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

2015-2021

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
• Install

Python Basics

Python Basics

• 1. About
  • 1.1. Agenda
  • 1.2. Development Environment
  • 1.3. Python Language
  • 1.4. Python Syntax
• 2. Type Numeric
  • 2.1. Operators
  • 2.2. Numeric Int
  • 2.3. Numeric Float
• 3. Type Logic
  • 3.1. Logic Bool
  • 3.2. Logic None
• 4. Type String
  • 4.1. Str Define
  • 4.2. Str Value
  • 4.3. Str Literals
  • 4.4. Str Input
  • 4.5. Str Methods
  • 4.6. Str Clean
• 5. Sequences
  • 5.1. Sequence List
  • 5.2. Sequence Tuple
  • 5.3. Sequence Set
  • 5.4. Sequence Frozenset
  • 5.5. Sequence Nested
  • 5.6. Sequence GetItem
  • 5.7. Sequence Slice
  • 5.8. Unpacking Assignment
• 6. Mappings
  • 6.1. Mapping Dict
  • 6.2. Mapping Generate
  • 6.3. Mapping Nested
• 7. Conditional
  • 7.1. Conditional Operator
  • 7.2. Conditional Membership
  • 7.3. Conditional Statement
  • 7.4. Conditional Expression
• 8. Exception
  • 8.1. Exception Raise
  • 8.2. Exception Commonly Raised
  • 8.3. Exception Catching
  • 8.4. Exception Hierarchy
  • 8.5. Exception Assertion
  • 8.6. Exception Traceback
  • 8.7. Exception Define
  • 8.8. Exit Status Code
• 9. Loops
  • 9.1. Loop While
  • 9.2. Loop For
  • 9.3. Loop Nested Sequences
  • 9.4. Loop Unpacking Assignment
  • 9.5. Loop over Dict
• 10. Comprehensions
  • 10.1. Loop Comprehension
• 11. Files
  • 11.1. File Path
  • 11.2. File Modes
  • 11.3. File Write
  • 11.4. File Append
  • 11.5. File Read
  • 11.6. File Encoding
  • 11.7. Files Binary
• 12. Functions
  • 12.1. Function Definition
  • 12.2. Function Return
  • 12.3. Function Parameters
  • 12.4. Function Arguments
  • 12.5. Function Scope
  • 12.6. Function Recurrence
  • 12.7. Function Generators
  • 12.8. Function Lambda
  • 12.9. Function Doctest
• 13. Object Oriented Programming
  • 13.1. OOP Classes and Instances
  • 13.2. OOP Attributes
  • 13.3. OOP Init Method
  • 13.4. OOP Methods
  • 13.5. OOP Methods and Attributes
  • 13.6. OOP Inheritance
  • 13.7. OOP Inheritance Patterns
  • 13.8. OOP Inheritance Problems
  • 13.9. OOP Super
  • 13.10. OOP Stringify Objects
  • 13.11. OOP Architecture
• 14. Recap
  • 14.1. Good Practices
  • 14.2. Certificate
  • 14.3. Further reading

