This book may give you: Python For 3D Printing Technology: Programming Languages For Beginners Python Multiline Comment: Different Programming Languages Python Tutor: Introduction To Programming Languages
Author: Luna Quirarte
Python is quickly becoming the world's most popular programming language, for everything from quick-and-easy hobbyist calculations to running some of the biggest online websites such as Google, YouTube, Dropbox, Reddit, etc. This book may give you: Python For 3D Printing Technology: Programming Languages For Beginners Python Multiline Comment: Different Programming Languages Python Tutor: Introduction To Programming Languages
Python uses two types of comments: single-line comment and multiline comments. 2.9.1 Single Line Comment In Python, use the hash (#) symbol to start writing a comment. Hash (#) symbol makes all text following it on the same line into a ...
Author: Gowrishankar S
Publisher: CRC Press
Introduction to Python Programming is written for students who are beginners in the field of computer programming. This book presents an intuitive approach to the concepts of Python Programming for students. This book differs from traditional texts not only in its philosophy but also in its overall focus, level of activities, development of topics, and attention to programming details. The contents of the book are chosen with utmost care after analyzing the syllabus for Python course prescribed by various top universities in USA, Europe, and Asia. Since the prerequisite know-how varies significantly from student to student, the book’s overall overture addresses the challenges of teaching and learning of students which is fine-tuned by the authors’ experience with large sections of students. This book uses natural language expressions instead of the traditional shortened words of the programming world. This book has been written with the goal to provide students with a textbook that can be easily understood and to make a connection between what students are learning and how they may apply that knowledge. Features of this book This book does not assume any previous programming experience, although of course, any exposure to other programming languages is useful This book introduces all of the key concepts of Python programming language with helpful illustrations Programming examples are presented in a clear and consistent manner Each line of code is numbered and explained in detail Use of f-strings throughout the book Hundreds of real-world examples are included and they come from fields such as entertainment, sports, music and environmental studies Students can periodically check their progress with in-chapter quizzes that appear in all chapters
Although Python doesn't have a dedicated syntax for multiline comments , a triple - quotes multiline string can serve as one . After all , a string value by itself doesn't cause the Python interpreter to do anything .
Author: Al Sweigart
Publisher: No Starch Press
BRIDGE THE GAP BETWEEN NOVICE AND PROFESSIONAL You've completed a basic Python programming tutorial or finished Al Sweigart's bestseller, Automate the Boring Stuff with Python. What's the next step toward becoming a capable, confident software developer? Welcome to Beyond the Basic Stuff with Python. More than a mere collection of advanced syntax and masterful tips for writing clean code, you'll learn how to advance your Python programming skills by using the command line and other professional tools like code formatters, type checkers, linters, and version control. Sweigart takes you through best practices for setting up your development environment, naming variables, and improving readability, then tackles documentation, organization and performance measurement, as well as object-oriented design and the Big-O algorithm analysis commonly used in coding interviews. The skills you learn will boost your ability to program--not just in Python but in any language. You'll learn: • Coding style, and how to use Python's Black auto-formatting tool for cleaner code • Common sources of bugs, and how to detect them with static analyzers • How to structure the files in your code projects with the Cookiecutter template tool • Functional programming techniques like lambda and higher-order functions • How to profile the speed of your code with Python's built-in timeit and cProfile modules • The computer science behind Big-O algorithm analysis • How to make your comments and docstrings informative, and how often to write them • How to create classes in object-oriented programming, and why they're used to organize code Toward the end of the book you'll read a detailed source-code breakdown of two classic command-line games, the Tower of Hanoi (a logic puzzle) and Four-in-a-Row (a two-player tile-dropping game), and a breakdown of how their code follows the book's best practices. You'll test your skills by implementing the program yourself. Of course, no single book can make you a professional software developer. But Beyond the Basic Stuff with Python will get you further down that path and make you a better programmer, as you learn to write readable code that's easy to debug and perfectly Pythonic Requirements: Covers Python 3.6 and higher
Python uses two types of comments: single-line commentand multiline comments. 1.8.1. Single Line Comment In Python, use the hash (#) symbol to start writing a comment. Hash (#) symbol makes alltext following it on the same line into a ...
Author: Aditya Tandon
Publisher: Book Bazooka Publication
This book introduces you to Python. It is object-oriented language used for both standalone programs and scripting applications in variety of domains. This book helps to easily understand the concepts, revision-at-a-glance, pictorial outputs and MCQs and review questions at the end of each unit helps recapitulating the topics. Whether you’re new to programming or professional developer, the goal is bringing you up to speed on core Python language in hurry.
This is multiline comment. # print("Python") [ ] multiline [ ] comment. [ ] Python [X] SyntaxError: invalid syntax Explanation: https://www.python.org/dev/peps/pep-0008/#block-comments Block Comments Block comments generally apply to ...
