Python 3: From None to Machine Learning

Title

Python 3: from None to Machine Learning

Author

Matt Harasymczuk

Language

English

ISBN

978-83-957186-2-5

Year

2015-2022

Online Access

https://python.astrotech.io

License

Creative Commons Attribution-ShareAlike 4.0 International License

Author

author	Matt Harasymczuk
email	matt@astrotech.io
www	https://www.astronaut.center
github	https://github.com/astromatt
linkedin	https://linkedin.com/in/mattharasymczuk
facebook	https://facebook.com/matt.harasymczuk
slideshare	https://www.slideshare.net/astrotech/presentations

Table 1. Other Books from Author. Learn more at https://www.astronaut.center/books

ISBN	Online Access	Title
978-83-957186-2-5	https://python.astrotech.io	Python 3: from None to Machine Learning
978-83-957186-3-2	https://dev.astrotech.io	The Software Engineering: DevOps, CI/CD, Docker, Provisioning and Git Flow
978-83-957186-0-1	https://www.astronaut.pl	Astronaut Selection and Training for Long Duration Spaceflight and Extraterrestrial Activity
978-83-956752-0-1	https://www.astronaut.center/books	Space in Practice: How to Prepare and Conduct Stratospheric Balloon Mission
978-83-957186-4-9	https://pl.habitatos.space	HabitatOS - Development of operating system prototype for Lunar and Martian habitats
978-83-957186-1-8	https://alsep.astronaut.center	Geophysics experiments from Apollo Lunar Surface Experiments Package

Big Picture

Note

• For consulting or training course requests please email matt@astrotech.io

• Before training course please setup your environment

• More information in Install

About

• License
• Python Versions

Agenda

Agenda

• 1. Agenda
  • 1.1. Python: Basics
  • 1.2. Python: Intermediate (level 1)
  • 1.3. Python: Intermediate (level 2)
  • 1.4. Python: Advanced
  • 1.5. Python: Design Patterns
  • 1.6. Python: Test Driven Development
  • 1.7. Python: DevOps, CI/CD
  • 1.8. Python: Performance Optimization
  • 1.9. Python: Data Science and Analysis
  • 1.10. Python: Numpy
  • 1.11. Python: Pandas
  • 1.12. Python: Microservices
  • 1.13. Python: Django
  • 1.14. Python: FastAPI
  • 1.15. Python: Flask
  • 1.16. Python: Graphical User Interface

Agenda

Agenda

• 1.1. Python: Basics
• 1.2. Python: Intermediate (level 1)
• 1.3. Python: Intermediate (level 2)
• 1.4. Python: Advanced
• 1.5. Python: Design Patterns
• 1.6. Python: Test Driven Development
• 1.7. Python: DevOps, CI/CD
• 1.8. Python: Performance Optimization
• 1.9. Python: Data Science and Analysis
• 1.10. Python: Numpy
• 1.11. Python: Pandas
• 1.12. Python: Microservices
• 1.13. Python: Django
• 1.14. Python: FastAPI
• 1.15. Python: Flask
• 1.16. Python: Graphical User Interface

Install

Install

• 1. Install
  • 1.1. Wymagania szkolenia
  • 1.2. Wymagania dodatkowe dla szkoleń Data Science
  • 1.3. Wymagania dodatkowe dla szkoleń Machine Learning
  • 1.4. Czy można korzystać z pakietu Anaconda?
  • 1.5. Czy można korzystać ze swojego komputera?
  • 1.6. Czy szkolenie zacznie lub skończy się wcześniej?
  • 1.7. Czy szkolenie będzie nagrywane?
  • 1.8. Jaka jest wymagana dostępność?
  • 1.9. Jak będzie wyglądało monitorowanie postępu?
  • 1.10. Jakie środowisko programistyczne?
  • 1.11. Czy mogę korzystać z innego IDE niż PyCharm?
  • 1.12. Czy dostanę materiały do szkolenia?
  • 1.13. Jaką jakość mają materiały?
  • 1.14. Czy będą zadania praktyczne?
  • 1.15. Czy konieczne jest konto na Github?
• 2. Install Python
  • 2.1. Install on macOS
  • 2.2. Install on Linux
  • 2.3. Install on Windows
  • 2.4. Figures
• 3. Install Git
  • 3.1. Polish
  • 3.2. Figures
• 4. Install Github
  • 4.1. Polish
  • 4.2. Figures
  • 4.3. References
• 5. Install IDE
  • 5.1. Polish
  • 5.2. Figures
  • 5.3. References
• 6. Install Project
  • 6.1. Polish
  • 6.2. Figures
  • 6.3. References
• 7. Install Doctest
  • 7.1. Polish
  • 7.2. Figure

