Test Your Skills In Python Language

Description:This book gives you an opportunity to check your proficiency in Python by answering the questions in this book. The Programs / commands presented in this book are executed using Python version 3.5.2. The questions are categorized based on various facts of programming in python. The aim is to cover the topics in depth. Detailed explanation of each question helps even a novice learner.Salient features -More than 400 questions for testing skills in Python -Topics covered in sequence for novice readers -Getting started section gives a good start and overview -Questions are represented topic-wise so that a Python programmer can directly go for t--Testing a particular topic -Multiple choice questions with True/False options also -Questions based on output help to learn the programming skills and various in-built functions in Python-Better understanding through detailed explanation -Solved Model test papers help to learn theory questionsTable of Contents:Chapter 1 : Input -OutputChapter 2 : Operators and ExpressionsChapter 3 : Decision Control statementsChapter 4 : FunctionsChapter 5 : LoopsChapter 6 : ListsChapter 7 : StringsChapter 8 : Sets and DictionariesChapter 9 : TuplesChapter 10 : ClassesChapter 11 : FilesChapter 12 : GraphicsChapter 13 : In-built functionsChapter 14 : MiscellaneousAppendix A: Python keywords and their useAppendix B: Operators in Python and their precedence Appendix C: Libraries in Python and common functionsBibliographyModel Test Paper 1 (Solved)Model Test Paper 2 (Solved)Model Test Paper 3 (Unsolved)Model Test Paper 4 (Unsolved)

Giving you an opportunity to check your proficiency in Python, this book provides more than 400 questions with detailed explanations that are represented by topic so that a Python programmer can go directly to testing a particular skill. --

Best learning Scroll for Python KEY FEATURES ● 16 chapters covering basic (loops) to advanced (NumPy) topics in Python. ● Focus on one topic per chapter to help learners understand topics in depth. ● Key points from Theory highlighted in each chapter for better retention. ● More than 1000 questions that give ample opportunity for practice. ● 7 Model test papers for learners to test their progress. DESCRIPTION This book contains to-the-point theory followed by questions about programming skills in Python. It provides an active and structured way of learning Python. The readers can test their learning by attempting MCQs, True/False questions, and questions about finding the output in a code, identifying the error and much more. The explanations of the answers provide detailed information about the concepts tested. All topics in Python are divided into 16 chapters in this book. These includes Syntax, Input-output, Data types, Strings, Operators and Expressions, Decision Control Statements, Loops, Functions, Lists, Dictionaries, Sets, Tuples, Classes, Files, Graphics, Arrays and Databases. More than 1000 questions are included for all the topics. WHAT YOU WILL LEARN ● Syntax of writing Python programs. ● All possible errors encountered while programming in Python. ● Execution of different constructs in detail. ● Handling graphics and databases in Python. ● Using Arrays in Python. ● Handling programs and files in Python. WHO THIS BOOK IS FOR This book is meant for the students of Undergraduate, postgraduate level and for the beginners in Python. TABLE OF CONTENTS 1. Syntax and Input–Output 2. Data types 3. Strings 4. Operators and Expressions 5. Decision Control statements 6. Loops 7. User- Defined Functions 8. Lists 9. Dictionaries 10. Sets 11. Tuples 12. Classes 13. Files 14. Graphics 15. Arrays (NumPy) 16. Databases Appendix A: Python keywords and their use Appendix B: Operators in Python and their precedence Appendix C: Libraries in Python and common functions Bibliography Model Test Paper 1 (Solved) Model Test Paper 2 (Solved) Model Test Paper 3 (Solved) Model Test Paper 4 (Solved) Model Test Paper 5 (Solved) Model Test Paper 6 (Solved) Model Test Paper 7 (Unsolved)