Author: Jeremias Lacanienta
Publisher: Jeremias Lacanienta
PCEP – Certified Entry-Level Python Programmer Certification is a comprehensive mock exam with emphasis on using the PCEP 30-01 Syllabus as guide on the question topic. The audience should be at least a beginner Python programmer or have a good grasp on programming because this is not a tutorial. All questions are tested and have undergone quality control. All questions are based on individual topics and all topics have been covered. Some of the topics may not be thoroughly covered but each and every topic in the syllabus have a corresponding question with sufficient representation. Exam block #1: Basic Concepts Objectives covered by the block (9 exam items) fundamental concepts: interpreting and the interpreter, compilation and the compiler, language elements, lexis, syntax and semantics, Python keywords, instructions, indenting literals: Boolean, integer, floating-point numbers, scientific notation, strings comments the print() function the input() function numeral systems (binary, octal, decimal, hexadecimal) numeric operators: ** * / % // + – string operators: * + assignments and shortcut operators Exam block #2: Data Types, Evaluations, and Basic I/O Operations Objectives covered by the block (11 exam items) operators: unary and binary, priorities and binding bitwise operators: ~ & ^ | << >> Boolean operators: not and or Boolean expressions relational operators ( == != > >= < <= ), building complex Boolean expressions accuracy of floating-point numbers basic input and output operations using the input(), print(), int(), float(), str(), len() functions formatting print() output with end= and sep= arguments type casting basic calculations simple strings: constructing, assigning, indexing, immutability Exam block #3: Control Flow – loops and conditional blocks Objectives covered by the block (8 exam items) conditional statements: if, if-else, if-elif, if-elif-else multiple conditional statements the pass instruction building loops: while, for, range(), in iterating through sequences expanding loops: while-else, for-else nesting loops and conditional statements controlling loop execution: break, continue Exam block #4: Data Collections – Lists, Tuples, and Dictionaries Objectives covered by the block (7 exam items) simple lists: constructing vectors, indexing and slicing, the len() function lists in detail: indexing, slicing, basic methods (append(), insert(), index()) and functions (len(), sorted(), etc.), del instruction, iterating lists with the for loop, initializing, in and not in operators, list comprehension, copying and cloning lists in lists: matrices and cubes tuples: indexing, slicing, building, immutability tuples vs. lists: similarities and differences, lists inside tuples and tuples inside lists dictionaries: building, indexing, adding and removing keys, iterating through dictionaries as well as their keys and values, checking key existence, keys(), items() and values() methods strings in detail: escaping using the \ character, quotes and apostrophes inside strings, multi-line strings, basic string functions. Exam block #5: Functions Objectives covered by the block (9 exam items) defining and invoking your own functions and generators return and yield keywords, returning results, the None keyword, recursion parameters vs. arguments, positional keyword and mixed argument passing, default parameter values converting generator objects into lists using the list() function name scopes, name hiding (shadowing), the global keyword Questions in the Practice tests are much more difficult than what is included in the Certified Entry-Level Python Programmer Certification. I recommend doing hands-on to test the validity of the answers and emphasize on the importance of coding different permutations and combinations on the examples given. All questions are self-explanatory and it will be easier to understand if the code is run on IDLE or the user's preferred Python IDE.
Single line comment: Any characters followed by the # (hash) and up to the end of the line are considered as part of the comment and the Python interpreter ignores them. Multiline comments: Any characters between the strings ...
Author: Manohar Swamynathan
Explore fundamental to advanced Python 3 topics in six steps, all designed to make you a worthy practitioner. This updated version’s approach is based on the “six degrees of separation” theory, which states that everyone and everything is a maximum of six steps away and presents each topic in two parts: theoretical concepts and practical implementation using suitable Python 3 packages. You’ll start with the fundamentals of Python 3 programming language, machine learning history, evolution, and the system development frameworks. Key data mining/analysis concepts, such as exploratory analysis, feature dimension reduction, regressions, time series forecasting and their efficient implementation in Scikit-learn are covered as well. You’ll also learn commonly used model diagnostic and tuning techniques. These include optimal probability cutoff point for class creation, variance, bias, bagging, boosting, ensemble voting, grid search, random search, Bayesian optimization, and the noise reduction technique for IoT data. Finally, you’ll review advanced text mining techniques, recommender systems, neural networks, deep learning, reinforcement learning techniques and their implementation. All the code presented in the book will be available in the form of iPython notebooks to enable you to try out these examples and extend them to your advantage. What You'll Learn Understand machine learning development and frameworks Assess model diagnosis and tuning in machine learning Examine text mining, natuarl language processing (NLP), and recommender systems Review reinforcement learning and CNN Who This Book Is For Python developers, data engineers, and machine learning engineers looking to expand their knowledge or career into machine learning area.
You typically use a single-line comment for short descriptive text, such as an explanation of a particular bit of code. When you need to create a longer comment, you use a multiline comment. A multiline comment both starts and ends with ...