Python Basics

Python Basics

• 1. About
  • 1.1. Agenda
  • 1.2. Development Environment
  • 1.3. Python Language
• 2. Syntax
  • 2.1. Syntax Assignment
  • 2.2. Syntax Print
  • 2.3. Syntax Comments
  • 2.4. Syntax Indentation
  • 2.5. Syntax Style Guide
  • 2.6. Syntax Comparison
  • 2.7. Syntax Arithmetic
  • 2.8. Syntax Increment Operators
• 3. Types
  • 3.1. Numeric Int
  • 3.2. Numeric Float
  • 3.3. Logic Bool
  • 3.4. Logic None
  • 3.5. String Define
  • 3.6. String Literals
  • 3.7. String Input
  • 3.8. String Immutable
  • 3.9. String Methods
  • 3.10. String Normalization
• 4. Sequences
  • 4.1. Sequence Tuple
  • 4.2. Sequence List
  • 4.3. Sequence Set
  • 4.4. Sequence Comparison
  • 4.5. Sequence Nested
  • 4.6. Unpack GetItem
  • 4.7. Unpack Slice
  • 4.8. Unpack Assignment
  • 4.9. Unpack Star
• 5. Mappings
  • 5.1. Mapping About
  • 5.2. Mapping Define
  • 5.3. Mapping Keys
  • 5.4. Mapping Values
  • 5.5. Mapping Items
  • 5.6. Mapping Nested
  • 5.7. Mapping Getitem
  • 5.8. Mapping Switch
  • 5.9. Mapping SetItem
  • 5.10. Mapping DelItem
  • 5.11. Mapping Merge
  • 5.12. Mapping Generate
• 6. Conditional
  • 6.1. Block If
  • 6.2. Block Else
  • 6.3. Block Elif
  • 6.4. Boolean Expression
  • 6.5. Boolean Logic
  • 6.6. Boolean Conjunction
  • 6.7. Boolean Disjunction
  • 6.8. Boolean Algebra
  • 6.9. Boolean Negation
  • 6.10. Boolean Empty
  • 6.11. Boolean Identity
  • 6.12. Boolean Operator
  • 6.13. Boolean Membership
• 7. Exception
  • 7.1. Exception Raise
  • 7.2. Exception Commonly Raised
  • 7.3. Exception Catching
  • 7.4. Exception Hierarchy
  • 7.5. Exception Assertion
  • 7.6. Exception Traceback
  • 7.7. Exception Define
  • 7.8. Exit Status Code
• 8. Loops
  • 8.1. Loop While About
  • 8.2. Loop While Patterns
  • 8.3. Loop While Break
  • 8.4. Loop While Continue
  • 8.5. Loop For About
  • 8.6. Loop For Nested
  • 8.7. Loop For Unpacking
  • 8.8. Loop For Generator
  • 8.9. Loop For Dict
• 9. Comprehensions
  • 9.1. Comprehension About
  • 9.2. Comprehension List
  • 9.3. Comprehension Set
  • 9.4. Comprehension Dict
  • 9.5. Comprehension Tuple
  • 9.6. Comprehension Map
  • 9.7. Comprehension Filter
  • 9.8. Generator Expression
  • 9.9. Comprehension Nested
  • 9.10. Comprehension All, Any
  • 9.11. Comprehension Conditionals
  • 9.12. Comprehension Performance
• 10. Files
  • 10.1. File Path Relative
  • 10.2. File Path Absolute
  • 10.3. File Path Errors
  • 10.4. File Path Modify
  • 10.5. File Modes
  • 10.6. File Write
  • 10.7. File Append
  • 10.8. File Read
  • 10.9. File Encoding
  • 10.10. Files Binary
• 11. Functions
  • 11.1. Function Definition
  • 11.2. Function Return
  • 11.3. Function Parameters
  • 11.4. Function Arguments
  • 11.5. Function Scope
  • 11.6. Function Generator-Like
• 12. Object Oriented Programming
  • 12.1. OOP Class Define
  • 12.2. OOP Class Instance
  • 12.3. OOP Attribute About
  • 12.4. OOP Attribute Define
  • 12.5. OOP Attribute Set
  • 12.6. OOP Attribute Get
  • 12.7. OOP Init Define
  • 12.8. OOP Init Setattr
  • 12.9. OOP Init Validation
  • 12.10. OOP Method About
  • 12.11. OOP Method Parameters
  • 12.12. OOP Method Arguments
  • 12.13. OOP Methods and Attributes
  • 12.14. OOP Methods and Methods
  • 12.15. OOP Stringify About
  • 12.16. OOP Stringify Str
  • 12.17. OOP Stringify Repr
  • 12.18. OOP Inheritance About
  • 12.19. OOP Inheritance Inherit
  • 12.20. OOP Inheritance Overload
  • 12.21. OOP Inheritance Super
  • 12.22. OOP Inheritance Patterns
  • 12.23. OOP Architecture Rationale
  • 12.24. OOP Architecture Class Diagram
• 13. Recap
  • 13.1. Good Practices
  • 13.2. Certificate
  • 10.1. Further reading

Python Intermediate

Python Intermediate

• 1. About
  • 1.1. Agenda
  • 1.2. Certificate
  • 1.3. Entry Test
• 2. Unpack
  • 2.1. Unpack Assignment
  • 2.2. Unpack Star
  • 2.3. Unpack Parameters
  • 2.4. Unpack Arguments
• 3. Enum
  • 3.1. Enum About
  • 3.2. Enum IntEnum
  • 3.3. Enum StrEnum
  • 3.4. Enum Auto
  • 3.5. Enum StrEnum
  • 3.6. Enum Check
  • 3.7. Enum Built-in
  • 3.8. Enum Use Cases
• 4. Match
  • 4.1. Match About
  • 4.2. Match Pattern Literal
  • 4.3. Match Pattern OR
  • 4.4. Match Pattern Wildcard
  • 4.5. Match Pattern Capture
  • 4.6. Match Pattern Constant
  • 4.7. Match Pattern Sequence
  • 4.8. Match Pattern Mapping
  • 4.9. Match Pattern Class
  • 4.10. Match Pattern Walrus
  • 4.11. Match Guard
  • 4.12. Match Subpatterns
• 5. Type Annotation
  • 5.1. Type Annotation Basics
  • 5.2. Type Annotation Primitives
  • 5.3. Type Annotation Sequences
  • 5.4. Type Annotation Mapping
  • 5.5. Type Annotation Sequences
  • 5.6. Type Annotation TypedDict
  • 5.7. Type Annotation NamedTuple
  • 5.8. Type Annotation Callable
  • 5.9. Type Annotation Types
  • 5.10. Type Annotation Extra
  • 5.11. Type Annotation Deprecated
  • 5.12. Type Annotation Check
  • 5.13. Type Annotation Annotate
  • 5.14. Type Annotation Cython
  • 5.15. Type Annotation Mypyc
• 6. Dataclass
  • 6.1. Dataclass About
  • 6.2. Dataclass Define Basic
  • 6.3. Dataclass Define Special
  • 6.4. Dataclass Define Nested
  • 6.5. Dataclass Mechanism
  • 6.6. Dataclass Postinit
  • 6.7. Dataclass Mutable Attrs
  • 6.8. Dataclass Field
  • 6.9. Dataclass Metadata
  • 6.10. Dataclass Parameters
  • 6.11. Dataclass Helpers
  • 6.12. Dataclass Inheritance
  • 6.13. Dataclass Introspect
• 7. JSON
  • 7.1. JSON About
  • 7.2. JSON String
  • 7.3. JSON File
  • 7.4. JSON Encoder
  • 7.5. JSON Decoder
  • 7.6. JSON Object
• 8. CSV
  • 8.1. CSV About
  • 8.2. CSV Reader
  • 8.3. CSV Writer
  • 8.4. CSV DictReader
  • 8.5. CSV DictWriter
  • 8.6. CSV Non-Standard
• 9. Regular Expressions
  • 9.1. Syntax About
  • 9.2. Syntax Qualifier
  • 9.3. Syntax Anchor
  • 9.4. Syntax Negation
  • 9.5. Syntax Identifier
  • 9.6. Syntax Quantifier
  • 9.7. Syntax Group
  • 9.8. Syntax Flag
  • 9.9. Syntax Look Ahead/Behind
  • 9.10. Syntax Flavors
  • 9.11. Syntax Use Cases
  • 9.12. RE Match
  • 9.13. RE Search
  • 9.14. RE Findall, Finditer
  • 9.15. RE Compare
  • 9.16. RE Compile
  • 9.17. RE Group
  • 9.18. RE Multiline
  • 9.19. RE Substitute
  • 9.20. RE Split
  • 9.21. RE Lazy
  • 9.22. RE Type Annotation
  • 9.23. Regex Cheatsheet
• 10. Datetime and Timezones
  • 10.1. Datetime Create
  • 10.2. Datetime ISO Standard
  • 10.3. Datetime Standards
  • 10.4. Datetime Format
  • 10.5. Datetime Parse
  • 10.6. Datetime Time Deltas
  • 10.7. Datetime Timestamp
  • 10.8. Datetime Time Utils
  • 10.9. Datetime Timezone
• 11. Operator
  • 11.1. Operator String About
  • 11.2. Operator String Str
  • 11.3. Operator String Repr
  • 11.4. Operator String Format
  • 11.5. Operator String Operators
  • 11.6. Operator Arithmetic About
  • 11.7. Operator Left
  • 11.8. Operator Increment
  • 11.9. Operator Right
  • 11.10. Operator Comparison
  • 11.11. Operator Comparison
  • 11.12. Operator Contains
  • 11.13. Operator Boolean
  • 11.14. Operator Module
  • 11.15. Operator Builtin
  • 11.16. Operator Accessors
  • 11.17. Operator Numerical
• 12. Modules and Packages
  • 12.1. Modules Layout
  • 12.2. Module venv
  • 12.3. Module pip
  • 12.4. Modules pyproject.toml
• 13. Logging
  • 13.1. Logging About
  • 13.2. Logging Levels
  • 13.3. Logging Formatters
  • 13.4. Logging Config Basic
  • 13.5. Logging Handlers
  • 13.6. Logging Config File
  • 13.7. Logging Rotation
  • 13.8. Logging Optimization
  • 13.9. Logging Use Cases
• 14. Mathematics
  • 14.1. Math IEEE-754
  • 14.2. Math Random
• 15. Tests
  • 15.1. Tests Doctest
  • 15.2. Unit Testing