Python Intermediate

Python Intermediate

• 1. About
  • 1.1. Agenda
  • 1.2. Certificate
  • 1.3. Entry Test
• 2. Unpacking
  • 2.1. Unpacking Assignment
  • 2.2. Unpacking Assignment Star
  • 2.3. Unpacking Parameters
  • 2.4. Unpacking Arguments
  • 2.5. Unpacking Parameter Syntax
  • 2.6. Unpacking Assignment Expression
• 3. Type Annotation
  • 3.1. Type Annotation Scalar
  • 3.2. Type Annotation Sequence
  • 3.3. Type Annotation Mapping
  • 3.4. Type Annotation Function
  • 3.5. Type Annotation OOP
  • 3.6. Type Annotation Static Analysis
• 4. Datetime and Timezones
  • 4.1. Datetime Create
  • 4.2. Datetime ISO Standard
  • 4.3. Datetime Format
  • 4.4. Datetime Standards
  • 4.5. Datetime Parse
  • 4.6. Datetime Time Deltas
  • 4.7. Datetime Timestamp
  • 4.8. Datetime Time Utils
  • 4.9. Datetime Timezone
• 5. CSV
  • 5.1. CSV Standard
  • 5.2. CSV Reader
  • 5.3. CSV Writer
  • 5.4. CSV DictReader
  • 5.5. CSV DictWriter
  • 5.6. CSV Non-Standard
  • 5.7. CSV Relations
• 6. JSON
  • 6.1. JSON Standard
  • 6.2. JSON To String
  • 6.3. JSON To File
  • 6.4. JSON Encoder
  • 6.5. JSON Decoder
  • 6.6. JSON Object
• 7. Pickle
  • 7.1. Pickle Dump
  • 7.2. Pickle Load
  • 7.3. Pickle Objects
  • 7.4. Pickle File
• 8. Database
  • 8.1. SQL Data Types
  • 8.2. SQL Constraints
  • 8.3. SQL Table
  • 8.4. SQL Index
  • 8.5. SQL Insert
  • 8.6. SQL Select From
  • 8.7. SQL Select Limit
  • 8.8. SQL Select Order By
  • 8.9. SQL Select Where
  • 8.10. SQL Select Group By
  • 8.11. SQL Select Subquery
  • 8.12. SQL Select Distinct
  • 8.13. SQL Select Functions
  • 8.14. SQL Update
  • 8.15. SQL Delete
  • 8.16. SQL Transaction
  • 8.17. SQL Join
  • 8.18. SQL Injection
  • 8.19. SQLite3 About
  • 8.20. SQLite3 Connect
  • 8.21. SQLite3 Execute
  • 8.22. SQLite3 Insert Sequence
  • 8.23. SQLite3 Insert Mapping
  • 8.24. SQLite3 Insert Constraints
  • 8.25. SQLite3 Fetch
  • 8.26. SQLite3 Cursor
  • 8.27. SQLite3 Join
  • 8.28. SQLite3 Use Cases
• 9. Regular Expressions
  • 9.1. Syntax About
  • 9.2. Syntax Qualifier
  • 9.3. Syntax Negation
  • 9.4. Syntax Identifier
  • 9.5. Syntax Quantifier
  • 9.6. Syntax Group
  • 9.7. Syntax Flag
  • 9.8. Syntax Look Ahead/Behind
  • 9.9. Syntax Extension
  • 9.10. Syntax Use Cases
  • 9.11. RE Match
  • 9.12. RE Search
  • 9.13. RE Findall, Finditer
  • 9.14. RE Compare
  • 9.15. RE Compile
  • 9.16. RE Group
  • 9.17. RE Multiline
  • 9.18. RE Substitute
  • 9.19. RE Split
  • 9.20. RE Non-Greedy
  • 9.21. RE Type Annotation
• 10. Enum
  • 10.1. OOP Enum
• 11. Dataclass
  • 11.1. Dataclass About
  • 11.2. Dataclass Define
  • 11.3. Dataclass Postinit
  • 11.4. Dataclass Field
  • 11.5. Dataclass Mutable Attrs
  • 11.6. Dataclass Parameters
  • 11.7. Dataclass Helpers
  • 11.8. Dataclass Inheritance
• 12. Operators
  • 12.1. Operators About
  • 12.2. Operators Numerical
  • 12.3. Operators Stringify
  • 12.4. Operators Comparison
  • 12.5. Operators Boolean
  • 12.6. Operators Builtin
  • 12.7. Operators Accessors
• 13. Modules and Packages
  • 13.1. Module PIP
  • 13.2. Module Import
  • 13.3. Module Tools
  • 13.4. Module ZIPAPP
  • 13.5. Module Distributing
• 14. Logging
  • 14.1. Logging
• 15. Locale
  • 15.1. Locale About
  • 15.2. Locale i18n
  • 15.3. Locale About
  • 15.4. Locale Encoding
• 16. Mathematics
  • 16.1. Math Stdlib
  • 16.2. Math Statistics
  • 16.3. Math Random
  • 16.4. Math Fractions
  • 16.5. Math Precision
  • 16.6. Math Complex Numbers
• 17. Operating System
  • 17.1. OS Tempfile
  • 17.2. OS Interpreter
  • 17.3. OS Commandline Arguments
  • 17.4. OS Operating System
  • 17.5. OS Pathlib
• 18. References

Python Advanced

Python Advanced

• 1. About
  • 1.1. Entry Test
  • 1.2. Agenda
• 2. Generators
  • 2.1. Generator About
  • 2.2. Generator Builtin
  • 2.3. Generator Expression
  • 2.4. Generator Function
  • 2.5. Generator Inspect
  • 2.6. Generator Yield From
  • 2.7. Generator Send
  • 2.8. Generator Itertools
• 3. Functional Programming
  • 3.1. FuncProg About
  • 3.2. FuncProg Lambda
  • 3.3. FuncProg Scope
  • 3.4. FuncProg Pure Functions
  • 3.5. FuncProg Recurrence
  • 3.6. FuncProg Immutable
  • 3.7. FuncProg First-class Functions
  • 3.8. FuncProg Higher-Order
  • 3.9. FuncProg Referential Transparency
  • 3.10. FuncProg Namespace
  • 3.11. FuncProg Function Attributes
  • 3.12. FuncProg Callable
  • 3.13. FuncProg Closure
  • 3.14. FuncProg Functools
• 4. Decorators
  • 4.1. Decorator About
  • 4.2. Decorator Types
  • 4.3. Decorator Function with Func
  • 4.4. Decorator Function with Cls
  • 4.5. Decorator Function with Mth
  • 4.6. Decorator Class with Func
  • 4.7. Decorator Arguments
  • 4.8. Decorator Stdlib Functools
  • 4.9. Decorator Recap
• 5. Object Oriented Programming
  • 5.1. OOP Mutability
  • 5.2. OOP Static and Dynamic Attrs
  • 5.3. OOP Staticmethod
  • 5.4. OOP Classmethod
  • 5.5. OOP Access Modifiers
  • 5.6. OOP Inheritance vs. Composition
  • 5.7. OOP Inheritance
  • 5.8. OOP Method Resolution Order
  • 5.9. OOP Polymorphism
  • 5.10. OOP Object Relations
  • 5.11. OOP Interface
  • 5.12. OOP Abstract Class
  • 5.13. OOP Object Identity
  • 5.14. OOP Slots
  • 5.15. OOP Constructor
  • 5.16. OOP Class Creation
  • 5.17. OOP Metaclass
• 6. Performance
  • 6.1. Complexity
  • 6.2. Performance Optimization
  • 6.3. Micro-benchmarking
  • 6.4. Case Study: Memoize
  • 6.5. Case Study: Str Concat
  • 6.6. Case Study: Unique Keys
  • 6.7. Profiling
  • 6.8. Compilers and Interpreters
  • 6.9. Collections
  • 6.10. C Types
  • 6.11. C Modules
• 7. Concurrency
  • 7.1. Concurrency Models
  • 7.2. Queues
  • 7.3. Threading
  • 7.4. Multiprocessing
  • 7.5. Async Programming
  • 7.6. AsyncIO
• 8. Recap
  • 14.3. Further reading
  • 8.1. Recap
  • 8.2. Certificate

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 Relationship
  • 2.4. UML Class Diagram
  • 2.5. UML Sequence Diagram
• 3. OOP
  • 3.1. OOP Principles
  • 3.2. OOP Access Modifiers
  • 3.3. OOP Inheritance vs. Composition
  • 3.4. OOP Interface
  • 3.5. OOP Abstract Class
  • 3.6. OOP Static and Dynamic Attrs
  • 3.7. OOP Staticmethod
  • 3.8. OOP Classmethod
  • 3.9. OOP Switch
  • 3.10. OOP Pattern Matching
  • 3.11. OOP Polymorphism
  • 3.12. OOP S.O.L.I.D.
• 4. Idioms
  • 4.1. Range
  • 4.2. Enumerate
  • 4.3. Zip
  • 4.4. Map
  • 4.5. Filter
  • 4.6. Reduce
  • 4.7. All
  • 4.8. Any
  • 4.9. Patterns
• 5. Protocols
  • 5.1. Protocol About
  • 5.2. Protocol Iterator
  • 5.3. Protocol Context Manager
  • 5.4. Protocol Property
  • 5.5. Protocol Reflection
  • 5.6. Protocol Descriptor
• 6. Decorators
  • 6.1. Decorator About
  • 6.2. Decorator Function with Func
  • 6.3. Decorator Function with Cls
  • 6.4. Decorator Function with Mth
  • 6.5. Decorator Class with Func
  • 6.6. Decorator Arguments
  • 6.7. Decorator Stdlib Functools
  • 6.8. Decorator Recap
• 7. Behavioral
  • 7.1. Memento
  • 7.2. State
  • 7.3. Iterator
  • 7.4. Strategy
  • 7.5. Template Method
  • 7.6. Command
  • 7.7. Observer
  • 7.8. Mediator
  • 7.9. Chain of Responsibility
  • 7.10. Visitor
  • 7.11. Gateway
  • 7.12. Interpreter
  • 7.13. State Machine
• 8. Structural
  • 8.1. Composite
  • 8.2. Adapter
  • 8.3. Decorator
  • 8.4. Façade
  • 8.5. Flyweight
  • 8.6. Bridge
  • 8.7. Proxy
• 9. Creational
  • 9.1. Singleton
  • 9.2. Borg
  • 9.3. Factory Method
  • 9.4. Abstract Factory
  • 9.5. Builder
  • 9.6. Prototype
• 10. Practices
  • 10.1. KISS
  • 10.2. YAGNI
  • 10.3. EFAP
• 11. Paradigms
  • 11.1. Callback
  • 11.2. Event Programming

