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You'll flex your problem-solving skills and employ Python's many useful libraries to do 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 rats
- Crack the world's most successful military cipher using cryptanalysis
- Derive the anagram, "I am Lord Voldemort" using linguistical sieves
- Plan your parents' secure retirement with Monte Carlo simulation
- Save the sorceress Zatanna from a stabby death using palingrams
- Model the Milky Way and calculate our odds of detecting alien civilizations
- Help the world's smartest woman win the Monty Hall problem argument
- Reveal Jupiter's Great Red 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 up some new Python skills or just need a pick-me-up, you'll find endless educational, geeky fun with Impractical Python Projects.
You'll flex your problem-solving skills and employ Python's many useful libraries to do 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 rats
- Crack the world's most successful military cipher using cryptanalysis
- Derive the anagram, "I am Lord Voldemort" using linguistical sieves
- Plan your parents' secure retirement with Monte Carlo simulation
- Save the sorceress Zatanna from a stabby death using palingrams
- Model the Milky Way and calculate our odds of detecting alien civilizations
- Help the world's smartest woman win the Monty Hall problem argument
- Reveal Jupiter's Great Red 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 up some new Python skills or just need a pick-me-up, you'll find endless educational, geeky fun with Impractical Python Projects.
Chapter 1: Silly Name Generator
Chapter 2: Finding Palingram Spells
Chapter 3: Solving Anagrams
Chapter 4: Decoding American Civil War Ciphers
Chapter 5: Encoding English Civil War Ciphers
Chapter 6: Writing in Invisible Ink
Chapter 7: Breeding Giant Rats with Genetic Algorithms
Chapter 8: Counting Syllables for Haiku Poetry
Chapter 9: Writing Haiku with Markov Chain Analysis
Chapter 10: Are We Alone? Exploring the Fermi Paradox
Chapter 11: The Monty Hall Problem
Chapter 12: Securing your Nest Egg
Chapter 13: Simulating an Alien Volcano
Chapter 14: Mapping Mars with the Mars Orbiter
Chapter 15: Improving Your Astrophotography with Planet Stacking
Chapter 16: Finding Frauds with Benford's Law
Appendix: Practice Project Solutions
| Erscheinungsjahr: | 2018 |
|---|---|
| Fachbereich: | Programmiersprachen |
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 396 |
| ISBN-13: | 9781593278908 |
| ISBN-10: | 159327890X |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Vaughan, Lee |
| Besonderheit: | Unsere Aufsteiger |
| Hersteller: |
Random House LLC US
No Starch Press |
| Abbildungen: | 1 Illustrations, unspecified |
| Maße: | 233 x 179 x 30 mm |
| Von/Mit: | Lee Vaughan |
| Erscheinungsdatum: | 27.11.2018 |
| Gewicht: | 0,834 kg |
Chapter 1: Silly Name Generator
Chapter 2: Finding Palingram Spells
Chapter 3: Solving Anagrams
Chapter 4: Decoding American Civil War Ciphers
Chapter 5: Encoding English Civil War Ciphers
Chapter 6: Writing in Invisible Ink
Chapter 7: Breeding Giant Rats with Genetic Algorithms
Chapter 8: Counting Syllables for Haiku Poetry
Chapter 9: Writing Haiku with Markov Chain Analysis
Chapter 10: Are We Alone? Exploring the Fermi Paradox
Chapter 11: The Monty Hall Problem
Chapter 12: Securing your Nest Egg
Chapter 13: Simulating an Alien Volcano
Chapter 14: Mapping Mars with the Mars Orbiter
Chapter 15: Improving Your Astrophotography with Planet Stacking
Chapter 16: Finding Frauds with Benford's Law
Appendix: Practice Project Solutions
| Erscheinungsjahr: | 2018 |
|---|---|
| Fachbereich: | Programmiersprachen |
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 396 |
| ISBN-13: | 9781593278908 |
| ISBN-10: | 159327890X |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Vaughan, Lee |
| Besonderheit: | Unsere Aufsteiger |
| Hersteller: |
Random House LLC US
No Starch Press |
| Abbildungen: | 1 Illustrations, unspecified |
| Maße: | 233 x 179 x 30 mm |
| Von/Mit: | Lee Vaughan |
| Erscheinungsdatum: | 27.11.2018 |
| Gewicht: | 0,834 kg |
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