (variant 5)
    • RecursionError: maximum recursion depth (variant 5)
    • MemoryError: out of memory (variant 5)
    • SyntaxError: invalid syntax (variant 6)
    • IndentationError: unexpected indent (variant 6)
    • NameError: name 'x' is not defined (variant 6)
    • TypeError: unsupported operand type (variant 6)
    • ValueError: invalid literal (variant 6)
    • KeyError: key not found (variant 6)
    • IndexError: list index out of range (variant 6)
    • AttributeError: object has no attribute (variant 6)
    • ImportError: cannot import name (variant 6)
    • ModuleNotFoundError: No module named (variant 6)
    • FileNotFoundError: No such file or directory (variant 6)
    • PermissionError: Permission denied (variant 6)
    • ZeroDivisionError: division by zero (variant 6)
    • RecursionError: maximum recursion depth (variant 6)
    • MemoryError: out of memory (variant 6)
    • SyntaxError: invalid syntax (variant 7)
    • IndentationError: unexpected indent (variant 7)
    • NameError: name 'x' is not defined (variant 7)
    • TypeError: unsupported operand type (variant 7)
    • ValueError: invalid literal (variant 7)
    • KeyError: key not found (variant 7)
    • IndexError: list index out of range (variant 7)
    • AttributeError: object has no attribute (variant 7)
    • ImportError: cannot import name (variant 7)
    • ModuleNotFoundError: No module named (variant 7)
    • FileNotFoundError: No such file or directory (variant 7)
    • PermissionError: Permission denied (variant 7)
    • ZeroDivisionError: division by zero (variant 7)
    • RecursionError: maximum recursion depth (variant 7)
    • MemoryError: out of memory (variant 7)
    • SyntaxError: invalid syntax (variant 8)
    • IndentationError: unexpected indent (variant 8)
    • NameError: name 'x' is not defined (variant 8)
    • TypeError: unsupported operand type (variant 8)
    • ValueError: invalid literal (variant 8)
    • KeyError: key not found (variant 8)
    • IndexError: list index out of range (variant 8)
    • AttributeError: object has no attribute (variant 8)
    • ImportError: cannot import name (variant 8)
    • ModuleNotFoundError: No module named (variant 8)
    • FileNotFoundError: No such file or directory (variant 8)
    • PermissionError: Permission denied (variant 8)
    • ZeroDivisionError: division by zero (variant 8)
    • RecursionError: maximum recursion depth (variant 8)
    • MemoryError: out of memory (variant 8)
    • SyntaxError: invalid syntax (variant 9)
    • IndentationError: unexpected indent (variant 9)
    • NameError: name 'x' is not defined (variant 9)
    • TypeError: unsupported operand type (variant 9)
    • ValueError: invalid literal (variant 9)
    • KeyError: key not found (variant 9)
    • IndexError: list index out of range (variant 9)
    • AttributeError: object has no attribute (variant 9)
    • ImportError: cannot import name (variant 9)
    • ModuleNotFoundError: No module named (variant 9)
    • FileNotFoundError: No such file or directory (variant 9)
    • PermissionError: Permission denied (variant 9)
    • ZeroDivisionError: division by zero (variant 9)
    • RecursionError: maximum recursion depth (variant 9)
    • MemoryError: out of memory (variant 9)
    • SyntaxError: invalid syntax (variant 10)
    • IndentationError: unexpected indent (variant 10)
    • NameError: name 'x' is not defined (variant 10)
    • TypeError: unsupported operand type (variant 10)
    • ValueError: invalid literal (variant 10)
    • KeyError: key not found (variant 10)
    • IndexError: list index out of range (variant 10)
    • AttributeError: object has no attribute (variant 10)
    • ImportError: cannot import name (variant 10)
    • ModuleNotFoundError: No module named (variant 10)
    • FileNotFoundError: No such file or directory (variant 10)
    • PermissionError: Permission denied (variant 10)
    • ZeroDivisionError: division by zero (variant 10)
    • RecursionError: maximum recursion depth (variant 10)
    • MemoryError: out of memory (variant 10)
    • Interview: Coding Patterns
    • Interview: Python Fundamentals
    • Interview: System Design Basics
    • Interview: Web & Backend
    • Interview: Data Science & ML
      • Interview Q&A #1
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    • Read JSON File
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    • Tip #1: Use f-strings for readable string formatting
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    • Tip #4: Use 'is None' not '== None'
    • Tip #5: Unpack with * and _ for unused values
    • Tip #6: Use enumerate instead of range(len())
    • Tip #7: Use zip to iterate multiple lists together
    • Tip #8: Use any/all for boolean checks on iterables
    • Tip #9: Use context managers for files and connections
    • Tip #10: Use lru_cache for expensive pure functions
    • Tip #11: Use dataclasses instead of boilerplate classes
    • Tip #12: Use typing for public function signatures
    • Tip #13: Use pytest over unittest for new projects
    • Tip #14: Use black or ruff format for consistent style
    • Tip #15: Use venv for every project
    • Tip #16: Pin dependencies in production
    • Tip #17: Use logging not print in production code
    • Tip #18: Handle exceptions at the right level
    • Tip #19: Use list comprehensions for simple transforms
    • Tip #20: Use generators for large datasets
    • Tip #21: Use f-strings for readable string formatting
    • Tip #22: Prefer pathlib over os.path for file paths