Python Advanced

Python Advanced

• 1. About
  • 1.1. Entry Test
  • 1.2. Agenda
• 2. Syntax
  • 2.1. Syntax Parameters
  • 2.2. Syntax Assignment Expression
• 3. Generators
  • 3.1. Generator About
  • 3.2. Generator Builtin
  • 3.3. Generator Expression
  • 3.4. Generator Function
  • 3.5. Generator Inspect
  • 3.6. Generator Yield From
  • 3.7. Generator Send
  • 3.8. Generator Itertools
• 4. Functional Programming
  • 4.1. FuncProg About
  • 4.2. FuncProg Scope
  • 4.3. FuncProg Pure Functions
  • 4.4. FuncProg Recurrence
  • 4.5. FuncProg Immutable
  • 4.6. FuncProg First-class Functions
  • 4.7. FuncProg Higher-Order
  • 4.8. FuncProg Referential Transparency
  • 4.9. FuncProg Namespace
  • 4.10. FuncProg Function Attributes
  • 4.11. FuncProg Functools
  • 4.12. FuncProg Callable
  • 4.13. Pattern Closure
  • 4.14. Pattern Callback
  • 4.15. FuncProg Lambda
  • 4.16. Pattern MapReduce
  • 4.17. Pattern Maybe
• 5. Decorators
  • 5.1. Decorator About
  • 5.2. Decorator Types
  • 5.3. Decorator Wrapper
  • 5.4. Decorator About Object
  • 5.5. Decorator About Arguments
  • 5.6. Decorate Function
  • 5.7. Decorate Stacked
  • 5.8. Decorate Method
  • 5.9. Decorate Class
  • 5.10. Decorator Function
  • 5.11. Decorator Method
  • 5.12. Decorator Class
  • 5.13. Decorator Arguments
  • 5.14. Decorator Stdlib Functools
  • 5.15. Decorator Recap
• 6. Object Oriented Programming
  • 6.1. OOP Attribute Mutable/Immutable
  • 6.2. OOP Attribute ClassVar
  • 6.3. OOP Attribute Access Modifiers
  • 6.4. OOP Attribute Slots
  • 6.5. OOP Method About
  • 6.6. OOP Method Access Modifiers
  • 6.7. OOP Method Staticmethod
  • 6.8. OOP Method Classmethod
  • 6.9. OOP Inheritance Patterns
  • 6.10. OOP Inheritance Problems
  • 6.11. OOP Inheritance Overload
  • 6.12. OOP Inheritance Super
  • 6.13. OOP Inheritance MRO
  • 6.14. OOP Abstract Interface
  • 6.15. OOP Abstract Class
  • 6.16. OOP Abstract Protocol
  • 6.17. OOP Abstract Polymorphism
  • 6.18. OOP Object Relations
  • 6.19. OOP Object Identity
  • 6.20. OOP Object Constructor
  • 6.21. OOP Class Factory
  • 6.22. OOP Class Metaclass
• 7. Protocols
  • 7.1. Protocol About
  • 7.2. Protocol Iterator
  • 7.3. Protocol Context Manager
  • 7.4. Protocol Property
  • 7.5. Protocol Reflection
  • 7.6. Protocol Descriptor
• 8. Performance
  • 8.1. Complexity
  • 8.2. Performance Optimization
  • 8.3. Micro-benchmarking
  • 8.4. Case Study: Memoize
  • 8.5. Case Study: Str Concat
  • 8.6. Case Study: Unique Keys
  • 8.7. Comprehension Performance
  • 8.8. Profiling
  • 8.9. Compilers and Interpreters
• 9. Concurrency
  • 9.1. About
  • 9.2. AsyncIO About
  • 9.3. AsyncIO Awaitable
  • 9.4. AsyncIO Coroutine
  • 9.5. AsyncIO Sleep
  • 9.6. AsyncIO Run
  • 9.7. AsyncIO Wait
  • 9.8. AsyncIO Wait For
  • 9.9. AsyncIO Task
  • 9.10. AsyncIO Future
  • 9.11. AsyncIO Shield
  • 9.12. AsyncIO Debug
  • 9.13. AsyncIO Event Loop
  • 9.14. AsyncIO Queue
  • 9.15. AsyncIO Stream
  • 9.16. AsyncIO Synchronization
  • 9.17. AsyncIO Iterator
  • 9.18. AsyncIO Iterator
  • 9.19. AsyncIO Comprehensions
  • 9.20. AsyncIO Context Manager
  • 9.21. AsyncIO 3rd Party
  • 9.22. Multiprocessing About
  • 9.23. Multiprocessing Server
  • 9.24. Multiprocessing Client
  • 9.25. Multiprocessing 3rd Party
  • 9.26. Threading About
  • 9.27. Threading Timer
  • 9.28. Threading Queues
  • 9.29. Threading Create
  • 9.30. Threading Synchronization
  • 9.31. Threading Join
  • 9.32. Threading Worker
• 10. Recap
  • 10.1. Further reading
  • 10.2. Recap
  • 10.3. Certificate

