Python Debugging Handbook
DOWNLOAD
Download Python Debugging Handbook PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Python Debugging Handbook book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Python Debugging Handbook
DOWNLOAD
Author : R. Zimmerman
language : en
Publisher:
Release Date : 2020-02-07
Python Debugging Handbook written by R. Zimmerman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-07 with categories.
Color Edition.This book is a systematic plan to debug your programs. The focus is not on the Python language, although Chapter 3 does cover the basics. Instead, my focus is always on debugging. If you're new to Python debugging, I think this book is a good starting point. Experienced Python programmers might want to review the table of contents, to see if there's anything special that catches their interest.The sample code demonstrates lists, tuples, loops, or classes, but in the simplest form I could imagine. Chapters 1-2 outline how to set up your Python debugging environment, and establish a debugging plan as you write your code.1.Work on small chunks of code, test, and then move on to the next piece.2.Keep multiple backup versions of your files.3.Have a clear idea of what you want your program to do.4.Use small data file samples that you know have clean data to develop your code. When you've tested your code and are confident there are no bugs, use live data connections or real data files. 5.Keep notes of where you stopped programming and the next steps.6.Divide and concur. Divide the code in half and test each half to see which half has the error. Repeat to drill down to the location with the error.7.When debugging, keep a record of experiments, so you know what you've already tried.Chapter 4 has simple suggestions for debugging your code, with specific examples of the code and results. Even if you've never seen Spyder or Python before, at the end of this chapter, I hope you'll feel confident debugging most of the issues you'll encounter.*With the Debugging Overview, you'll learn about the Editor, Variable Explorer, and Debug Mode and Interactive Mode in the Console. We'll look at those times when you don't see your object in Variable Explorer, and explore why the Console traceback says "NameError."*Delve into Debug Mode, including basic commands, how to set a breakpoint, and examples of stepping through the code.*Add Print Statements (and visual clues for the depth of loop statements).*Logging for those times when print statements roll off the screen.*Use Interactive Mode with several common Console commands and two magic commands. [object name]?dir(object)help(object)%debug%timeitChapter 5 briefly looks at the types of errors you may encounter, and then in Chapter 6, you can try out your debugging knowledge. We'll look at the syntax for retrieving object values, type information, the length of objects or data structures, arguments, and return values. Because syntax varies based on the type and length of objects, there are numerous examples for strings, numbers, tuples, lists, and dictionaries. We'll also look at the special "None" value, unique to Python.Chapter 7 is chock full of examples. The format for each example is the same: Description, Intended Outcome, Actual Result, Incorrect Code, Debugging Steps, How to Resolve the Issue, Good Code, and a Reference to earlier related topics.Finally, the Appendix-Reference chapter includes links to the Python.org docs and the iPython.readthedocs websites for more detailed information.
Python Handbook
DOWNLOAD
Author : James Pattrick
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-05-29
Python Handbook written by James Pattrick and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-29 with categories.
Python Handbook has a dynamic and varied nature. It reads easily and lays a good foundation for those who are interested in digging deeper. It has a practical and example-oriented approach through which both the introductory and the advanced topics are explained. Starting with the fundamentals of programming and Python, it ends by exploring very different topics, like GUIs, web apps and data science. The book takes you all the way to creating a fully fledged application. The book begins by exploring the essentials of programming, data structures and teaches you how to manipulate them. It then moves on to controlling the flow of a program and writing reusable and error proof code. You will then explore different programming paradigms that will allow you to find the best approach to any situation, and also learn how to perform performance optimization as well as effective debugging. Throughout, the book steers you through the various types of applications, and it concludes with a complete mini website built upon all the concepts that you learned.
Python Recipes Handbook
DOWNLOAD
Author : Joey Bernard
language : en
Publisher: Apress
Release Date : 2016-11-08
Python Recipes Handbook written by Joey Bernard and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-08 with Computers categories.