Numpy

Numpy

• 1. About
  • 1.1. Numpy
  • 1.2. Precision
  • 1.3. Built-ins
• 2. Array
  • 2.1. Array Create
  • 2.2. Array Data Types
  • 2.3. Array Shape
  • 2.4. Array Attributes
  • 2.5. Array Getitem
  • 2.6. Array Slice
  • 2.7. Array Axis
  • 2.8. Array New Axis
  • 2.9. Array Random
  • 2.10. Array Rounding
  • 2.11. Array Sort
  • 2.12. Array Methods
  • 2.13. Array Concatenation
• 3. Select
  • 3.1. Array Iteration
  • 3.2. Array Arithmetic
  • 3.3. Array Broadcasting
  • 3.4. Array Reduction
  • 3.5. Array Logic
  • 3.6. Array Select
  • 3.7. Advanced Indexing
• 4. Import & Export
  • 4.1. Array Serialize
  • 4.2. Data Import and Export
• 5. Math
  • 5.1. Statistics
  • 5.2. Trigonometry
  • 5.3. Polynomials
  • 5.4. Linear Algebra
  • 5.5. Performance
• 6. 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. Pandas Read JSON
  • 2.4. Pandas Read String
  • 2.5. Pandas Read HTML
  • 2.6. Pandas Read Clipboard
  • 2.7. Pandas Read SQL
  • 2.8. Pandas Read XML
  • 2.9. 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 Mapping
  • 4.17. DataFrame Group By
  • 4.18. DataFrame Aggregations
  • 4.19. DataFrame Join
  • 4.20. 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. Case Study COVID-19
  • 7.2. ESA Astronauts
  • 7.3. ESPN Standings
  • 7.4. Livescores

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

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. Unit Testing
  • 3.2. 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 Tools
  • 6.3. CI/CD Pipelines
  • 6.4. Linters
  • 6.5. Behavioral Testing
  • 6.6. Code Style
  • 6.7. Code Coverage
  • 6.8. Internationalization
  • 6.9. DB Schema Migration
  • 6.10. Distributing
  • 6.11. Security
  • 6.12. Smoke Tests
  • 6.13. Static Code Analysis
  • 6.14. Test Automation
  • 6.15. Type Checking
  • 6.16. UI testing
  • 6.17. Mutation Testing

Network and HTTP

Network and HTTP

• 1. About
  • 1.1. Entry Test
  • 1.2. Assignments
  • 1.3. Agenda
  • 1.4. Day 1 (data and protocols)
  • 1.5. Day 2 (HTTP and Web)
  • 1.6. Day 3 (low-level networking)
  • 1.7. Day 4 (network applications)
  • 1.8. 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. Transport
  • 3.1. OSI Model
  • 3.2. Interfaces
  • 3.3. Routing
  • 3.4. Socket
  • 3.5. SSL
  • 3.6. IPv4/IPv6
  • 3.7. TCP/UDP
  • 3.8. scapy
  • 3.9. 3rd Party Libraries
  • 3.10. Mini Botnet

