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This lecture note covering basic to advanced concepts of python ,program execution, arithmetic, variables and functions. It also explores turtle module case studies, conditionals, recursion, functions, iteration, strings, and lists with a focus on algorithms, dictionaries, tuples, file handling, and basic object-oriented programming, classes, functions, inheritance, and advanced Python features.
Author(s): S Venkata Lakshmi
187 Pages
Extremely versatile and popular among developers, Python is a good general-purpose language that can be used in a variety of applications. If you use the book in the order it is laid out, you’ll begin your exploration in Python by understanding the key differences between Python 3 and the previous versions of the language. The contents include :Python 2 vs Python 3: Practical Considerations, How To Install Python 3 and Set Up a Local Programming, Environment on Ubuntu 16.04, How To Install Python 3 and Set Up a Local Programming, Environment on macOS, How To Install Python 3 and Set Up a Local Programming, Environment on Windows 10, How To Install Python 3 and Set Up a Local Programming, Environment on CentOS 7, How To Install Python 3 and Set Up a Programming Environment on an Ubuntu 16.04 Server, How To Write Your First Python 3 Program, How To Work with the Python Interactive Console, How To Write Comments, Understanding Data Types, An Introduction to Working with Strings, How To Format Text, String Functions, How To Index and Slice Strings, How To Convert Data Types, Variables, String Formatters, How To Do Math with Operators, Built-in Python 3,Functions for Working with Numbers, Understanding Boolean Logic, Understanding Lists, List Methods, Understanding List Comprehensions, Understanding Tuples, Understanding Dictionaries, How To Import Modules, How To Write Modules, How To Write Conditional Statements, How To Construct While Loops, How To Construct For Loops, How To Use Break, Continue, and Pass Statements when Working with Loops, Construct Classes and Define Objects, Understanding Class and Instance Variables, Understanding Inheritance, How To Apply Polymorphism to Classes, How To Use the Python Debugger, How To Debug Python with an Interactive Console, How To Use Logging, Port Python 2 Code to Python 3.
Author(s): Lisa Tagliaferri, DigitalOcean, New York City, New York, USA
459 Pages
Python Machine Learning Projects
The contents include : Foreword, Setting Up a Python Programming Environment, An Introduction to Machine Learning, How To Build a Machine Learning Classifier in Python with Scikit-learn, How To Build a Neural Network to Recognize Handwritten Digits with TensorFlow, Bias-Variance for Deep Reinforcement Learning: How To Build a Bot for Atari with OpenAI Gym.
Author(s): Lisa Tagliaferri, Michelle Morales, Ellie Birbeck, and Alvin Wan
135 Pages
This note covers the following topics: Python syntax, Control flow, Functions, Odds and ends,Object-oriented programming, Exception handling,Type checking, Exception handling, main differences between Python 2.x and Python 3.x, Recursion, Functional programming, Command-line arguments, Generator.
Author(s): Mike Vanier
NA Pages
Lecture Notes On Object Oriented Programming Through Python
This note describes the following topics: Introduction to Python and Object Oriented Concepts, Python Classes and Objects, Strings and Functions, Exception Handling, Graphical User Interface.
Author(s): Mr. M Purushotham Reddy and Mrs. A Lakshmi
119 Pages
Introduction to Python Programming by James Cussens
This note explains the following topics: Variables, expressions and statements, Functions, conditionals and recursion, Fruitful functions and iteration, Strings and lists, Tuples and dictionaries, Files and exceptions, Classes and objects, Class methods and composition, Inheritance.
Author(s): James Cussens
NA Pages
Introduction to Computer Science and Programming in Python
Introduction to Computer Science and Programming in Python is intended for students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals.
Author(s): Dr. Ana Bell, Prof. Eric Grimson and Prof. John Guttag
NA Pages
This note covers the following topics: Native Datatypes, Comprehensions, Strings, Regular Expressions, Installing Python, Closures and Generators, Classes and Iterators, Advanced Iterators, Unit Testing, Refactoring, Files, XML, Serializing Python Objects, HTTP Web Services, Case Study: Porting chardet to Python 3, Packaging Python Libraries, Porting Code to Python 3 with 2to3 and Special Method Names.
Author(s): Mark Pilgrim
NA Pages
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Learning to Program in Python (Alan Gauld)
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