Learn the code to write algorithms, numerical computations, data analysis and much more using the Python language: look up and re-use the recipes for your own Python coding. This book is your handy code cookbook reference. Whether you're a maker, game developer, cloud computing programmer and more, this is a must-have reference for your library. Python Recipes Handbook gives you the most common and contemporary code snippets, using pandas (Python Data Analysis Library), NumPy, and other numerical Python packages. What You'll Learn Code with the pandas (Python Data Analysis Library) Work with the various Python algorithms useful for today's big data analytics and cloud applications Use NumPy and other numerical Python packages and code for doing various kinds of analysis Discover Python's new popular modules, packages, extensions and templates library Who This Book Is For This handy reference is for those with some experience with Python.
Python Programming For Beginners
DOWNLOAD
Author : Tim Matthes
language : en
Publisher:
Release Date : 2020-11-30
Python Programming For Beginners written by Tim Matthes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-30 with Computers categories.
Would you like to start programming with Python from scratch? This is the easiest way you can find it! What are you waiting for? Keep reading! This guide is the track to follow from scratch to intermediate, and then some of the advanced python concepts have been discussed with much simplicity so that you need to understand Clear plan with Python. We'll start talking a little about what Python programming is also some of the steps that are needed to update the software if it's not on your machine already and Give more details about why this initiative is so good. We will then switch on to some keywords that you can use when starting the program and even assess the advantages and the Disadvantages to all the scripting and programming wants using Python.The vast majority of the guidebook is about some of the different stuff you could do in the Python program and explanations of How would ever of this work. We are considering adding comments to the file, act on strings and entries and spend some time dealing with them. Variables to turn upright in the plan. It's a good idea to research projects with the process a little.Python makes checking the strings fast now, and you will find out what will fit and what requires more Practice. Starting programming may seem to be a struggle. You should think about that you can't work out all this and all the crazy programming Languages could in the first place have scared you away.Some of the topics covered in the book are as follows: Dictionaries Functions How to write your Python Loops Python encapsulation OOP A program for coming up with a simple calculator using Python Language The Perceptron File management Python Iterator Python Generator Regular Expressions Python Closure Shallow copy and deep copy Objects and classes in Python Recursion in Python Debugging and testing Fibonacci sequence (definition) Arguments in Python Namespaces Modules Simple projects for Intermediates Assert Python StringsTuples, Operators, and Lists, inheritance, multiple inheritances The book includes several Python modules and succinct description. Python Programming's various types. When you finish the book, you are ready to Be prepared with the skills required to build on your own usable and practical scripts.This guidebook is available you should devote some time looking at and investigating the Python language. It will be quick to get the basic program started.
Python Data Science Handbook
DOWNLOAD
Author : Jake VanderPlas
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-11-21
Python Data Science Handbook written by Jake VanderPlas and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-21 with Computers categories.
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
Python Mastery A Complete Guide To Programming Excellence
DOWNLOAD
Author : RAMANA
language : en
Publisher: RAMANA
Release Date : 2024-04-18
Python Mastery A Complete Guide To Programming Excellence written by RAMANA and has been published by RAMANA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-18 with Antiques & Collectibles categories.
Here is a description for the book *"Python Mastery: A Complete Guide to Programming Excellence"*: Unlock your full potential as a programmer with *"Python Mastery: A Complete Guide to Programming Excellence"*. This comprehensive book is designed to guide you from the fundamentals of Python programming to advanced concepts and best practices. Through clear explanations and hands-on exercises, you'll gain a solid understanding of core topics such as data types, control structures, functions, and modules. Dive deeper into object-oriented programming, file handling, and libraries like NumPy and Pandas. Explore powerful techniques for debugging, testing, and optimizing your code. Whether you're a beginner or an experienced developer, this guide will help you achieve mastery in Python and elevate your programming skills to new heights.
Python For Dummies
DOWNLOAD
Author : Stef Maruch
language : en
Publisher: John Wiley & Sons
Release Date : 2011-05-09
Python For Dummies written by Stef Maruch and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-09 with Computers categories.