Dive into the fundamentals of Python programming with this beginner-friendly coding course that prepares you for the OpenEDG Python Institute PCEP™ – Certified Entry-Level Python Programmer certification exam! Are you ready to take your career to the next level? Do you want to be a professional programmer and make money from programming? Do you want to automate all those boring tasks that take so much of your time everyday? With Python Essentials 1, you can get your foot in the door to a career as a professional programmer, and after finishing this course, you will be ready to take the PCEP™ – Certified Entry-Level Python Programmer certification exam, the entry-level Python exam trusted by millions of people worldwide. Learn the basics of the #1 programming language in the world in as little as seven days. Learn fast and gain confidence, and with a few minutes practice everyday, you will master the Python programming language in next to no time at all! Here are just some of the things you will learn in this beginner Python programming course: – How a computer program works – How computer logic works – The history of the Python language and its creator, Guido van Rossum – How to set up your computer with Python – How the Python language, as well as many other programming languages, is set up – How to use Python to automate simple tasks – How to work with variables, literals, and operators – Professional best practices for working with Python – How to make programs interact with the user – How to make even more complex programs using conditional statements – How to loop your code – How to use Python in the real world The official OpenEDG Python Institute Python Essentials 1 course contains the following: – Four Modules – 23 Chapters – 30 Lab exercises with hints and sample solutions – 18 Quizzes to test your knowledge and understanding – Full preparation to pass the PCEP™ – Certified Entry-Level Python Programmer certification exam If you want to become a professional Python programmer, then order your copy of Python Essentials 1 from the OpenEDG Python Institute today!

Python Programming is designed as a textbook to fulfil the requirements of the first-level course in Python programming. It is suited for undergraduate degree students of computer science engineering, IT as well as computer applications. This book will enable students to apply the Python programming concepts in solving real-world problems. The book begins with an introduction to computers, problem solving approaches, programming languages, object oriented programming, and Python programming. Separate chapters dealing with the important constructs of Python language such as control statements, functions, strings, files, data structures, classes and objects, inheritance, operator overloading, and exceptions are provided in the book.

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

Break into the lucrative field of programming and kickstart your coding career with this comprehensive guide to Python programming for beginners! Do you want to learn how to code, but have no idea where to begin? Do you want to prepare yourself to stay relevant with useful skills that will make you indispensable in a fast-changing world? Do you want to learn how to build useful software applications and wrangle data to provide useful insights to companies and businesses? If you answered yes to these questions, then you've come to the right place. In this guide, Van Evans skips the fluff and shows you everything you need to become a Python ninja and develop in-demand Python skills that will help you become a better programmer and equip you with the skills you need. Here's a small fraction of what you're going to learn in Python Programming All you need to know about the Python programming language as a complete beginner Why Python is the best way to get started with coding if you're new to the world of programming 6 reasons you should choose Python as your first or next programming language How to get started with data science and analytics with Python's open-source tools and libraries Step-by-step instructions to install and set up Python MacOS, Windows and Linux Everything you need to know about working with dictionaries and lists in Python The different Python data types and clear, beginner-friendly explanations to help you understand each one What Python variables are and why they're important if you want to write clean, effective code How to test your own code to ensure it's error and bug-free ...and more! Specifically crafted and designed for beginners, this guide will hand you all everything you need to become a proficient Python programmer and get you started on your way to mastering one of the world's most powerful, future-proof and versatile programming languages in as little time as possible. Ready to get started on your coding journey? Scroll to the top of the page and click the "Buy Now" button to purchase your copy today!

Developers power their projects with Python because it emphasizes readability, ease of use, and access to a meticulously maintained set of packages and tools. The language itself continues to improve with every release: writing in Python is full of possibility. But to maintain a successful Python project, you need to know more than just the language. You need tooling and instincts to help you make the most out of what's available to you. Use this book as your guide to help you hone your skills and sculpt a Python project that can stand the test of time. No matter your experience level or background, Python's batteries-included standard library and rich third-party ecosystem provide a solid foundation to build your projects on. With the right intuition and background knowledge, you can take advantage of all the power Python offers. Take a guided tour of some of Python's high points to craft a project that you can sustain and build on for a long time. Run static analysis tools to detect and eliminate classes of bugs before you run code. Experiment with Python's concurrency model and develop patterns for using Python's thread and process abstractions to their full potential. Introduce yourself to Python's type hinting system: mypy. Download and run third-party Python packages and do so safely without compromising on security. Debug code using Python's built in debugger, and try procedures out in the interactive console. Run your code under new versions of the Python interpreter to unlock performance and usability improvements. All along the way, sharpen your Python instincts so you can keep your code clean and reduce the chance of bugs. Mine Python for all you can by playing to its strengths and embracing patterns that harness its potential. What You Need: The books assumes you have some experience programming in any language (not necessarily Python). To run the code presented in the book, you'll need a Python environment which you can download from https: //www.python.org/downloads/.