Author: John Paul Mueller
Publisher: John Wiley & Sons
Learn Python—the fun and easy way—and get in the programming game today! Python is one of the fastest growing programming languages, and no wonder. It requires three to five times less time than developing in Java, is a great building block for learning both procedural and object-oriented programming concepts, and is an ideal language for data analysis. Beginning Programming with Python For Dummies is the perfect guide to this dynamic and powerful programming language—even if you've never coded before! Author John Paul Mueller draws on his vast programming knowledge and experience to guide you step-by-step through the syntax and logic of programming with Python and provides several real-world programming examples to give you hands-on experience trying out what you've learned. Provides a solid understanding of basic computer programming concepts and helps familiarize you with syntax and logic Explains the fundamentals of procedural and object-oriented programming Shows how Python is being used for data analysis and other applications Includes short, practical programming samples to apply your skills to real-world programming scenarios Whether you've never written a line of code or are just trying to pick up Python, there's nothing to fear with the fun and friendly Beginning Programming with Python For Dummies leading the way.
In Python, only singleline comments that are made using “#” are accepted. And if you need to make a multiline comment, you should declare any symbol like declaring a variable in a function and call the function for entering plain text ...
Author: Sufyan bin Uzayr
Publisher: CRC Press
Python for Web Python definitely tops the charts when it comes to ease of use and beginner-friendly learning curve in the world of programming languages. At the same time, Python is essential when it comes to writing system scripts, processing big data, performing mathematical computations, creating web applications, and rapid prototyping. With this Mastering edition, we have focused especially on the usage of Python for Web. This book explores Python programming fundamentals with interactive projects and introduces core coding concepts and the basics of Python-based web development. The reader should be ready to dive deep into the world of Python for web development in no time. Since Python positions itself in web development as a back-end language, it is usually mixed with another front-end language to build a whole website. At the same time, reasons for using Python in web development are many: it is a flexible, versatile, and highly efficient programming language with dynamic typing capacity. This book helps readers to examine Python’s key back-end/front-end programming techniques and guides them through implementing them when creating professional projects. Furthermore, it also focuses on teaching readers how to solve common problems and developing web services with Python frameworks such as Django and Flask. Mastering Python for Web has a goal more ambitious than simply teaching you the ropes – it aims to help you embrace and master problem solving, which could be viewed as the single most crucial skill for a coder. It offers you a focal point on starting as a beginner and growing into an expert by putting your newly acquired knowledge into practice. Programming is a hands-on skill, and this particular book helps you put your skills to test with easy-to-grasp tasks and examples. Learn more about our other Mastering titles at: https://www.routledge.com/Mastering-Computer-Science/book-series/MCS
Author: Dr. Krishna Kumar MohbeyPublish On: 2021-08-26
Comments do not execute, or it is free from execution. Comments start with a # symbol, and it can be placed at the end of a line. There are two types of comments in Python. These are: Single line comments Multiline comments ...
Author: Dr. Krishna Kumar Mohbey
Publisher: BPB Publications
step-by-step approach to Python programming with machine learning fundamental and theoretical principles. KEY FEATURES ● Introduces readers to Python programming in a very simple way. ● Extensive practical demonstration of Python concepts using numerous examples. ● Implementation of machine learning in Python using hands-on techniques. DESCRIPTION The book ‘Introduction to Python Programming: A Practical Approach’ lays out a path for readers who want to pursue a career in the field of computer software development. It covers the fundamentals of Python programming as well as machine learning principles. Students will benefit from the examples that are included with each concept, which will aid them in understanding the concept. This book provides a practical understanding of Python programming using numerous programs and examples. It also develops problem-solving and code-writing abilities for the readers. This book covers Python fundamentals, operators, and data structures such as strings, lists, dictionaries, and tuples. It also contains information on file and exception handling. The implementation of a machine learning model has also been included in this book. With the help of this book, students and programmers can improve their programming skills as well as their ability to sprint towards a rewarding career. WHAT YOU WILL LEARN ● Learn Python concepts, operators, and data structures. ● Learn the properties and operations of lists, tuples, and dictionaries. ● Write Python code to solve specific issues. ● Write Python code to handle disk files and exceptions. ● Work with OOPS properties like classes, objects, constructors, inheritance, and polymorphism. ● Use machine learning for classification, regression, prediction, and clustering. WHO THIS BOOK IS FOR This book is intended for current and aspiring emerging technology professionals, students, and anyone else who wishes to better understand the Python programming language and machine learning concepts. TABLE OF CONTENTS 1. Chapter 1: Basics of Python Programming 2. Chapter 2: Operators and Expressions 3. Chapter 3: Control Flow Statements 4. Chapter 4: Functions 5. Chapter 5: Strings 6. Chapter 6: Lists 7. Chapter 7: Tuple 8. Chapter 8: Dictionaries 9. Chapter 9: File Handling 10. Chapter 10: Exception Handling, Modules, and Packages 11. Chapter 11: Object-oriented Programming 12. Chapter 12: Machine Learning with Python 13. Chapter 13: Clustering with Python
Hi Little Python Multi-Line Comment Python doesn't offer a separate way to write multiline comments. We can use # at the beginning of each line of comment on multiple lines. Example: #Multiple comment #is used to write #multiline ...
Author: Saurav Sau
Publisher: Sun Education
This book is designed for beginners and experts. ****** Table of Content ****** 1. Introduction 2. Python Variable 3. Python Data Type 4.Python Operator 5. Python if-else 6. Python Loops 7. Python String 8. Python List 9. Python Tuples 10. Python Function And many more....