Python is one of the most powerful, easy-to-read programming languages around, but it does have its limitations. This general purpose, high-level language that can be extended and embedded is a smart option for many programming problems, but a poor solution to others. Python For Dummies is the quick-and-easy guide to getting the most out of this robust program. This hands-on book will show you everything you need to know about building programs, debugging code, and simplifying development, as well as defining what actions it can perform. You’ll wrap yourself around all of its advanced features and become an expert Python user in no time. This guide gives you the tools you need to: Master basic elements and syntax Document, design, and debug programs Work with strings like a pro Direct a program with control structures Integrate integers, complex numbers, and modules Build lists, stacks, and queues Create an organized dictionary Handle functions, data, and namespace Construct applications with modules and packages Call, create, extend, and override classes Access the Internet to enhance your library Understand the new features of Python 2.5 Packed with critical idioms and great resources to maximize your productivity, Python For Dummies is the ultimate one-stop information guide. In a matter of minutes you’ll be familiar with Python’s building blocks, strings, dictionaries, and sets; and be on your way to writing the program that you’ve dreamed about!
Python 3
DOWNLOAD
Author : John Bach
language : en
Publisher:
Release Date : 2020-09-19
Python 3 written by John Bach and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-19 with categories.
The goals of this book Cover programming topics as well as Python . Traditional textbooks do a pretty good job of teaching the basics of a given programming language, but they often do not cover relevant programming topics that are incidental to the language. For example, books will omit sections on programming style, common pitfalls, debugging, good/bad programming practices, and testing. Consequently, by the time you finish the book, you may understand how to program in a language, but you might also have picked up bad habits that will come back to bite you later! One of the goals of these tutorials is to make sure that all of these incidental topics are covered along the way, in the sections where it naturally makes sense to discuss them. When you finish, you will not only know how to program in Python, you will know how NOT to program in Python, which is arguably as important. Provide a lot of examples. Most people learn as much or more from following the examples as they do from reading the text. These tutorials will endeavor to provide plenty of clear, concise examples to show how to apply the concepts you are learning. We will also avoid (as much as possible) the twin evils: the magic hand wave (also known as ...), where in the interest of space part of an example is omitted, and the unexplained new concept, where a new concept that is integral to the example is introduced without any mention of what it is or how it works. Both of these tend to lead to getting stuck. Provide practice programs. The end of many lessons and sections will contain some exercises that you can attempt to answer on your own, along with solutions. You can compare your solution against ours to see what we did differently, or, if you get stuck, how we solved the problem. Then you can go back and refocus on the areas you need more work on. Most importantly: have fun. Programming can be a lot of fun, and if you're not generally having fun, you're not in the right mindset to be programming. Tired or unhappy programmers make mistakes, and debugging code tends to take much longer than writing it correctly in the first place! Often you can save yourself some time by going to bed, getting a good night's sleep, and coming back to a problem in the morning.
Python Advanced Programming
DOWNLOAD
Author : Marcus Richards
language : en
Publisher: Marcus Richards
Release Date : 2024-03-19
Python Advanced Programming written by Marcus Richards and has been published by Marcus Richards this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-19 with Computers categories.
If you want to learn the most modern programming language in the world, then keep reading. Python is an high-level programming language. It's a modern language, easy to learn and understand but very powerful. It's a versatile programming language that is now being used on a lot of different projects, from world-class internet companies to small hobbyists, Python is extremely flexible and can be useful in a lot of different fields. With Python, you can develop apps, games and any kind of software. In fact, Python is one of the highest-demand skill for professional developers. Python Advanced Programming approaches this programming language in a very practical method to make sure you can learn everything you need to start working with Python as soon as possible and to handle advanced feature of this unique language. You will learn... ▸ Advanced procedural programming techniques ▸ What is Dynamic Code Execution ▸ Advanced OOP functions most developers are not aware of ▸ Functional-style programming with Python ▸ How to debug, test and profile your software ▸ How to handle multiple processes ▸ The best techniques to spread the workload on different threads
Python Data Science Handbook
DOWNLOAD
Author : Jake VanderPlas
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-11-21
Python Data Science Handbook written by Jake VanderPlas and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-21 with Computers categories.
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms