How to Master Computing Using Python with Introduction to Computing Using Python: An Application Development Focus
Introduction to Computing Using Python: An Application Development Focus PDF Download
If you are looking for a comprehensive and engaging introduction to computing using Python, you might be interested in Introduction to Computing Using Python: An Application Development Focus, a book written by Ljubomir Perkovic, a professor of computer science at DePaul University. This book is more than just an introduction to programming. It is an inclusive introduction to computer science that takes the pedagogical approach of "the right tool for the job at the right moment," and focuses on application development. In this article, we will give you an overview of what this book is about, how you can download the PDF version of it, and what are some alternative resources for learning computing using Python.
introduction to computing using python an application development focus pdf download
What is this book about?
Introduction to Computing Using Python: An Application Development Focus is a textbook that covers the fundamental concepts and skills of computer science using Python as the primary programming language. The book aims to develop computational thinking skills by covering patterns of how problems can be broken down and constructively solved to produce an algorithmic solution. The book also introduces a subset of the Python language early on to help write small functions. The book then gradually covers more advanced topics such as data structures, algorithms, object-oriented programming, web development, databases, and data science.
The main features of the book
Some of the main features of this book are:
It adopts an imperative-first approach that does not shy away from discussing objects early where appropriate.
It uses a hands-on and problem-oriented approach, with practice problems and solutions appearing throughout the text.
It provides real-world examples and case studies that illustrate how computer science concepts and tools can be applied to various domains.
It includes end-of-chapter exercises, projects, and programming challenges that test the students' understanding and creativity.
It supports multiple learning styles and preferences by offering online resources such as interactive quizzes, videos, slides, code examples, and instructor materials.
The target audience and prerequisites
This book is intended for students who are taking their first course in computer science or who want to learn Python for computing applications. The book assumes that the students have some basic familiarity with computers and mathematics, but no prior programming experience is required. The book is suitable for both majors and non-majors in computer science, engineering, science, mathematics, or other related fields.
The benefits of learning Python for computing
Python is one of the most popular and versatile programming languages in the world today. It is widely used for various purposes such as web development, data analysis, machine learning, artificial intelligence, automation, game development, and more. Learning Python can offer many benefits for computing students and professionals, such as:
It is easy to learn and use, with a clear and concise syntax that emphasizes readability and simplicity.
It is expressive and powerful, with a rich set of built-in data types and libraries that support multiple paradigms such as imperative, functional, object-oriented, and procedural.
It is portable and cross-platform, meaning that it can run on different operating systems and devices without much modification.
It is open-source and community-driven, meaning that it is free to use and modify, and that it has a large and active community of developers and users who contribute to its improvement and innovation.
How to download the PDF version of the book?
If you are interested in reading this book, you might want to download the PDF version of it for convenience and accessibility. There are several ways to do so, but you should be careful and respectful of the author's and publisher's rights and interests. Here are some of the possible ways to download the PDF version of the book:
The official website of the publisher
The book is published by Wiley, a leading global publisher of academic and professional books. You can visit the official website of the publisher at https://www.wiley.com/en-us/Introduction+to+Computing+Using+Python%3A+An+Application+Development+Focus%2C+2nd+Edition-p-9781118890943 and find more information about the book, such as the description, table of contents, features, reviews, and related resources. You can also purchase the book in different formats, such as paperback, e-book, or e-book rental. If you purchase the e-book or e-book rental, you will be able to access the PDF version of the book online or offline through the Wiley Online Library platform.
The online platforms that offer the book
There are also some online platforms that offer the book in PDF format for free or for a fee. Some examples are:
Google Books: This is a service that allows you to search, preview, and read books online. You can find this book on Google Books at https://books.google.com/books/about/Introduction_to_Computing_Using_Python.html?id=rE9FEAAAQBAJ and view some pages of it for free. However, you will not be able to download the whole book unless you purchase it from Google Play Books.
Library Genesis: This is a website that provides access to millions of books and articles in various languages and formats, including PDF. You can find this book on Library Genesis at http://libgen.rs/book/index.php?md5=0F1B6D0B6F7E8F8B4D0C5F4C5E7D1F6A and download it for free. However, you should be aware that this website may violate the copyright laws of some countries and regions, and that you should use it at your own risk.
