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The Python Workshop
最新章節(jié)：
11. Machine Learning
YoualreadyknowyouwanttolearnPython,andasmarterwaytolearnPython3istolearnbydoing.ThePythonWorkshopfocusesonbuildingupyourpracticalskillssothatyoucanworktowardsbuildingupyourmachinelearningskillsasadatascientist,writescriptsthathelpautomateyourlifeandsaveyoutime,orevencreateyourowngamesanddesktopapplications.You'lllearnfromrealexamplesthatleadtorealresults.ThroughoutThePythonWorkshop,you'lltakeanengagingstep-by-stepapproachtounderstandingPython.Youwon'thavetositthroughanyunnecessarytheory.Ifyou'reshortontimeyoucanjumpintoasingleexerciseeachdayorspendanentireweekendlearningaboutPythonscripting.It'syourchoice.Learningonyourterms,you'llbuildupandreinforcekeyskillsinawaythatfeelsrewarding.EveryphysicalprintcopyofThePythonWorkshopunlocksaccesstotheinteractiveedition.Withvideosdetailingallexercisesandactivities,you'llalwayshaveaguidedsolution.Youcanalsobenchmarkyourselfagainstassessments,trackprogress,andreceivefreecontentupdates.You'llevenearnasecurecredentialthatyoucanshareandverifyonlineuponcompletion.It'sapremiumlearningexperiencethat'sincludedwithyourprintedcopy.Toredeem,followtheinstructionslocatedatthestartofyourPythonbook.Fast-pacedanddirect,ThePythonWorkshopistheidealcompanionforPythonbeginners.You'llbuildanditerateonyourcodelikeasoftwaredeveloper,learningalongtheway.Thisprocessmeansthatyou'llfindthatyournewskillsstick,embeddedasbestpractice.Asolidfoundationfortheyearsahead.
目錄(124章)
倒序
- 封面
- 版權(quán)頁
- Preface
- About the Book
- 1. Vital Python – Math Strings Conditionals and Loops
- Introduction
- Vital Python
- Numbers: Operations Types and Variables
- Python as a Calculator
- Strings: Concatenation Methods and input()
- String Interpolation
- String Indexing and Slicing
- Slicing
- Booleans and Conditionals
- Loops
- Summary
- 2. Python Structures
- Introduction
- The Power of Lists
- Matrix Operations
- List Methods
- Dictionary Keys and Values
- Dictionary Methods
- Tuples
- A Survey of Sets
- Choosing Types
- Summary
- 3. Executing Python – Programs Algorithms and Functions
- Introduction
- Python Scripts and Modules
- Python Algorithms
- Basic Functions
- Iterative Functions
- Recursive Functions
- Dynamic Programming
- Helper Functions
- Variable Scope
- Lambda Functions
- Summary
- 4. Extending Python Files Errors and Graphs
- Introduction
- Reading Files
- Writing Files
- Preparing for Debugging (Defensive Code)
- Plotting Techniques
- The Don'ts of Plotting Graphs
- Summary
- 5. Constructing Python – Classes and Methods
- Introduction
- Classes and Objects
- Defining Classes
- The __init__ method
- Methods
- Properties
- Inheritance
- Summary
- 6. The Standard Library
- Introduction
- The Importance of the Standard Library
- Dates and Times
- Interacting with the OS
- Using the subprocess Module
- Logging
- Collections
- Functools
- Summary
- 7. Becoming Pythonic
- Introduction
- Using List Comprehensions
- Set and Dictionary Comprehensions
- Default Dictionary
- Iterators
- Itertools
- Generators
- Regular Expressions
- Summary
- 8. Software Development
- Introduction
- Debugging
- Automated Testing
- Creating a PIP Package
- Creating Documentation the Easy Way
- Source Management
- Summary
- 9. Practical Python – Advanced Topics
- Introduction
- Developing Collaboratively
- Dependency Management
- Deploying Code into Production
- Multiprocessing
- Parsing Command-Line Arguments in Scripts
- Performance and Profiling
- Profiling
- Summary
- 10. Data Analytics with pandas and NumPy
- Introduction
- NumPy and Basic Stats
- Matrices
- The pandas Library
- Data
- Null Values
- Visual Analysis
- Summary
- 11. Machine Learning
- Introduction
- Introduction to Linear Regression
- Cross-Validation
- Regularization: Ridge and Lasso
- K-Nearest Neighbors Decision Trees and Random Forests
- Classification Models
- Boosting Methods
- Summary
- Appendix
- 1. Vital Python – Math Strings Conditionals and Loops
- 2. Python Structures
- 3. Executing Python – Programs Algorithms Functions
- 4. Extending Python Files Errors and Graphs
- 5. Constructing Python – Classes and Methods
- 6. The Standard Library
- 7. Becoming Pythonic
- 8. Software Development
- 9. Practical Python – Advanced Topics
- 10. Data Analytics with pandas and NumPy
- 11. Machine Learning 更新時(shí)間：2021-06-11 12:51:58
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