Database

Database

• 1. About
  • 1.1. Agenda
  • 1.2. Certificate
  • 1.3. Entry Test
• 2. Theory
  • 2.1. Theory About
  • 2.2. Theory UML ERD
  • 2.3. Theory Object-Relational Mapping
• 3. Normalization
  • 3.1. Normalization About
  • 3.2. 1st Normal Form
  • 3.3. 2nd Normal Form
  • 3.4. 3rd Normal Form
  • 3.5. 4th Normal Form
  • 3.6. 5th Normal Form
  • 3.7. 6th Normal Form
  • 3.8. Theory Relations
• 4. NoSQL
  • 4.1. NoSQL About
  • 4.2. NoSQL Key-Value
  • 4.3. NoSQL Document
  • 4.4. Database MongoDB
  • 4.5. NoSQL Time Series
  • 4.6. NoSQL Column-Oriented
  • 4.7. NoSQL Graph
  • 4.8. NoSQL Other
• 5. SQL
  • 5.1. SQL About
  • 5.2. SQL Data Types
  • 5.3. SQL Constraints
  • 5.4. SQL Table
  • 5.5. SQL Index
  • 5.6. SQL Insert
  • 5.7. SQL Update
  • 5.8. SQL Delete
  • 5.9. SQL Transaction
  • 5.10. SQL Select From
  • 5.11. SQL Select Limit
  • 5.12. SQL Select Order By
  • 5.13. SQL Select Where
  • 5.14. SQL Select Group By
  • 5.15. SQL Select Subquery
  • 5.16. SQL Select Distinct
  • 5.17. SQL Select Functions
  • 5.18. SQL Join
  • 5.19. SQL Injection
  • 5.20. SQL Use Cases
• 6. SQLite3
  • 6.1. SQLite3 About
  • 6.2. SQLite3 Connect
  • 6.3. SQLite3 Adapter/Converter
  • 6.4. SQLite3 Execute
  • 6.5. SQLite3 Insert Sequence
  • 6.6. SQLite3 Insert Mapping
  • 6.7. SQLite3 Insert Constraints
  • 6.8. SQLite3 Fetch
  • 6.9. SQLite3 Cursor
  • 6.10. SQLite3 Join
  • 6.11. SQLite3 Use Cases
• 7. SQLAlchemy
  • 7.1. SQLAlchemy About
  • 7.2. Connection DSN
  • 7.3. Connection Engine
  • 7.4. Connection Pool
  • 7.5. Core Model
  • 7.6. Core Operators
  • 7.7. Core Insert
  • 7.8. Core Select
  • 7.9. Core Result
  • 7.10. Core Update
  • 7.11. Core Delete
  • 7.12. Core Join
  • 7.13. Core Text
  • 7.14. Core Introspect
  • 7.15. ORM About
  • 7.16. Connection Session
  • 7.17. Model Base
  • 7.18. Model Define
  • 7.19. Model Column
  • 7.20. Model Types
  • 7.21. Model Indexes
  • 7.22. Model Relations
  • 7.23. Model Dataclass
  • 7.24. Schema Metadata
  • 7.25. Schema Reflection
  • 7.26. Migration About
  • 7.27. Migration Create
  • 7.28. Migration Apply
  • 7.29. Migration Rollback
  • 7.30. Query About
  • 7.31. Query Fetch
  • 7.32. Query Filter
  • 7.33. Query Limit
  • 7.34. Query Order By
  • 7.35. Query Group By
  • 7.36. Query Subquery
  • 7.37. Query Union
  • 7.38. Query Join
  • 7.39. Query Count
  • 7.40. Query Distinct
  • 7.41. Query Exists
  • 7.42. Query Update
  • 7.43. Query Delete
  • 7.44. Query Execute
  • 7.45. Query Debug
  • 7.46. Query Profile
  • 7.47. Func About
  • 7.48. Func Date
  • 7.49. Func Group
  • 7.50. Func Numeric
  • 7.51. Func Count
  • 7.52. Func Count
  • 7.53. SQLAlchemy Extensions
  • 7.54. Case Study
  • 7.55. SQLAlchemy Use Cases
• 8. Case Study
  • 8.1. Case Study ORM
  • 8.2. Case Study Relationship
  • 8.3. Case Study Auth

