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With its emphasis on project-based practice, Real World Python will take you from playing with syntax to writing complete programs in no time. You'll conduct experiments, explore statistical concepts, and solve novel problems that have frustrated geniuses throughout history, like detecting distant exoplanets, as you continue to build your Python skills.
Chapters begin with a clearly defined project goal and a discussion of ways to attack the problem, followed by a mission designed to make you think like a programmer. You'll direct a Coast Guard search-and-rescue effort, plot and execute a NASA flight to the moon, protect access to a secure lab using facial recognition, and more. Along the way you'll learn how to:
• Use libraries like matplotlib, NumPy, Bokeh, pandas, Requests, Beautiful Soup, and turtle
• Work with Natural Language Processing and computer vision modules like NLTK and OpenCV
• Write a program to detect and track objects moving across a starfield
• Scrape speeches from the internet and autosummarize them
• Use the Mars Orbiter Laser Altimeter (MOLA) map to select spacecraft landing sites
• Survive a zombie apocalypse with the aid of data-plotting and visualization tools
The book's programs are beginner-friendly, but as you progress you'll learn more sophisticated techniques to help you grow your coding capabilities. Once your missions are accomplished, you'll be ready to solve real-world problems with Python on your own.
With its emphasis on project-based practice, Real World Python will take you from playing with syntax to writing complete programs in no time. You'll conduct experiments, explore statistical concepts, and solve novel problems that have frustrated geniuses throughout history, like detecting distant exoplanets, as you continue to build your Python skills.
Chapters begin with a clearly defined project goal and a discussion of ways to attack the problem, followed by a mission designed to make you think like a programmer. You'll direct a Coast Guard search-and-rescue effort, plot and execute a NASA flight to the moon, protect access to a secure lab using facial recognition, and more. Along the way you'll learn how to:
• Use libraries like matplotlib, NumPy, Bokeh, pandas, Requests, Beautiful Soup, and turtle
• Work with Natural Language Processing and computer vision modules like NLTK and OpenCV
• Write a program to detect and track objects moving across a starfield
• Scrape speeches from the internet and autosummarize them
• Use the Mars Orbiter Laser Altimeter (MOLA) map to select spacecraft landing sites
• Survive a zombie apocalypse with the aid of data-plotting and visualization tools
The book's programs are beginner-friendly, but as you progress you'll learn more sophisticated techniques to help you grow your coding capabilities. Once your missions are accomplished, you'll be ready to solve real-world problems with Python on your own.
(No Starch Press). As a former executive-level scientist at ExxonMobil, he spent decades constructing and reviewing complex computer models, developed and tested software, and trained geoscientists and engineers.
Chapter 1: Saving Shipwrecked Sailors with Bayes' Rule
Chapter 2: Attributing Authorship with Stylometry
Chapter 3: Summarizing Speeches
Chapter 4: Sending Super Secret Messages
Chapter 5: Finding Pluto
Chapter 6: Winning the Moon Race with Apollo 8
Chapter 7: Selecting Martian Landing Sites
Chapter 8: Detecting Distant Exoplanets
Chapter 9: Identifying Friend or Foe
Chapter 10: Finding a Safe Space
Chapter 11: Charting Exoplanets
Chapter 12: Are we Living in an Alien Simulation?
Appendix: Answers to the practice problems
Index
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Programmiersprachen |
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 328 |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9781718500624 |
| ISBN-10: | 1718500629 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Vaughan, Lee |
| Hersteller: |
Random House LLC US
No Starch Press |
| Abbildungen: | 1 Illustrations, unspecified |
| Maße: | 236 x 175 x 25 mm |
| Von/Mit: | Lee Vaughan |
| Erscheinungsdatum: | 10.11.2020 |
| Gewicht: | 0,69 kg |
(No Starch Press). As a former executive-level scientist at ExxonMobil, he spent decades constructing and reviewing complex computer models, developed and tested software, and trained geoscientists and engineers.
Chapter 1: Saving Shipwrecked Sailors with Bayes' Rule
Chapter 2: Attributing Authorship with Stylometry
Chapter 3: Summarizing Speeches
Chapter 4: Sending Super Secret Messages
Chapter 5: Finding Pluto
Chapter 6: Winning the Moon Race with Apollo 8
Chapter 7: Selecting Martian Landing Sites
Chapter 8: Detecting Distant Exoplanets
Chapter 9: Identifying Friend or Foe
Chapter 10: Finding a Safe Space
Chapter 11: Charting Exoplanets
Chapter 12: Are we Living in an Alien Simulation?
Appendix: Answers to the practice problems
Index
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Programmiersprachen |
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 328 |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9781718500624 |
| ISBN-10: | 1718500629 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Vaughan, Lee |
| Hersteller: |
Random House LLC US
No Starch Press |
| Abbildungen: | 1 Illustrations, unspecified |
| Maße: | 236 x 175 x 25 mm |
| Von/Mit: | Lee Vaughan |
| Erscheinungsdatum: | 10.11.2020 |
| Gewicht: | 0,69 kg |
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