Python Programming Illustrated For Beginners & Intermediates“Learn By Doing” Approach-Step By Step Ultimate Guide To Mastering Python
Title | Python Programming Illustrated For Beginners & Intermediates“Learn By Doing” Approach-Step By Step Ultimate Guide To Mastering Python PDF eBook |
Author | William Sullivan |
Publisher | PublishDrive |
Pages | 136 |
Release | 2018-06-21 |
Genre | Computers |
ISBN |
Python Programming Illustrated Guide For Beginners & Intermediates Whether you are at a beginner or intermediate level this book is crafted just for you! Learn Python Fundamentals This is your beginner's step by step guide with illustrated pictures! Learn one of the most essential, renowned and practical programming languages in 21st century. Python is a general purpose programming used by many start-ups. Its design emphasizes code readability, notably using significant whitespace Did you know Mozilla Firefox, PBS, Reddit, and even NASA! All use Python programming for their websites? Providing constructs whether small or large scale Python is versatile and can be used in a variety of ways. What You Will Learn: Python Running Your First Program Identifiers Variables Data Types Codes Practical Implementations And, much, much more! If you want to learn more about python programming it is highly recommended you start from the ground up by using this book. Why not start off by making a small and affordable investment with your illustrated beginners guide that walks you through python programming step by step. Why choose this book? Addresses Fundamental Concepts Goes Straight To The Point, No fluff or nonsense Practical Examples High Quality Diagrams "Noob friendly" (Good For beginners) Object Oriented Programming With Python Lambda Expressions Endorses Learn "By Doing Approach" Concise And To The Point I been working tirelessly to provide you quality books at an affordable price. I believe this book will give you the confidence to tackle python programming at a fundamental level. What are you waiting for? Make the greatest investment in knowledge base right now. Buy your copy now!
Computer Programming for Beginners
Title | Computer Programming for Beginners PDF eBook |
Author | Kevin Cooper |
Publisher | Independently Published |
Pages | 635 |
Release | 2019-12-12 |
Genre | |
ISBN | 9781672052665 |
Are you ready to chart a new course in your programming career? Are you ready but don't know where to begin? Do not worry, because these books give you the fundamentals of programming languages. This guide is what you need to learn to program easily and quickly from an expert with over 10+ years' experience. All you need is a bit of patience and planning. The books cover topics such as: The Complete Introduction Guide for Learning the Basics of C, C#, C++, SQL, JAVA, JAVASCRIPT, PHP, and PYTHON The concepts of different programming languages Variables of the different programming language Where the language is applicable in our today world What are the things you need to know about artificial intelligence? How you can start with machine learning and Why you need to understand the fundamentals; the jars of machine learning and how many they are; what the roadmaps to machine learning are What the types of machine learning are, and what their impacts are to amplify various elements of business operations In addition a book explains Python in detail with the help of detailed coding examples that are usually not available in Python beginner-level books and that will make your journey easier. Python is a robust programming language and supports both functional and object-oriented concepts. We took a lot of care and we tried to explain a lot of concepts that are important for the success of an entry-level programmer. Along with all these basic concepts, we have tried to give some practical examples which can help the reader understand the concepts better. We will discuss in detail the best parts of the book: Brief history of Python and different development environments available Detailed reading about conditionals and loops along with programming code Functions, modules, and object-oriented programming in detail The books are well arranged for easy understanding. Don't forget to brush up your knowledge by going through the exercise pages. So what are you waiting for? Let the programming begin! Invest in your future! Click the "Buy Now" button at the top of this page and get your copy of "Computer Programming for Beginners" now!
Python from the Very Beginning
Title | Python from the Very Beginning PDF eBook |
Author | John Whitington |
Publisher | Coherent Press |
Pages | 240 |
Release | 2020-10-03 |
Genre | Computers |
ISBN | 0957671156 |
In Python from the Very Beginning John Whitington takes a no-prerequisites approach to teaching the basics of a modern general-purpose programming language. Each small, self-contained chapter introduces a new topic, building until the reader can write quite substantial programs. There are plenty of questions and, crucially, worked answers and hints. Python from the Very Beginning will appeal both to new programmers, and to experienced programmers eager to explore functional languages such as Haskell. It is suitable both for formal use within an undergraduate or graduate curriculum, and for the interested amateur.
Learning Python Design Patterns
Title | Learning Python Design Patterns PDF eBook |
Author | Chetan Giridhar |
Publisher | Packt Publishing Ltd |
Pages | 164 |
Release | 2016-02-15 |
Genre | Computers |
ISBN | 1785887378 |
Leverage the power of Python design patterns to solve real-world problems in software architecture and design About This Book Understand the structural, creational, and behavioral Python design patterns Get to know the context and application of design patterns to solve real-world problems in software architecture, design, and application development Get practical exposure through sample implementations in Python v3.5 for the design patterns featured Who This Book Is For This book is for Software architects and Python application developers who are passionate about software design. It will be very useful to engineers with beginner level proficiency in Python and who love to work with Python 3.5 What You Will Learn Enhance your skills to create better software architecture Understand proven solutions to commonly occurring design issues Explore the design principles that form the basis of software design, such as loose coupling, the Hollywood principle and the Open Close principle among others Delve into the object-oriented programming concepts and find out how they are used in software applications Develop an understanding of Creational Design Patterns and the different object creation methods that help you solve issues in software development Use Structural Design Patterns and find out how objects and classes interact to build larger applications Focus on the interaction between objects with the command and observer patterns Improve the productivity and code base of your application using Python design patterns In Detail With the increasing focus on optimized software architecture and design it is important that software architects think about optimizations in object creation, code structure, and interaction between objects at the architecture or design level. This makes sure that the cost of software maintenance is low and code can be easily reused or is adaptable to change. The key to this is reusability and low maintenance in design patterns. Building on the success of the previous edition, Learning Python Design Patterns, Second Edition will help you implement real-world scenarios with Python's latest release, Python v3.5. We start by introducing design patterns from the Python perspective. As you progress through the book, you will learn about Singleton patterns, Factory patterns, and Facade patterns in detail. After this, we'll look at how to control object access with proxy patterns. It also covers observer patterns, command patterns, and compound patterns. By the end of the book, you will have enhanced your professional abilities in software architecture, design, and development. Style and approach This is an easy-to-follow guide to design patterns with hands-on examples of real-world scenarios and their implementation in Python v3.5. Each topic is explained and placed in context, and for the more inquisitive, there are more details on the concepts used.