    • Tip #23: Never use mutable default arguments
    • Tip #24: Use 'is None' not '== None'
    • Tip #25: Unpack with * and _ for unused values
    • Tip #26: Use enumerate instead of range(len())
    • Tip #27: Use zip to iterate multiple lists together
    • Tip #28: Use any/all for boolean checks on iterables
    • Tip #29: Use context managers for files and connections
    • Tip #30: Use lru_cache for expensive pure functions
    • Tip #31: Use dataclasses instead of boilerplate classes
    • Tip #32: Use typing for public function signatures
    • Tip #33: Use pytest over unittest for new projects
    • Tip #34: Use black or ruff format for consistent style
    • Tip #35: Use venv for every project
    • Tip #36: Pin dependencies in production
    • Tip #37: Use logging not print in production code
    • Tip #38: Handle exceptions at the right level
    • Tip #39: Use list comprehensions for simple transforms
    • Tip #40: Use generators for large datasets
    • Tip #41: Use f-strings for readable string formatting
    • Tip #42: Prefer pathlib over os.path for file paths
    • Tip #43: Never use mutable default arguments
    • Tip #44: Use 'is None' not '== None'
    • Tip #45: Unpack with * and _ for unused values
    • Tip #46: Use enumerate instead of range(len())
    • Tip #47: Use zip to iterate multiple lists together
    • Tip #48: Use any/all for boolean checks on iterables
    • Tip #49: Use context managers for files and connections
    • Tip #50: Use lru_cache for expensive pure functions
    • Tip #51: Use dataclasses instead of boilerplate classes
    • Tip #52: Use typing for public function signatures
    • Tip #53: Use pytest over unittest for new projects
    • Tip #54: Use black or ruff format for consistent style
    • Tip #55: Use venv for every project
    • Tip #56: Pin dependencies in production
    • Tip #57: Use logging not print in production code
    • Tip #58: Handle exceptions at the right level
    • Tip #59: Use list comprehensions for simple transforms
    • Tip #60: Use generators for large datasets
    • Tip #61: Use f-strings for readable string formatting
    • Tip #62: Prefer pathlib over os.path for file paths
    • Tip #63: Never use mutable default arguments
    • Tip #64: Use 'is None' not '== None'
    • Tip #65: Unpack with * and _ for unused values
    • Tip #66: Use enumerate instead of range(len())
    • Tip #67: Use zip to iterate multiple lists together
    • Tip #68: Use any/all for boolean checks on iterables
    • Tip #69: Use context managers for files and connections
    • Tip #70: Use lru_cache for expensive pure functions
    • Tip #71: Use dataclasses instead of boilerplate classes
    • Tip #72: Use typing for public function signatures
    • Tip #73: Use pytest over unittest for new projects
    • Tip #74: Use black or ruff format for consistent style
    • Tip #75: Use venv for every project
    • Tip #76: Pin dependencies in production
    • Tip #77: Use logging not print in production code
    • Tip #78: Handle exceptions at the right level
    • Tip #79: Use list comprehensions for simple transforms
    • Tip #80: Use generators for large datasets
    • Tip #81: Use f-strings for readable string formatting
    • Tip #82: Prefer pathlib over os.path for file paths
    • Tip #83: Never use mutable default arguments
    • Tip #84: Use 'is None' not '== None'
    • Tip #85: Unpack with * and _ for unused values
    • Tip #86: Use enumerate instead of range(len())
    • Tip #87: Use zip to iterate multiple lists together
    • Tip #88: Use any/all for boolean checks on iterables
    • Tip #89: Use context managers for files and connections
    • Tip #90: Use lru_cache for expensive pure functions
    • Tip #91: Use dataclasses instead of boilerplate classes
    • Tip #92: Use typing for public function signatures
    • Tip #93: Use pytest over unittest for new projects
    • Tip #94: Use black or ruff format for consistent style
    • Tip #95: Use venv for every project
    • Tip #96: Pin dependencies in production
    • Tip #97: Use logging not print in production code
    • Tip #98: Handle exceptions at the right level
    • Tip #99: Use list comprehensions for simple transforms
    • Tip #100: Use generators for large datasets
    • Tip #101: Use f-strings for readable string formatting
    • Tip #102: Prefer pathlib over os.path for file paths
    • Tip #103: Never use mutable default arguments
    • Tip #104: Use 'is None' not '== None'
    • Tip #105: Unpack with * and _ for unused values
    • Tip #106: Use enumerate instead of range(len())
    • Tip #107: Use zip to iterate multiple lists together
    • Tip #108: Use any/all for boolean checks on iterables
    • Tip #109: Use context managers for files and connections
    • Tip #110: Use lru_cache for expensive pure functions
    • Tip #111: Use dataclasses instead of boilerplate classes
    • Tip #112: Use typing for public function signatures
    • Tip #113: Use pytest over unittest for new projects
    • Tip #114: Use black or ruff format for consistent style
    • Tip #115: Use venv for every project
    • Tip #116: Pin dependencies in production
    • Tip #117: Use logging not print in production code
    • Tip #118: Handle exceptions at the right level
    • Tip #119: Use list comprehensions for simple transforms
    • Tip #120: Use generators for large datasets
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    • Exercise Bank: Pandas
    On this page
    fitness_center

