Impracticable Python Project Pdf Download for free

Impractical Python Projects Pdf Download

Playful Programming Activities to Make You Smarter by Lee Vaughan.

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You can think of this as your second Python book. It’s designed to follow and complement either a complete beginner’s book or an introductory class. You’ll be ableto continue self­training using a project­based approach, without wasting your moneyor shelf space on a thorough rehashing of concepts you’ve already learned. But don’t worry, I won’t leave you hanging; all the code is annotated and explained.

These projects are for anyone who wants to use programming to conduct experiments, test theories, simulate nature, or just have fun. This includes people who use programming as part of their jobs (like scientists and engineers) but who aren’t programmers per se, as well as those I call the “determined non­specialists”— dilettantes and dabblers who enjoy programming problems as a fun pastime. If you’ve
wanted to toy with the concepts presented here but found starting potentially complicated projects from scratch too daunting or time­consuming, this book is for you.

Book Description :

impractical python projects download

This type Impractical Python Projects book is a collection of fun and educational projects designed to entertain programmers while enhancing their python skills. It picks up where the complete beginner book leave off, expanding on existing concepts and introducing new tools that you ‘ll use every day. And to keep things intresting, each project includes a zany twist featuring historical incidents, pop culture reference, and literary allusions.

You’ll flex your problem solving skills and employ python’s many useful libraries to fo things like :

– Help James Bond crack a high tech safe with a hill climbing algorithm.

– Write haiku poems using Markov chain Analysis

– use genetic algorithms to breed a race of gigantic rates

– Crack the world’s most sucessful military cipher using cryptanalysis

– Derive the anagram, ” I am Lord Voldemort ” using linguistical sieves

– Plan your parents ‘s secure retirement with Monte Carlo simulation

– save the sorceress zatanna from a stabby death using palingrams

– Model the milky way and calculate our odda of detecting alien civilization

– Help the world’s smartest women win the monty hall problem argument

– Reveal jupiter’s great read spot using optical stacking

– save the head of mary, Queen of Scots with steganography

– Foil corporate security with invisible electronic ink

Simulate volcanoes, map mars, and More, all while gaining valuable experience using free modules like Tkinter. matplotlib, Cprofile, Pylint Pygame, Pillow, and Python – Docx.

Whether you’re looking to.pick ip some new Python skills or just need a pick me up, you ‘ll find endless educational, geeky fun with impractical python project.

Review :

Python is a programming language, but it is also fun to play with. This book recognizes that.”
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As you work through the projects, you’ll increase your knowledge of useful Pythonlibraries and modules; learn more shortcuts, built­in functions, and helpful techniques; and practice designing, testing, and optimizing programs. Additionally, you’ll be able to relate what you’re doing to real­world applications, datasets, and issues.

To quote Ralph Waldo Emerson, “Nothing great was ever achieved without enthusiasm.” This includes the learning experience. The ultimate goal of this book is to spark your imagination and lead you to develop interesting projects of your own. Don’t worry if they seem too ambitious at first; a little diligence and a lot of googling can work miracles—and faster than you think.

The following is an overview of the chapters in this book. You don’t have to work through them sequentially, but the easiest projects are at the beginning, and I explain new concepts, modules, and techniques more thoroughly when they’re first introduced.

Chapter 1:

Silly Name Generator This warm­up project introduces the Python PEP 8 and PEP 257 style guides as well as the Pylint and pydocstyle modules, which analyze your code’s conformance to these guidelines. The end product is a goofy­name generator inspired by the USA Network TV show Psych.

Chapter 2:

Finding Palingram Spells Learn how to profile your code while saving DC Comics sorceress Zatanna from a painful death. Search online dictionaries for the magical palingrams that Zatanna needs to beat a time­reversing villain.

Chapter 3:

Solving Anagrams Write a program that helps a user create a phrase anagram from their name; for example, Clint Eastwood yields old west action. Then help Tom Marvolo Riddle derive his anagram, “I am Lord Voldemort,” using linguistic sieves.

Chapter 4:

Decoding American Civil War Ciphers Investigate and crack one of the most successful military ciphers in history, the Union route cipher. Then help spies on both sides send and decode secret messages using the zig­zagging rail fence cipher.

Chapter 5:

Encoding English Civil War Ciphers Read a message hidden in plain sight by decoding a null cipher from the English Civil War. Then save the head of Mary, Queen of Scots, by designing and implementing code to accomplish the more difficult task of writing a null cipher.

Chapter 6:

Writing in Invisible Ink Help a corporate mole betray Sherlock.Holmes’s dad and evade detection with invisible electronic ink. This chapter is based on an episode of the CBS television show Elementary.

Chapter 7:

Breeding Giant Rats with Genetic Algorithms Use genetic algorithms—inspired by Darwinian evolution—to breed a race of super­rats the size of female bullmastiffs. Then help James Bond crack a safe with 10 billion possible combinations in the blink of an eye.

Chapter 8:

Counting Syllables for Haiku Poetry Teach your computer to count syllables in English as a prelude to writing Japanese poetry, or haiku, in the next chapter.

Chapter 9:

Writing Haiku with Markov Chain Analysis Teach your computer to write haiku by combining the syllable­counting module from Chapter 8 with Markov chain analysis and a training corpus of several hundred ancient and modern haiku.

Chapter 10:

Are We Alone? Exploring the Fermi Paradox Investigate the absence of alien radio signals using Drake’s equation, the dimensions of the Milky Way galaxy, and assumptions about the size of detectable “emissions bubbles.” Learn and use the popular tkintermodule to build a graphical display of the galaxy and Earth’s own radio bubble.

Chapter 11:

The Monty Hall Problem Help the world’s smartest woman win the Monty Hall problem argument. Then use object­oriented programming (OOP) to build a version of Monty’s famous game with a fun graphical interface.

Chapter 12:

Securing Your Nest Egg Plan your (or your parents’) secure retirement using a Monte Carlo–based financial simulation.

Chapter 13:

Simulating an Alien Volcano Use pygameto simulate a volcanic
eruption on Io, one of Jupiter’s moons.

Chapter 14:

Mapping Mars with the Mars Orbiter Build a gravity­based arcade game and nudge a satellite into a circular mapping orbit without running out of fuel or
burning up in the atmosphere. Display readouts of key parameters, track orbital paths, add the planet’s shadow, and spin Mars slowly on its axis, all while learning orbital mechanics.

Chapter 15:

Improving Your Astrophotography with Planet Stacking Reveal Jupiter’s cloud bands and Great Red Spot by optically stacking poor­quality video images using the Python imaging library. Learn how to work with files, folders, and directory paths using the built­in osand shutilmodules.

Chapter 16:

Finding Frauds with Benford’s Law Use Benford’s law to investigate vote tampering in the 2016 presidential election. Use matplotlibto summarize the results in a chart. Each chapter ends with at least one Practice Project or Challenge Project. Each Practice
Project comes with a solution. That doesn’t mean it’s the best solution—you may come up with a better one on your own, so don’t peek ahead.

About the Author

Lee Vaughan is a geologist with over 30 years’ experience in the petroleum industry. As the senior Technical professional for geological modeling at a major international oil company, he was involved in the construction and review of computer models, the development, testing, and commercialization of software,and the training of geoscientists and engineers. an advocate for nonprogrammers who must use programming in their careers, he wrote Impractical python u to help self learners hone their skills with the Python language.


Author : Lee Vaughan
Size Of PDF : 25 MB
Number of Pages : 478 Pages



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