Design Patterns

Design Patterns

• 1. About
  • 1.1. Agenda
  • 1.2. Entry Test
  • 1.3. Introduction
• 2. UML
  • 2.1. UML About
  • 2.2. UML Mermaid
  • 2.3. UML PlantUML
  • 2.4. UML Relationship
  • 2.5. UML Class Diagram
  • 2.6. UML Sequence Diagram
• 3. Type Annotation
  • 3.1. Type Annotation Primitives
  • 3.2. Type Annotation Sequences
  • 3.3. Type Annotation Mapping
  • 3.4. Type Annotation Callable
  • 3.5. Type Annotation Types
  • 3.6. Type Annotation Extra
  • 3.7. Type Annotation Deprecated
  • 3.8. Type Annotation Validate
  • 3.9. Type Annotation Annotate
  • 3.10. Type Annotation Cython
  • 3.11. Type Annotation Mypyc
• 4. Dataclass
  • 4.1. Dataclass About
  • 4.2. Dataclass Define Basic
  • 4.3. Dataclass Define Special
  • 4.4. Dataclass Define Nested
  • 4.5. Dataclass Mechanism
  • 4.6. Dataclass Postinit
  • 4.7. Dataclass Mutable Attrs
  • 4.8. Dataclass Field
  • 4.9. Dataclass Metadata
  • 4.10. Dataclass Parameters
  • 4.11. Dataclass Helpers
  • 4.12. Dataclass Inheritance
  • 4.13. Dataclass Introspect
• 5. Object Oriented Programming
  • 5.1. OOP Attribute Mutable/Immutable
  • 5.2. OOP Attribute ClassVar
  • 5.3. OOP Attribute Access Modifiers
  • 5.4. OOP Method About
  • 5.5. OOP Method Access Modifiers
  • 5.6. OOP Method Staticmethod
  • 5.7. OOP Method Classmethod
  • 5.8. OOP Inheritance Patterns
  • 5.9. OOP Inheritance Problems
  • 5.10. OOP Inheritance Overload
  • 5.11. OOP Inheritance Super
  • 5.12. OOP Inheritance MRO
  • 5.13. OOP Abstract Interface
  • 5.14. OOP Abstract Protocol
  • 5.15. OOP Abstract Class
  • 5.16. OOP Abstract Polymorphism
  • 5.17. OOP Principles
  • 5.18. OOP S.O.L.I.D.
  • 5.19. OOP Abstract Polymorphism
  • 5.20. OOP Object Constructor
  • 5.21. OOP Class Factory
  • 5.22. OOP Class Metaclass
• 6. Idioms
  • 6.1. Idioms
  • 6.2. Range
  • 6.3. Enumerate
  • 6.4. Zip
  • 6.5. Map
  • 6.6. Filter
  • 6.7. Reduce
  • 6.8. All
  • 6.9. Any
  • 6.10. OOP Switch
  • 6.11. OOP Pattern Matching
  • 6.12. Patterns
• 7. Protocols
  • 7.1. Protocol About
  • 7.2. Protocol Iterator
  • 7.3. Protocol Context Manager
  • 7.4. Protocol Property
  • 7.5. Protocol Reflection
  • 7.6. Protocol Descriptor
• 8. Decorators
  • 8.1. Decorator About
  • 8.2. Decorator Types
  • 8.3. Decorator Wrapper
  • 8.4. Decorator About Object
  • 8.5. Decorator About Arguments
  • 8.6. Decorate Function
  • 8.7. Decorate Method
  • 8.8. Decorate Class
  • 8.9. Decorator Function
  • 8.10. Decorator Method
  • 8.11. Decorator Class
  • 8.12. Decorator Arguments
  • 8.13. Decorator Stdlib Functools
  • 8.14. Decorator Recap
• 9. Behavioral
  • 9.1. Memento
  • 9.2. State
  • 9.3. Iterator
  • 9.4. Strategy
  • 9.5. Template Method
  • 9.6. Command
  • 9.7. Observer
  • 9.8. Mediator
  • 9.9. Chain of Responsibility
  • 9.10. Visitor
  • 9.11. Gateway
  • 9.12. Interpreter
  • 9.13. State Machine
• 10. Structural
  • 10.1. Composite
  • 10.2. Adapter
  • 10.3. Decorator
  • 10.4. Façade
  • 10.5. Flyweight
  • 10.6. Bridge
  • 10.7. Proxy
• 11. Creational
  • 11.1. Singleton
  • 11.2. Borg
  • 11.3. Factory Method
  • 11.4. Abstract Factory
  • 11.5. Builder
  • 11.6. Prototype
• 12. Practices
  • 12.1. KISS
  • 12.2. YAGNI
  • 12.3. EFAP
• 13. Paradigms
  • 13.1. Callback
  • 13.2. Event Programming

Numpy

Numpy

• 1. About
  • 1.1. Numpy
  • 1.2. Numpy Configuration
  • 1.3. Precision
  • 1.4. Built-ins
  • 1.5. Performance
• 2. Create
  • 2.1. Array Create
  • 2.2. Array Range
  • 2.3. Array Generate
  • 2.4. Array Create Recap
  • 2.5. Array Serialize
  • 2.6. Array Import
  • 2.7. Array Export
• 3. Attributes
  • 3.1. Array Data Types
  • 3.2. Array Shape
  • 3.3. Array Attributes
  • 3.4. Array Attributes
• 4. Indexing
  • 4.1. Array Getitem
  • 4.2. Array Slice
  • 4.3. Array Axis
  • 4.4. Array New Axis
  • 4.5. Array Logic
  • 4.6. Array Select
  • 4.7. Advanced Indexing
• 5. Methods
  • 5.1. Array Round
  • 5.2. Array Sort
  • 5.3. Array Methods
  • 5.4. Array Concatenation
• 6. Random
  • 6.1. Random Generator
  • 6.2. Random Values
  • 6.3. Random Distributions
  • 6.4. Random Draw
• 7. Operations
  • 7.1. Array Iteration
  • 7.2. Array Arithmetic
  • 7.3. Array Broadcasting
• 8. Statistics
  • 8.1. Array Reduction
  • 8.2. Statistics
• 9. Math
  • 9.1. Trigonometry
  • 9.2. Linear Algebra
• 10. Polynomial
  • 10.1. Polynomials
• 11. References