Django

Django

• 1. Certificate
• 2. Introduction to Django
  • 2.1. Rationale
  • 2.2. Documentation
  • 2.3. Versioning
  • 2.4. Release Notes
  • 2.5. LTS - Long Time Support
  • 2.6. setup.cfg
  • 2.7. IDE Support
• 3. Django Framework Architecture
  • 3.1. Framework Architecture
  • 3.2. Request-Response flow
• 4. Installation and Running
  • 4.1. Installation
  • 4.2. Starting new project
  • 4.3. IDE Run configuration
  • 4.4. Run configuration
  • 4.5. Debug configuration
• 5. Settings
  • 5.1. Rationale
  • 5.2. Example
  • 5.3. Use Case - HabitatOS
• 6. Apps
  • 6.1. Reusability
  • 6.2. Location
  • 6.3. Create
  • 6.4. Structure
  • 6.5. Configuration
• 7. Model About
  • 7.1. Rationale
  • 7.2. Attributes
  • 7.3. Abstract Models
  • 7.4. Database schema migration
• 8. Models Text Fields
  • 8.1. Fields
  • 8.2. Attributes
• 9. Models Numeric and Logic
  • 9.1. Numeric Fields
  • 9.2. Logic Fields
  • 9.3. Attributes
  • 9.4. All
• 10. Model Date and Time
  • 10.1. Fields
  • 10.2. Arguments
  • 10.3. Attributes
• 11. Models Storage Fields
  • 11.1. Fields
  • 11.2. Attributes
• 12. Model Special Fields
  • 12.1. Fields
  • 12.2. Attributes
• 13. Model Relations
  • 13.1. Fields
  • 13.2. Attributes
  • 13.3. All
• 14. Model Introspect
  • 14.1. Reverse engineering database
  • 14.2. Graph Model
• 15. Model Custom Field
• 16. Model Use Case
  • 16.1. Use Case - Contact
  • 16.2. Assignments
  • 16.3. References
• 17. Admin panel
  • 17.1. Customizing
  • 17.2. Permissions
  • 17.3. Users
  • 17.4. Groups
  • 17.5. Content Types
  • 17.6. Model Admin
  • 17.7. Model registering
  • 17.8. Admin fields
  • 17.9. Writing own list_filter
  • 17.10. Model Inlines
  • 17.11. StackedInline
  • 17.12. TabularInline
  • 17.13. Extending Admin
  • 17.14. Media Class
  • 17.15. ModelAdmin Example
  • 17.16. django-import-export
  • 17.17. Grapelli
  • 17.18. Installation
  • 17.19. Settings
  • 17.20. Template overwrite
  • 17.21. Autocomplete
  • 17.22. TinyMCE
  • 17.23. FileUploader
  • 17.24. list_editable
  • 17.25. date_hierarchy
• 18. ORM
  • 18.1. Rationale
  • 18.2. QuerySet
  • 18.3. Examples
  • 18.4. Filtered QuerySets are unique
  • 18.5. QuerySets are lazy
  • 18.6. Field lookups
  • 18.7. Lookups that span relationships
  • 18.8. Filters can reference fields on the model
  • 18.9. The pk lookup shortcut
  • 18.10. Complex lookups with Q objects
  • 18.11. Comparing objects
  • 18.12. Q() expressions
  • 18.13. F() expressions
  • 18.14. Aggregations
  • 18.15. Functions
• 19. ORM Create
  • 19.1. Model Instance
  • 19.2. Objects Create
  • 19.3. Creation Counter
  • 19.4. Get or Create
  • 19.5. Update or Create
  • 19.6. Bulk Create
• 20. ORM Get
  • 20.1. Get
  • 20.2. Try Get
  • 20.3. Get or Create
  • 20.4. Get or 404
• 21. ORM Update
  • 21.1. Update
  • 21.2. Update or Create
  • 21.3. Bulk Update
  • 21.4. Select for Update
• 22. ORM Delete
  • 22.1. Delete
  • 22.2. Try Delete
• 23. ORM Filter
• 24. ORM Q
  • 24.1. Union
  • 24.2. Alternative
  • 24.3. Negation
  • 24.4. Multiple Queries
• 25. ORM F
• 26. ORM Functions
  • 26.1. Concat
• 27. ORM Aggregate
• 28. Views
  • 28.1. Function View
  • 28.2. Async Views
  • 28.3. Class Based Views
  • 28.4. Generic Views
  • 28.5. TemplateView
  • 28.6. RedirectView
  • 28.7. View
  • 28.8. Responses
  • 28.9. Permissions in Views
  • 28.10. Class Based Views
  • 28.11. Decorators
• 29. URL Router
  • 29.1. Global URLs
  • 29.2. In app URLs
  • 29.3. urlpatterns
  • 29.4. path
  • 29.5. url
  • 29.6. include
  • 29.7. URLs reversing
  • 29.8. URLs in templates
• 30. Staticfiles
  • 30.1. Settings
  • 30.2. Serving staticfiles
• 31. Templates
• 32. Templatetags
  • 32.1. Rationale
  • 32.2. Filters
  • 32.3. Float Format
  • 32.4. Simple Tags
  • 32.5. Assignment tags
  • 32.6. Block tags
• 33. Forms
  • 33.1. Forms
  • 33.2. Simple "contact us" form
  • 33.3. Model Forms
  • 33.4. Widgets
• 34. i18n and l10n
  • 34.1. Timezone
  • 34.2. Gettext
  • 34.3. i18n - internationalization
• 35. Management Commands
  • 35.1. Rationale
  • 35.2. Built-in
  • 35.3. Structure
  • 35.4. Minimal command boilerplate code
  • 35.5. Writing own management commands
  • 35.6. Call
  • 35.7. Use Case - Cleaning data in database
  • 35.8. Use Case - Parse file line by line
  • 35.9. Use cases
• 36. Standalone scripts
• 37. Middleware
  • 37.1. Framework Architecture
  • 37.2. Request-Response flow
• 38. Database
  • 38.1. Database schema migration
  • 38.2. Makemigrations
  • 38.3. Migrate
  • 38.4. Management commands
  • 38.5. dbshell
  • 38.6. dumpdata
  • 38.7. loaddata
  • 38.8. inspectdb
  • 38.9. makemigrations
  • 38.10. migrate
  • 38.11. Sqlite3
  • 38.12. PostgreSQL
  • 38.13. Heroku
  • 38.14. Fixtures
  • 38.15. Multiple DB and db routing
• 39. Cache
• 40. Signals
  • 40.1. Available signals
  • 40.2. Model signals
  • 40.3. M2m relations
  • 40.4. Migrations
  • 40.5. Request
  • 40.6. Test
  • 40.7. Database
  • 40.8. Examples
• 41. REST
  • 41.1. RESTful Views
  • 41.2. python -m json.tool
  • 41.3. django-rest-framework
  • 41.4. django-rest-swagger
• 42. Auth and Permissions
  • 42.1. Basic Auth
  • 42.2. Require Permissions
• 43. API CORS
• 44. Tests and quality
  • 44.1. Tests
  • 44.2. Test URLs
  • 44.3. SonarQube
  • 44.4. Debug Toolbar
• 45. Tests
• 46. CI/CD - Continuous Integration and Deployment
  • 46.1. Bitbucket Pipelines
  • 46.2. Travis
• 47. Deployment
  • 47.1. Deployment platforms
  • 47.2. Apache + mod_wsgi
  • 47.3. Nginx + uwsgi
  • 47.4. Gunicorn
  • 47.5. Vagrant + Puppet
  • 47.6. Docker + Gunicorn
  • 47.7. Heroku
  • 47.8. Packaging
  • 47.9. setup.py
  • 47.10. Manifest.in
  • 47.11. Staticfiles serving

