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Programming Concepts in Python is one in a series of books that introduce the basic concepts of computer programming, using a selected programming language. Other books in the series use languages like C++ and Java, but all focus on concepts and not on any particular language. The presentation of the material is the same in each language, and much of the text is identical. Code samples are specific to the selected language, and some unique language features are unavoidably included, but the presentation is largely language-independent. A unique feature of the book is that it explains how to acquire, install, and use freely available software to edit, compile, and run console programs on just about any system, including Windows and Mac. Its examples use command line compiling, so that the presentation remains focused on programming concepts and avoids becoming a training tool for a specific IDE. The three-part organization of material starts with the basics of sequential processing, then adds branching and looping logic and subprograms, and ends with arrays and objects. It turns a beginner with no programming experience into a programmer, prepared to continue their training in Python or just about any other specific programming language.
Learn a Programmer-Friendly language KEY FEATURES Strengthens the foundations, as a detailed explanation of programming language concepts are given in a simple manner Lists down all the important points that you need to know related to various topics in an organized manner Prepares you for coding related interview and theoretical questions Provides an in-depth explanation of complex topics and Questions It focuses on how to think logically to solve a problem Follows a systematic approach that will help you to prepare for an interview in a short duration of time Exercises are exceptionally useful to complete the reader’s understanding of a topic DESCRIPTION Book will come as a relief to the students wishing to go through a comprehensive work explaining the programming concepts of Python. Examples are given with proper description, offering a variety of practical examples and conceptual problems along with their systematically worked out solutions. It also covers all the concepts which are helpful for the students and beginners to learn the basics of Python programming. WHAT WILL YOU LEARN This book is written, taking into consideration the skills required at the beginner level for understanding Python Programming Concepts. The book covers the practical examples of Python in an easy way so that students can able to understand efficiently. WHO THIS BOOK IS FOR Book promises to be a perfect starting point for beginners and an asset for those having insight towards programming. Table of Contents 1. Introduction 2. Conditions and Loops 3. Arrays and Functions 4. Lists, Tuples, Iterators and GeneratorsDictionaries and Modules 5. File Handling and Databases 6. Object-Oriented Programming 7. Regular Expressions, Date, and Time 8. Exception Handling 9. Practice Exercise
This book is suitable for use in a university-level first course in computing (CS1), as well as the increasingly popular course known as CS0. It is difficult for many students to master basic concepts in computer science and programming. A large portion of the confusion can be blamed on the complexity of the tools and materials that are traditionally used to teach CS1 and CS2. This textbook was written with a single overarching goal: to present the core concepts of computer science as simply as possible without being simplistic.
DESCRIPTION In the last few years, python gained popularity and became the first choice of the students, teachers as well as professionals. It is being used in different fields such as education, software development, website development and also in various advanced research. In the field of education it allows students to learn the programming language in an easier and efficient manner. In the information technology field it can be used as a language for creating softwares as well as for web developments. It can be integrated with different platforms like Django. In research, Python programming can be used in simulation or it can be used for machine learning techniques. The primary goal of this text is to create a pedagogically sound and accessible textbook that emphasises on core concepts of Python programming. The book contains lots of practical examples to show the working of a particular code construct. The book can be very helpful in order to learn the basic and advance concepts of python programming. In the beginning of the book the focus is on the basic concepts related to core python programming starting from the installation phase of python interpreter to building the concepts for the reader towards python programming. Then the book moves towards the concept of different statements and programming conditions that python programming can handle in an easier manner. It then moves to the concepts related to object oriented programming and at last the reader will get to know about the database connectivity with the python program. KEY FEATURES Acquire basic concepts related to python programming Understand the core functionalities of Python Programming Provide the information regarding idle IDE Computational Problem solving in Python Object oriented concepts in Python Database connectivity with Python WHAT WILL YOU LEARN You can learn the core concept related to python programming You will get to learn how to program in python You can learn how Python programming helps to solve computational problems By reading this book you can learn how to work with python You will get familiarity with the python programming concepts. You will learn how to operate idle IDE and how it can be used to write python program in easier way. WHO THIS BOOK IS FOR The book is intended for anyone who wish to learn python programming language. This book also covers the syllabus of various universities and readers can use this book as a help in their academic education. This book can be used by readers to start with python programming from basics to advanced level even without having any prior knowledge of python programming. Table of Contents Introduction to Python Python Fundamentals Expression and Operators Control Statements Functions List Processing Tuple Processing Dictionary Processing String Processing File Processing Exception Handling Object Oriented Programming Inheritance & Polymorphism Database Design in Python
‘Learn Python Programming’ provides basic and advanced concepts of Python. Our Python tutorial is designed for beginners and professionals. Python is a simple, general purpose, high level, and object-oriented programming language. Python is an interpreted scripting language also. Guido Van Rossum is known as the founder of Python programming. ‘Learn Python Programming’ includes all topics of Python Programming such as installation, control statements, Strings, Lists, Tuples, Dictionary, Modules, Exceptions, Date and Time, File I/O, Programs, etc. There are also given Python interview questions to help you better understand Python Programming.