Pandas

Pandas

• 1. About
  • 1.1. Pandas
  • 1.2. Types Basics
• 2. Import & Export
  • 2.1. Pandas Read
  • 2.2. Pandas Read CSV
  • 2.3. Read Excel
  • 2.4. Pandas Read JSON
  • 2.5. Pandas Read Clipboard
  • 2.6. Pandas Read String
  • 2.7. Pandas Read HTML
  • 2.8. Pandas Read Python
  • 2.9. Pandas Read SQL
  • 2.10. Pandas Read XML
  • 2.11. DataFrame Export
• 3. Series
  • 3.1. Series Create
  • 3.2. Series Attributes
  • 3.3. Series Index
  • 3.4. Series Sample
  • 3.5. Series Getitem
  • 3.6. Series Slicing
  • 3.7. Series NA
  • 3.8. Series Alter
  • 3.9. Series Sort
  • 3.10. Series Arithmetic
  • 3.11. Series Statistics
  • 3.12. Series Mapping
• 4. DataFrame
  • 4.1. DataFrame Create
  • 4.2. DataFrame Attributes
  • 4.3. DataFrame Index
  • 4.4. DataFrame Sample
  • 4.5. DataFrame Getitem
  • 4.6. DataFrame Slice
  • 4.7. DataFrame At
  • 4.8. DataFrame Loc
  • 4.9. DataFrame Select
  • 4.10. DataFrame Query
  • 4.11. DataFrame Update
  • 4.12. DataFrame Alter
  • 4.13. DataFrame NA
  • 4.14. DataFrame Sort
  • 4.15. DataFrame Statistics
  • 4.16. DataFrame Rolling
  • 4.17. DataFrame Mapping
  • 4.18. DataFrame Pivot
  • 4.19. DataFrame Group By
  • 4.20. DataFrame Aggregations
  • 4.21. DataFrame Join
  • 4.22. DataFrame Plotting
• 5. Date
  • 5.1. Date and Time Types
  • 5.2. Date and Time Timezones
  • 5.3. Date and Time Shifts
  • 5.4. Date and Time Frequency
  • 5.5. Date and Time Calendar
• 6. Recap
  • 6.1. Method Chaining
  • 6.2. Pandas Set Option
  • 6.3. Pandas Workflow
• 7. Case Studies
  • 7.1. API Gmail Stats
  • 7.2. CSV COVID-19
  • 7.3. CSV Phones
  • 7.4. Excel AATC Sensors
  • 7.5. HTML Apollo 11
  • 7.6. HTML ESA Astronauts
  • 7.7. HTML ESPN Standings
  • 7.8. HTML Livescores Standings
  • 7.9. HTML NBA Standings
  • 7.10. HTML Per Capita
  • 7.11. HTML Plan Zajec
  • 7.12. HTML Talary
  • 7.13. JSON Coinbase
  • 7.14. PDF E-Toll

Matplotlib

Matplotlib

• 1. About
  • 1.1. Matplotlib About
• 2. Figure
  • 2.1. Matplotlib Plots
  • 2.2. Matplotlib Subplots
  • 2.3. Matplotlib Style
  • 2.4. Matplotlib Scales
  • 2.5. Matplotlib Config
  • 2.6. Interactive
  • 2.7. Import/Export
• 3. Style
  • 3.1. How to understand charts?
  • 3.2. Figure anatomy
  • 3.3. Axes
  • 3.4. Axis
  • 3.5. Artist
  • 3.6. Plot Styles
• 4. Chart
  • 4.1. Line Chart
  • 4.2. Scatter Plot
  • 4.3. Bar Chart
  • 4.4. Histogram
  • 4.5. Box Chart
  • 4.6. Simple Box Charts
  • 4.7. Hide Outliers
  • 4.8. Multiple Box Charts
  • 4.9. Stacked Plot
  • 4.10. No labels
  • 4.11. With labels
  • 4.12. Stack plot
  • 4.13. Pie Chart
  • 4.14. 3D Charts
• 5. Advanced
  • 5.1. Advanced Styling
  • 5.2. Basic customizations
  • 5.3. Size
  • 5.4. Font
  • 5.5. Subplots
  • 5.6. Multiple figures and plots
  • 5.7. Animation
• 6. Recap
  • 6.1. Matplotlib Examples
  • 6.2. Matplotlib Plot Lifecycle
  • 6.3. Case Studies
  • 6.4. Assignments

Stdlib

Stdlib

• 1. Modules and Packages
  • 1.1. Module Import
  • 1.2. Module Tools
  • 1.3. Module ZIPAPP
  • 1.4. Module Distributing
• 2. Mathematics
  • 2.1. Math Precision
  • 2.2. Int
  • 2.3. Math Stdlib
  • 2.4. Math Statistics
  • 2.5. Math Fractions
  • 2.6. Math Complex Numbers
• 3. Locale
  • 3.1. Locale About
  • 3.2. Locale i18n
  • 3.3. Locale l10n
  • 3.4. Locale Encoding
• 4. Pickle
  • 4.1. Pickle About
  • 4.2. Pickle Dump
  • 4.3. Pickle Load
  • 4.4. Pickle Objects
  • 4.5. Pickle File
• 5. XML
  • 5.1. XML Parsing HTML
  • 5.2. XML Module lxml
  • 5.3. XML Stdlib
  • 5.4. XML Namespace
  • 5.5. XPATH
  • 5.6. XSLT
  • 5.7. Assignments
• 6. Operating System
  • 6.1. OS Tempfile
  • 6.2. OS Interpreter
  • 6.3. OS Commandline Arguments
  • 6.4. OS Operating System
  • 6.5. OS Pathlib
• 7. Builtin
  • 7.1. Builtin Functions
  • 7.2. Builtin Keywords
  • 7.3. Operator Library
  • 7.4. Builtin Printing
  • 7.5. Sequence Frozenset
  • 7.6. Sequence Unordered
• 8. Loop
  • 8.1. Comprehensions Nesting
  • 8.2. Loop Else For
  • 8.3. Syntax Loop Else
• 9. Performance
  • 9.1. Performance Collections
  • 9.2. Performance CTypes
  • 9.3. Performance CModules
• 10. TKInter
  • 10.1. Tkinter

DevOps

DevOps

• 1. About
  • 1.1. Agenda
  • 1.2. Certificate
  • 1.3. Description
  • 1.4. Survey
• 2. Good Engineering Practices
  • 2.1. Software Engineering Conventions
  • 2.2. The Zen of Python
  • 2.3. Code Smells
  • 2.4. ReST and Sphinx documentation
• 3. Tests
  • 3.1. Pytest
• 4. Debugging
  • 4.1. Python WAT?!
  • 4.2. Logging
  • 4.3. Warnings
  • 4.4. Basic Debugging
  • 4.5. Advanced Debugging
  • 4.6. Introspection
• 5. Type Annotation
  • 5.1. Type Checking
  • 5.2. Annotating existing code
  • 5.3. Introspection
• 6. CI/CD
  • 6.1. CI/CD Devtools Ecosystem
  • 6.2. CI/CD Python
  • 6.3. Flit
  • 6.4. Tests
  • 6.5. CI/CD Tools
  • 6.6. Wheel
  • 6.7. CI/CD Pipelines
  • 6.8. Linters
  • 6.9. Behavioral Testing
  • 6.10. Code Style
  • 6.11. Code Coverage
  • 6.12. Internationalization
  • 6.13. DB Schema Migration
  • 6.14. Distributing
  • 6.15. Security
  • 6.16. Smoke Tests
  • 6.17. Static Code Analysis
  • 6.18. Test Automation
  • 6.19. Type Checking
  • 6.20. UI testing
  • 6.21. Mutation Testing