PDF Drive: This is a website that allows you to search, preview, and download PDF files for free. You can find this book on PDF Drive at https://www.pdfdrive.com/introduction-to-computing-using-python-an-application-development-focus-e158996457.html and download it for free. However, you should be aware that this website may not have the permission or license to distribute the book, and that you should respect the author's and publisher's rights.
The precautions and tips for downloading the PDF
Before you download the PDF version of the book from any source, you should take some precautions and follow some tips to ensure a safe and smooth experience:
Make sure that your device has enough storage space and battery life to download and open the PDF file.
Make sure that your device has a reliable internet connection and a compatible browser or application to access the source.
What are some alternative resources for learning computing using Python?
If you are looking for some alternative resources for learning computing using Python, you might want to check out some of the following options:
Online courses and tutorials
There are many online courses and tutorials that can help you learn computing using Python at your own pace and level. Some examples are:
Coursera: This is a platform that offers hundreds of courses and certifications on Python and related topics, such as data science, machine learning, web development, and more. You can learn from top universities and industry experts, and earn certificates or degrees that can boost your career. Some of the popular courses are Python for Everybody, Crash Course on Python, Google IT Automation with Python, and IBM Data Science.
Codecademy: This is a website that allows you to learn Python and other programming languages interactively and for free. You can practice coding in a browser-based editor, get instant feedback, and earn badges and certificates. Some of the courses are Learn Python 3, Build a Machine Learning Model with Python, Analyze Data with Python, and Visualize Data with Python.
Google's Python Class: This is a free class for people with a little bit of programming experience who want to learn Python. The class includes written materials, lecture videos, and lots of code exercises to practice Python coding. The class covers topics such as strings, lists, dictionaries, files, regular expressions, web services, and more.
Other books and ebooks
There are also many other books and ebooks that can help you learn computing using Python. Some examples are:
Python Crash Course: A Hands-On, Project-Based Introduction to Programming by Eric Matthes: This is a best-selling book that teaches you the basics of Python programming and how to use it for various projects, such as games, web applications, data visualization, and more.
Automate the Boring Stuff with Python: Practical Programming for Total Beginners by Al Sweigart: This is a fun and practical book that teaches you how to use Python to automate tedious tasks on your computer, such as renaming files, filling out forms, scraping websites, sending emails, and more.
Think Python: How to Think Like a Computer Scientist by Allen B. Downey: This is an introductory book that teaches you how to think computationally and solve problems using Python. The book covers topics such as variables, expressions, functions, conditionals, loops, recursion, data structures, algorithms, debugging, testing, and more.
Online communities and forums
There are also many online communities and forums where you can interact with other Python learners and enthusiasts, ask questions, share resources, get feedback, and learn from each other. Some examples are:
r/learnpython: This is a subreddit where you can post your questions, problems, projects, or anything related to learning Python. You can also find useful links, tutorials, guides, books, courses, podcasts, videos, and more.
best practices, libraries, frameworks, and more.
Python.org Community: This is the official website of the Python community, where you can find various resources and events related to Python, such as newsletters, blogs, podcasts, conferences, meetups, user groups, and more. You can also join the Python Software Foundation, a non-profit organization that supports and promotes Python.
Conclusion
In this article, we have given you an overview of Introduction to Computing Using Python: An Application Development Focus, a book that teaches you the fundamental concepts and skills of computer science using Python as the primary programming language. We have also shown you how you can download the PDF version of the book from different sources, and what are some alternative resources for learning computing using Python.
A summary of the main points
Here are the main points that we have covered in this article:
Introduction to Computing Using Python: An Application Development Focus is a textbook that covers the fundamental concepts and skills of computer science using Python as the primary programming language.
The book adopts an imperative-first approach that does not shy away from discussing objects early where appropriate. It uses a hands-on and problem-oriented approach, with practice problems and solutions appearing throughout the text. It provides real-world examples and case studies that illustrate how computer science concepts and tools can be applied to various domains.
The book is intended for students who are taking their first course in computer science or who want to learn Python for computing applications. The book assumes that the students have some basic familiarity with computers and mathematics, but no prior programming experience is required.
Python is one of the most popular and versatile programming languages in the world today. It is widely used for various purposes such as web development, data analysis, machine learning, artificial intelligence, automation, game development, and more. Learning Python can offer many benefits for computing students and professionals, such as ease of use, expressiveness, portability, and community support.