    Exercise Bank: Pandas

    30 pandas exercises.

    article

    Pandas Exercise #1

    Practice pandas — exercise 1 of 30.
    article

    Pandas Exercise #2

    Practice pandas — exercise 2 of 30.
    article

    Pandas Exercise #3

    Practice pandas — exercise 3 of 30.
    article

    Pandas Exercise #4

    Practice pandas — exercise 4 of 30.
    article

    Pandas Exercise #5

    Practice pandas — exercise 5 of 30.
    article

    Pandas Exercise #6

    Practice pandas — exercise 6 of 30.
    article

    Pandas Exercise #7

    Practice pandas — exercise 7 of 30.
    article

    Pandas Exercise #8

    Practice pandas — exercise 8 of 30.
    article

    Pandas Exercise #9

    Practice pandas — exercise 9 of 30.
    article

    Pandas Exercise #10

    Practice pandas — exercise 10 of 30.
    article

    Pandas Exercise #11

    Practice pandas — exercise 11 of 30.
    article

    Pandas Exercise #12

    Practice pandas — exercise 12 of 30.
    article

    Pandas Exercise #13

    Practice pandas — exercise 13 of 30.
    article

    Pandas Exercise #14

    Practice pandas — exercise 14 of 30.
    article

    Pandas Exercise #15

    Practice pandas — exercise 15 of 30.
    article

    Pandas Exercise #16

    Practice pandas — exercise 16 of 30.
    article

    Pandas Exercise #17

    Practice pandas — exercise 17 of 30.
    article

    Pandas Exercise #18

    Practice pandas — exercise 18 of 30.
    article

    Pandas Exercise #19

    Practice pandas — exercise 19 of 30.
    article

    Pandas Exercise #20

    Practice pandas — exercise 20 of 30.
    article

    Pandas Exercise #21

    Practice pandas — exercise 21 of 30.
    article

    Pandas Exercise #22

    Practice pandas — exercise 22 of 30.
    article

    Pandas Exercise #23

    Practice pandas — exercise 23 of 30.
    article

    Pandas Exercise #24

    Practice pandas — exercise 24 of 30.
    article

    Pandas Exercise #25

    Practice pandas — exercise 25 of 30.
    article

    Pandas Exercise #26

    Practice pandas — exercise 26 of 30.
    article

    Pandas Exercise #27

    Practice pandas — exercise 27 of 30.
    article

    Pandas Exercise #28

    Practice pandas — exercise 28 of 30.
    article

    Pandas Exercise #29

    Practice pandas — exercise 29 of 30.
    article

    Pandas Exercise #30

    Practice pandas — exercise 30 of 30.

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