Network

Network

• 1. About
  • 1.1. Entry Test
  • 1.2. Agenda
  • 1.3. Certificate
• 2. Protocols
  • 2.1. FTP
  • 2.2. IMAP
  • 2.3. SMTP
  • 2.4. POP3
  • 2.5. LDAP
  • 2.6. SSH
  • 2.7. DNS
• 3. Web
  • 3.1. HTTP using stdlib
  • 3.2. http.HTTPStatus
  • 3.3. urllib
  • 3.4. http.server
  • 3.5. http.client
  • 3.6. Connecting
  • 3.7. GET Request
  • 3.8. GET Request in chunks
  • 3.9. GET Request to Not Existing Resource
  • 3.10. HEAD Request
  • 3.11. POST Request
  • 3.12. Basic Auth
  • 3.13. Assignments
  • 3.14. HTTP using requests
  • 3.15. HTML Scrapping
  • 3.16. HTTP Frameworks
  • 3.17. FastAPI
  • 3.18. Templates with Jinja2
  • 3.19. PaaS - Platform as a Service
  • 3.20. Asynchronous processing
  • 3.21. SOAP and WSDL
• 4. Transport
  • 4.1. OSI Model
  • 4.2. Interfaces
  • 4.3. Routing
  • 4.4. Socket
  • 4.5. SSL
  • 4.6. IPv4/IPv6
  • 4.7. TCP/UDP
  • 4.8. scapy
  • 4.9. 3rd Party Libraries
  • 4.10. Mini Botnet

HTTP and Microservices

HTTP and Microservices

• 1. About
  • 1.1. Entry Test
  • 1.2. Agenda
  • 1.3. Certificate
• 2. HTTP Protocol
  • 2.1. HTTP About
  • 2.2. HTTP Identifier
  • 2.3. HTTP Method
  • 2.4. HTTP Header
  • 2.5. HTTP MIME Types
  • 2.6. HTTP Status
  • 2.7. HTTP API Versioning
  • 2.8. HTTP 2.0
  • 2.9. HTTPS
  • 2.10. Gateway Interface
• 3. Microservices
  • 3.1. Microservices About
  • 3.2. Microservices Architecture
  • 3.3. Microservices Distributed Systems
  • 3.4. Microservice Reactive
  • 3.5. Microservice Cloud
  • 3.6. Microservice API
  • 3.7. Microservice Problems
  • 3.8. Microservice Event
  • 3.9. Microservice Lifecycle
  • 3.10. Microservices Choreography
  • 3.11. Microservice Discovery
  • 3.12. Microservice Runtime
  • 3.13. Microservice Database
  • 3.14. Microservices Good Practices
• 4. Auth
  • 4.1. Auth Basic
  • 4.2. Auth JSON Web Token
  • 4.3. Passkey

Django

Django

• 1. About
  • 1.1. Certificate
  • 1.2. HTTP
  • 1.3. HTTP URL
  • 1.4. Introduction to Django
  • 1.5. Django Framework Architecture
• 2. Conf
  • 2.1. Installation and Running
  • 2.2. Settings
  • 2.3. Apps
• 3. Models
  • 3.1. Model About
  • 3.2. Models Text Fields
  • 3.3. Models Numeric and Logic
  • 3.4. Model Date and Time
  • 3.5. Models Storage Fields
  • 3.6. Model Special Fields
  • 3.7. Model Relations
  • 3.8. Models Enum
  • 3.9. Model Introspect
  • 3.10. Model Custom Field
  • 3.11. Model Use Case
• 4. Admin
  • 4.1. Admin panel
• 5. Orm
  • 5.1. ORM
  • 5.2. ORM Create
  • 5.3. ORM All
  • 5.4. ORM Get
  • 5.5. ORM Update
  • 5.6. ORM Delete
  • 5.7. ORM Filter
  • 5.8. ORM Q
  • 5.9. ORM F
  • 5.10. ORM Functions
  • 5.11. ORM Annotate
  • 5.12. ORM Aggregate
• 6. Views
  • 6.1. Views
  • 6.2. URL Router
  • 6.3. Staticfiles
  • 6.4. Templates
  • 6.5. Templatetags
  • 6.6. Forms
• 7. Utils
  • 7.1. i18n and l10n
  • 7.2. Management Commands
  • 7.3. Standalone scripts
  • 7.4. Static File
  • 7.5. Middleware
  • 7.6. Database
  • 7.7. Cache
  • 7.8. Signals
• 8. API
  • 8.1. REST
  • 8.2. Auth and Permissions
  • 8.3. API CORS
• 9. DevOps
  • 9.1. Tests and quality
  • 9.2. Tests
  • 9.3. CI/CD - Continuous Integration and Deployment
  • 9.4. Deployment
• 10. Async
  • 10.1. Celery

FastAPI

FastAPI

• 1. About
  • 1.1. FastAPI About
  • 1.2. About Entry Test
  • 1.3. About Agenda
• 2. FastAPI
  • 2.1. FastAPI About
  • 2.2. FastAPI Install
  • 2.3. FastAPI Architecture
  • 2.4. FastAPI Schema
  • 2.5. FastAPI Documentation
  • 2.6. FastAPI GET
  • 2.7. FastAPI POST
  • 2.8. FastAPI Status
  • 2.9. FastAPI Cookies
  • 2.10. FastAPI Headers
  • 2.11. FastAPI Files
  • 2.12. FastAPI WebSockets
  • 2.13. FastAPI Config
  • 2.14. FastAPI Dependencies
  • 2.15. FastAPI Routers
  • 2.16. FastAPI Middleware
  • 2.17. FastAPI Background Tasks
• 3. Pydantic
  • 3.1. Pydantic Models
  • 3.2. Pydantic Schema
  • 3.3. Pydantic Types Stdlib
  • 3.4. Pydantic Types Custom
  • 3.5. Pydantic Types Constrained
  • 3.6. Pydantic Validator
  • 3.7. Pydantic Settings
• 4. Database
  • 4.1. Database ORM
  • 4.2. Database Auth
  • 4.3. User Create
  • 4.4. Database Relationship
  • 4.5. Database NoSQL
• 5. Auth
  • 5.1. Auth Basic
  • 5.2. Auth JSON Web Token
• 6. DevOps
  • 6.1. FastAPI Test Sync
  • 6.2. FastAPI Test Async
  • 6.3. DevOps Docker
• 7. Use Cases
  • 7.1. Example
• 8. Appendix
  • 8.1. Further Reading