You can download the PDF version of the book from different sources, such as the official website of the publisher, online platforms that offer the book in PDF format for free or for a fee, or online communities and forums where you can find links or files shared by other users. However, you should be careful and respectful of the author's and publisher's rights and interests when downloading the PDF.
You can also find some alternative resources for learning computing using Python, such as online courses and tutorials, other books and ebooks, or online communities and forums where you can interact with other Python learners and enthusiasts.
A call to action for the readers
If you are interested in learning more about Introduction to Computing Using Python: An Application Development Focus, you can visit the official website of the publisher at https://www.wiley.com/en-us/Introduction+to+Computing+Using+Python%3A+An+Application+Development+Focus%2C+2nd+Edition-p-9781118890943 and find more information about the book. You can also purchase the book in different formats or access some online resources such as interactive quizzes, videos, slides, code examples, and instructor materials.
FAQs
Here are some frequently asked questions and answers about Python and computing:
What is Python?
Python is a general-purpose, versatile, and powerful programming language that is easy to learn and use. It supports multiple programming paradigms, such as imperative, functional, object-oriented, and procedural. It has a rich set of built-in data types and libraries that can handle various tasks, such as web development, data analysis, machine learning, artificial intelligence, automation, game development, and more.
What is computing?
Computing is the process of using computers and software to perform tasks that involve data, information, or knowledge. Computing can be applied to various domains and disciplines, such as science, engineering, mathematics, business, education, art, and more. Computing can also be divided into subfields, such as computer science, computer engineering, software engineering, information systems, information technology, data science, artificial intelligence, and more.
Why should I learn computing using Python?
Learning computing using Python can offer many benefits for students and professionals who want to develop computational thinking skills and solve problems using algorithms. Python is one of the most popular and versatile programming languages in the world today. It is widely used for various purposes such as web development, data analysis, machine learning, artificial intelligence, automation, game development, and more. Learning Python can help you understand the fundamental concepts and tools of computer science and apply them to various domains. Python can also help you create interactive and engaging applications that can run on different platforms and devices.
How can I learn computing using Python?
There are many resources and methods that can help you learn computing using Python. Some examples are:
Books and ebooks: You can read books and ebooks that teach you the fundamental concepts and skills of computer science using Python as the primary programming language. One example is Introduction to Computing Using Python: An Application Development Focus, a book that covers topics such as data structures, algorithms, object-oriented programming, web development, databases, and data science.
What are some common errors or challenges when learning Python?
Some of the common errors or challenges that you may encounter when learning Python are:
Syntax errors: These are errors that occur when you write code that does not follow the rules or conventions of Python syntax, such as indentation, punctuation, keywords, operators, etc. For example, forgetting to indent a block of code, missing a colon after a condition, using a reserved word as a variable name, etc.
Logic errors: These are errors that occur when you write code that does not produce the expected or desired output or behavior, even though it does not raise any syntax errors. For example, using the wrong operator, variable, or function, making incorrect assumptions or calculations, looping infinitely or not enough, etc.
Debugging challenges: These are challenges that occur when you try to find and fix the errors or bugs in your code. For example, not knowing where to start, how to use debugging tools or techniques, how to test your code, how to interpret error messages or tracebacks, etc.
To overcome these errors or challenges, you should practice coding regularly, read and understand the error messages or tracebacks, use debugging tools such as print statements or breakpoints, test your code with different inputs and outputs, and seek help from online resources or communities.
How can I improve my Python skills?
There are many ways to improve your Python skills and become a better programmer. Some examples are:
Read and analyze other people's code: You can learn a lot from reading and analyzing other people's code, especially those who are more experienced or skilled than you. You can see how they solve problems, structure their code, use different features or libraries of Python, write comments or documentation, etc. You can also try to modify or improve their code and see what happens.
Write your own projects: You can also learn a lot from writing your own projects using Python. You can choose a topic or domain that interests you, such as games, web applications, data analysis, machine learning, etc. You can also try to implement some ideas or features that you have in mind. You can also share your projects with others and get feedback or suggestions.
Challenge yourself: You can also challenge yourself by trying to solve some problems or tasks that are beyond your current level of skill or knowledge. You can fin