Thorsten and Isaac have written this book based on a programming course we teach for Master's Students at the School of Computer Science of the University of Nottingham. The book is intended for students with little or no background in programming coming from different backgrounds educationally as well as culturally. It is not mainly a Python course but we use Python as a vehicle to teach basic programming concepts. Hence, the words conceptual programming in the title. We cover basic concepts about data structures, imperative programming, recursion and backtracking, object-oriented programming, functional programming, game development and some basics of data science.
Python programming language is an open source programming language which can be used under different operating system. Python programming redefined the programming concepts with its important features like flexibility, adaptability and reusability of codes. Python programming language has numerous libraries or modules which helps the programmer to save their time. The book starts with the overview of basic Python topics such as data structures, data types, conditions and controls, functions, lists, file handling and handling external datasets and database connections. The book also covers the topics in data science such as graphical and chart visualization, statistical modeling, text mining and machine learning algorithms. The book uses popular libraries of Python like matplotlib, sciket-learn and numpy, to perform graphical and machine learning related tasks. Users are encouraged to refer to the author’s book on “Machine Learning: An overview with the help of R software package” (ISBN- 978-1790122622) if they are familiar with R software package which is also an open source package The book requires users to download the Python version 3.0 and any of the Integrated Development Environments (IDE) such as Liclipse, Wing,PyCharm and Eric. Editor International Journal of Statistics and Medical Informatics Back) (e-Book)
The truth is: it is often easy to catch up on the basic and start some basic programming. With Python it becomes much more easier due to its simple syntax and effective organization of lexical. However, as programmers further procede the pathway will seem musch more difficult. A lot of moderate programmers will not turn into effective programmers due to following wrong practices. This is the reason why programmers should follow a well written guide to understand the mistakes the are making and change them to write effective programs. Are you looking forward to brushing up your Python skills? Are you looking forward to using your Python slills to develop complex software? Are you exvite to use your Python skills to develop machine learning applications? If you are an enthusiastic programmer who is always willing to expand his skills then this book is for you! Python is a complex language and consist of a lot of advaned concepts that are often not discussed by the basic level books. This boo is different from those books because it deals with complex topic such as iterations, generators with comprensive details and examples We are happy to present to you this moderate level Python programming book that touches lot of concepts in Python with layman explanations. You will be able to utilize this book effectively by linking these concepts to your programs. DOWNLOAD: PYTHON FOR INTERMEDIATE This book is a comprehensive introduction to a lot of Python concepts that are often difficult to understand. This book can also be a reference guide for programmers who are developing projects. THE GOAL OF THI BOOK IS we need programmers who are perfect and that are aware of complex topics for working on real world projects. As a programmer myself I often see programmers finding it difficult to break the barriers and learn new concepts in very simple words. You will also learn: A detailed introduction to Python A brief guide about Python installation A good comparison between all the available Python versions A brief explanation about Funciotnal Programming A chapter about different operators available A section in the book explaining about iterators, generators and interactions A symple progect that helps you to understand Project Management A brief introduction to machine learning Explanation about Loops and classes in detail Would you like to know more? Are you excited to learn in detail about more of these moderate level concepts in Python? SCROLL TO THE TOP OF THE PAGE AND SELECT THE BUY NOW BOTTON
Refine your Python programming skills and build professional grade applications with this comprehensive guide Key Features Create manageable code that can run in various environments with different sets of dependencies Implement effective Python data structures and algorithms to write optimized code Discover the exciting new features of Python 3.7 Book Description Python is a dynamic programming language that's used in a wide range of domains thanks to its simple yet powerful nature. Although writing Python code is easy, making it readable, reusable, and easy to maintain is challenging. Complete with best practices, useful tools, and standards implemented by professional Python developers, the third edition of Expert Python Programming will help you overcome this challenge. The book will start by taking you through the new features in Python 3.7. You'll then learn the advanced components of Python syntax, in addition to understanding how to apply concepts of various programming paradigms, including object-oriented programming, functional programming, and event-driven programming. This book will also guide you through learning the best naming practices, writing your own distributable Python packages, and getting up to speed with automated ways of deploying your software on remote servers. You’ll discover how to create useful Python extensions with C, C++, Cython, and CFFI. Furthermore, studying about code management tools, writing clear documentation, and exploring test-driven development will help you write clean code. By the end of the book, you will have become an expert in writing efficient and maintainable Python code. What you will learn Explore modern ways of setting up repeatable and consistent development environments Package Python code effectively for community and production use Learn modern syntax elements of Python programming such as f-strings, enums, and lambda functions Demystify metaprogramming in Python with metaclasses Write concurrent code in Python Extend Python with code written in different languages Integrate Python with code written in different languages Who this book is for This book will appeal to you if you’re a programmer looking to take your Python knowledge to the next level by writing efficient code and learning the latest features of version 3.7 and above.
The current text provides a clear introduction to Computer Science concepts in a programming environment. It is designed as suitable use in freshman- or introductory level coursework in CS and provides the fundamental concepts as well as abstract theorems for solving computational problems. The Python language serves as a medium for illustrating and demonstrating the concepts.