Data Science

Data Science

• 1. About
  • 1.1. Description
  • 1.2. Program
  • 1.3. Agenda
  • 1.4. Certificate
  • 1.5. Survey
• 2. Jupyter
  • 2.1. Jupyter
• 3. Python
  • 3.1. Python Syntax
  • 3.2. Types
  • 3.3. Sequences
  • 3.4. Mappings
  • 3.5. Conditionals
  • 3.6. Looping
  • 3.7. Control Flow
  • 3.8. Functions
  • 3.9. Object Oriented Programming
  • 3.10. Packages
  • 3.11. Math
  • 3.12. Serialization
  • 3.13. Performance
• 4. Data Visualization
  • 4.1. Plotly
  • 4.2. Bokeh
  • 4.3. Seaborn
  • 4.4. Generowanie grafów
• 5. Scipy
  • 5.1. SciPy

Machine Learning

Machine Learning

• 1. About
  • 1.1. Certificate
  • 1.2. Description
  • 1.3. Survey
• 2. Introduction
  • 2.1. What is Data?
  • 2.2. Basic Statistics
  • 2.3. Machine Learning Introduction
  • 2.4. Glossary PL
  • 2.5. Glossary
  • 2.6. Datasets
  • 2.7. Machine Learning Algorithms
  • 2.8. Features
  • 2.9. Classifiers
• 3. Sklearn
  • 3.1. scikit-learn
• 4. Model Quality
  • 4.1. Model Quality
  • 4.2. Principal Component Analysis
• 5. Decision Trees
  • 5.1. Decision Tree
• 6. Regressions
  • 6.1. Linear Regression
  • 6.2. Logistic Regression
• 7. K-Nearest Neighbors
  • 7.1. K Nearest Neighbors
• 8. Bayes
  • 8.1. Naive Bayes
• 9. Support Vector Machines
  • 9.1. Support Vector Machines
• 10. Clustering
  • 10.1. K-Means Clustering
• 11. Neural Networks
  • 11.1. Deep Neural Network
  • 11.2. Convolutional Neural Network
• 12. References
  • 12.1. References
  • 12.2. Notes

Object Oriented Programming

Object Oriented Programming

• 1. Paradigm
  • 1.1. Polymorphism
  • 1.2. Interface
  • 1.3. String Interning
  • 1.4. Dependency Injection
  • 1.5. Good Engineering Practises
• 2. Python
  • 2.1. Method Resolution Order
  • 2.2. Namespace
  • 2.3. New and Old Style Class
  • 2.4. Hash
  • 2.5. Slots
  • 2.6. Metaclass
• 3. Dynamic Typing
  • 3.1. Dynamic Typing
  • 3.2. Monkey Patching

Blogposts

Blogposts

• 1. Machine Learning Introduction

Dragon

Dragon

• 1. Dragon (version alpha)
  • 1.1. English
  • 1.2. Polish
  • 1.3. Hints
  • 1.4. Solution
• 2. Dragon (version beta)
  • 2.1. English
  • 2.2. Polish
  • 2.3. Solution
• 3. Dragon (version release candidate)
  • 3.1. English
  • 3.2. Polish
  • 3.3. Solution
• 4. ADR Template
  • 4.1. Summary
  • 4.2. Context and Problem Statement
  • 4.3. Decision Drivers
  • 4.4. Considered Options
  • 4.5. Decision Outcome
  • 4.6. Pros and Cons of the Options
  • 4.7. References
• 5. Dragon ADR Init Name
  • 5.1. Problem
  • 5.2. Option 1
  • 5.3. Option 2
  • 5.4. Decision
• 6. Dragon ADR Init Position
  • 6.1. Problem
  • 6.2. Option 1
  • 6.3. Option 2
  • 6.4. Option 3
  • 6.5. Option 4
  • 6.6. Option 5
  • 6.7. Option 6
  • 6.8. Option 7
  • 6.9. Option 8
  • 6.10. Option 9
  • 6.11. Option 10
  • 6.12. Option 11
  • 6.13. Option 12
  • 6.14. Option 13
  • 6.15. Option 14
  • 6.16. Option 15
  • 6.17. Option 16
  • 6.18. Decision
• 7. Dragon ADR Position Set
  • 7.1. Problem
  • 7.2. Option 1
  • 7.3. Option 2
  • 7.4. Option 3
  • 7.5. Option 4
  • 7.6. Option 5
  • 7.7. Option 6
  • 7.8. Option 7
  • 7.9. Option 8
  • 7.10. Option 9
  • 7.11. Option 10
  • 7.12. Option 11
  • 7.13. Option 12
  • 7.14. Decision
• 8. Dragon ADR Position Change
  • 8.1. Problem
  • 8.2. Option 1
  • 8.3. Option 2
  • 8.4. Option 3
  • 8.5. Option 4
  • 8.6. Option 5
  • 8.7. Option 6
  • 8.8. Option 7
  • 8.9. Option 8
  • 8.10. Option 9
  • 8.11. Option 10
  • 8.12. Option 11
  • 8.13. Option 12
  • 8.14. Option 13
  • 8.15. Option 14
  • 8.16. Option 15
  • 8.17. Option 16
  • 8.18. Option 17
  • 8.19. Option 18
  • 8.20. Option 19
  • 8.21. Option 20
  • 8.22. Option 21
  • 8.23. Option 22
  • 8.24. Option 23
  • 8.25. Option 24
  • 8.26. Option 25
  • 8.27. Option 26
  • 8.28. Option 27
  • 8.29. Option 28
  • 8.30. Option 29
  • 8.31. Option 30
  • 8.32. Decision
• 9. Dragon ADR Damage Make
  • 9.1. Problem
  • 9.2. Option 1
  • 9.3. Option 2
  • 9.4. Option 3
  • 9.5. Option 4
  • 9.6. Option 5
  • 9.7. Option 6
  • 9.8. Option 7
  • 9.9. Option 8
  • 9.10. Decision
• 10. Dragon ADR Damage Take
  • 10.1. Problem
  • 10.2. Option 1
  • 10.3. Option 2
  • 10.4. Option 3
  • 10.5. Option 4
  • 10.6. Option 5
  • 10.7. Option 6
  • 10.8. Option 7
  • 10.9. Option 8
  • 10.10. Option 9
  • 10.11. Option 10
  • 10.12. Decision

Appendixes

• Writing Progress
• References in the Book
• Survey
• Python History
• 10.1. Further reading