Conceptual Programming with Python
Title | Conceptual Programming with Python PDF eBook |
Author | Thorsten Altenkirch |
Publisher | Lulu.com |
Pages | 262 |
Release | 2019 |
Genre | Computers |
ISBN | 024482276X |
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 for Mechanical and Aerospace Engineering
Title | Python for Mechanical and Aerospace Engineering PDF eBook |
Author | Alex Kenan |
Publisher | Alex Kenan |
Pages | 210 |
Release | 2021-01-01 |
Genre | Computers |
ISBN | 1736060600 |
The traditional computer science courses for engineering focus on the fundamentals of programming without demonstrating the wide array of practical applications for fields outside of computer science. Thus, the mindset of “Java/Python is for computer science people or programmers, and MATLAB is for engineering” develops. MATLAB tends to dominate the engineering space because it is viewed as a batteries-included software kit that is focused on functional programming. Everything in MATLAB is some sort of array, and it lends itself to engineering integration with its toolkits like Simulink and other add-ins. The downside of MATLAB is that it is proprietary software, the license is expensive to purchase, and it is more limited than Python for doing tasks besides calculating or data capturing. This book is about the Python programming language. Specifically, it is about Python in the context of mechanical and aerospace engineering. Did you know that Python can be used to model a satellite orbiting the Earth? You can find the completed programs and a very helpful 595 page NSA Python tutorial at the book’s GitHub page at https://www.github.com/alexkenan/pymae. Read more about the book, including a sample part of Chapter 5, at https://pymae.github.io
Get Programming
Title | Get Programming PDF eBook |
Author | Ana Bell |
Publisher | Simon and Schuster |
Pages | 668 |
Release | 2018-03-27 |
Genre | Computers |
ISBN | 1638355924 |
Get Programming: Learn to code with Python teaches you the basics of computer programming using the Python language. In this exercise-driven book, you'll be doing something on nearly every page as you work through 38 compact lessons and 7 engaging capstone projects. By exploring the crystal-clear illustrations, exercises that check your understanding as you go, and tips for what to try next, you'll start thinking like a programmer in no time. This book works perfectly alongside our video course Get Programming with Python in Motion, available exclusively at Manning.com: www.manning.com/livevideo/get-programming-with-python-in-motion Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. What's Inside Programming skills you can use in any language Learn to code—no experience required Learn Python, the language for beginners Dozens of exercises and examples help you learn by doing About the Reader No prior programming experience needed. Table of Contents LEARNING HOW TO PROGRAM Lesson 1 - Why should you learn how to program? Lesson 2 - Basic principles of learning a programming language UNIT 1 - VARIABLES, TYPES, EXPRESSIONS, AND STATEMENTS Lesson 3 - Introducing Python: a programming language Lesson 4 - Variables and expressions: giving names and values to things Lesson 5 - Object types and statements of code 46 Lesson 6 - Capstone project: your first Python program-convert hours to minutes UNIT 2 - STRINGS, TUPLES, AND INTERACTING WITH THE USER Lesson 7 - Introducing string objects: sequences of characters Lesson 8 - Advanced string operations Lesson 9 - Simple error messages Lesson 10 - Tuple objects: sequences of any kind of object Lesson 11 - Interacting with the user Lesson 12 - Capstone project: name mashup UNIT 3 - MAKING DECISIONS IN YOUR PROGRAMS Lesson 13 - Introducing decisions in programs Lesson 14 - Making more-complicated decisions Lesson 15 - Capstone project: choose your own adventure UNIT 4 - REPEATING TASKS Lesson 16 - Repeating tasks with loops Lesson 17 - Customizing loops Lesson 18 - Repeating tasks while conditions hold Lesson 19 - Capstone project: Scrabble, Art Edition UNIT 5 - ORGANIZING YOUR CODE INTO REUSABLE BLOCKS Lesson 20 - Building programs to last Lesson 21 - Achieving modularity and abstraction with functions Lesson 22 - Advanced operations with functions Lesson 23 - Capstone project: analyze your friends UNIT 6 - WORKING WITH MUTABLE DATA TYPES Lesson 24 - Mutable and immutable objects Lesson 25 - Working with lists Lesson 26 - Advanced operations with lists Lesson 27 - Dictionaries as maps between objects Lesson 28 - Aliasing and copying lists and dictionaries Lesson 29 - Capstone project: document similarity UNIT 7 - MAKING YOUR OWN OBJECT TYPES BY USING OBJECT-ORIENTED PROGRAMMING Lesson 30 - Making your own object types Lesson 31 - Creating a class for an object type Lesson 32 - Working with your own object types Lesson 33 - Customizing classes Lesson 34 - Capstone project: card game UNIT 8 - USING LIBRARIES TO ENHANCE YOUR PROGRAMS Lesson 35 - Useful libraries Lesson 36 - Testing and debugging your programs Lesson 37 - A library for graphical user interfaces Lesson 38 - Capstone project: game of tag Appendix A - Answers to lesson exercises Appendix B - Python cheat sheet Appendix C - Interesting Python libraries