"Have you always wanted to learn computer programming but are afraid it'll be too difficult for you? Or perhaps you know other programming languages but are interested in learning the Python language fast? This book is for you"--Page 4 of cover.
Learning a new language opens a wealth of opportunities. But there's one language family that provides benefits like no other: the languages of computer programming. Now widely taught in schools -- even in elementary schools -- programming is an eminently learnable skill that gives you unrivaled problem-solving power you can apply in all areas of life. Programming is also a fun, creative activity that imparts deep insights into how we control the devices that influence virtually every aspect of our lives.
The book offers a step by step approach to the fundamental and theoretical concepts of Python Programming. It nurtures practical understanding with numerous programs and illustratively solved examples.
Fun and friendly way of programming for kids Simple to understand format is specialty of the book. Learn latest Python 3 programming concepts Python programming syntax explained from images. Lots of real-life programs along with output screenshot. Logic box explains logic of each program. Best book to prepare for School and college exams
Learn The Intermediate Concepts of Python Programming Today! Python is on the rise in the world of coding and many popular technological devices from the Raspberry Pi to the Linux operating system use Python as a crux for not just education, but implementation. Python can help you code your own software, develop your own games and even format your own home surveillance system! It is, hands down, one of the most useful coding languages around, and the way it is formatted cuts out a great deal of the fluff that other coding languages have a tendency to be bogged down with. Whether your interest in Python is educational, career-based, or born out of a simple curiosity, it is a programming language you should know, be fluent in, and put on your resume. This world is quickly evolving into a technology-based society, and knowing a coding language as prominent as Python will not only ensure you a job in the future, but it will provide you with a thick foundation to then build your coding language on, should that be something you are chasing. However, no matter the purpose you have chosen for learning this language, there is no beginner's book that breaks down the language into its original components and strings them together cohesively better than this one. If you are looking for a book that is easy to understand and still provides the easy to digest guidance you want, then look no further than here!
This book is an introduction to programming concepts that uses Python 3 as the target language. It follows a practical just-in-time presentation – material is given to the student when it is needed. Many examples will be based on games, because Python has become the language of choice for basic game development. Designed as a Year One textbook for introduction to programming classes or for the hobbyist who wants to learn the fundamentals of programming, the text assumes no programming experience. Features: * Introduces programming concepts that use Python 3 * Includes many examples based on video game development * 4-color throughout with game demos on the companion files
Presents the concepts of writing computer programs, covering such topics as variables, loops, functions, data files and arrays, modular programming, widgets, exceptions, and objects.
Revise Python programming concepts and skill quickly and user friendly way. Python programming concepts and syntax from images. Easy to learn and quick to understand. Lots of real life programs along with output screenshot. Logic box explains logic of each program. Helpful for revision before exam or interview.
Created for developers of all skill levels to find the essentials of common operations combined with the fastest reference guide for writing code. This handy 6 page laminated guide is a concise desktop reference to key concepts behind Python logic, syntax, and operation. Expertly written to concisely cover the planning of a program written in Python, assigning your first variables, importing other libraries, formatting output strings, and creating classes. Beginning students or seasoned programmers will find this tool a perfect go-to for reference to those core concepts. This unbeatable value makes it easy to add this reference to your programmer's toolbox. 6 page laminated guide includes: Working with Python Using Python Code Importing Modules Scope (Indentation) Naming Conventions Reserved Keywords Comments Writing Code Basics Making Variables Types Console Error Handling Saving & Loading Files Coding Structures Math Operators (int, float & complex) List Operations (list, tuple & dict) Strings Statements Functions Dictionaries Using Structures String Formatting String Methods Escape Sequences Bool Characters Writing Boolean Statements Recursion & Iteration Classes Coding Concepts Inheritance Generators Polymorphism Lambda Expressions
Create, execute, modify, and share machine learning applications with Python and TensorFlow 2.0 in the Jupyter Notebook environment. This book breaks down any barriers to programming machine learning applications through the use of Jupyter Notebook instead of a text editor or a regular IDE. You’ll start by learning how to use Jupyter Notebooks to improve the way you program with Python. After getting a good grounding in working with Python in Jupyter Notebooks, you’ll dive into what TensorFlow is, how it helps machine learning enthusiasts, and how to tackle the challenges it presents. Along the way, sample programs created using Jupyter Notebooks allow you to apply concepts from earlier in the book. Those who are new to machine learning can dive in with these easy programs and develop basic skills. A glossary at the end of the book provides common machine learning and Python keywords and definitions to make learning even easier. What You Will Learn Program in Python and TensorFlow Tackle basic machine learning obstacles Develop in the Jupyter Notebooks environment Who This Book Is For Ideal for Machine Learning and Deep Learning enthusiasts who are interested in programming with Python using Tensorflow 2.0 in the Jupyter Notebook Application. Some basic knowledge of Machine Learning concepts and Python Programming (using Python version 3) is helpful.

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