FastAPI

FastAPI

• 1. About
  • 1.1. Introduction
  • 1.2. Install
  • 1.3. Architecture
• 2. HTTP
  • 2.1. HTTP Protocol
  • 2.2. HTTP URL
  • 2.3. HTTP Methods
  • 2.4. HTTP Headers
  • 2.5. MIME types
  • 2.6. HTTP Statuses
  • 2.7. API Versioning
• 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. SOAP and WSDL
  • 3.21. Asynchronous processing
• 4. API
  • 4.1. About
  • 4.2. Schema
  • 4.3. Documentation
  • 4.4. GET
  • 4.5. POST
  • 4.6. Status
  • 4.7. Cookies
  • 4.8. Headers
  • 4.9. Files
  • 4.10. Middleware
  • 4.11. WebSockets
  • 4.12. Test
  • 4.13. Background Tasks
• 5. Database
  • 5.1. SQLAlchemy ORM
  • 5.2. Auth
  • 5.3. Relationship
• 6. Auth
  • 6.1. OAuth2
  • 6.2. Basic Auth
  • 6.3. JSON Web Token
• 7. DevOps
  • 7.1. Docker
• 8. Microservices
  • 8.1. Reactive
  • 8.2. Microservices
  • 8.3. Introduction

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

Other

Other

• Tkinter
• Database API
• Database MySQL
• Database PostgreSQL
• Database MongoDB
• Database ORM
• Database Schema Migration
• Database Exploration
• XML Stdlib
• XML Module lxml
• XML Parsing HTML
• XPATH
• XSLT
• Assignments
• Builtin Functions
• Builtin Keywords
• Operator Library
• Builtin Printing
• Comprehensions Nesting
• Loop else

Blogposts

Blogposts

• 1. Machine Learning Introduction

Dragon

Dragon

• 1. Dragon (version alpha)
• 2. Dragon (version beta)
• 3. Dragon (version release candidate)

Appendixes

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