Beschreibung
An introduction to the Python programming language and its most popular tools for scientists, engineers, students, and anyone who wants to use Python for research, simulations, and collaboration. Doing Science with Python introduces readers to the most popular coding tools for scientific research, such as Anaconda, Spyder, Jupyter NotDigitals, and JupyterLab, as well as dozens of important Python libraries for working with data, including NumPy, matplotlib, and pandas. No prior programming experience is required! You'll be guided through setting up a professional coding environment, then get a crash course on programming with Python, and explore the many tools and libraries ideal for working with data, designing visualizations, simulating natural events, and more. In the book's applied projects, you'll use these tools to write programs that perform tasks like counting tree rings, creating an interactive science slideshow, and simulating the foraging patterns of animals.
| EAN: | 9781718502666 |
| Farbverschnitt: | Generell werden die Bücher ohne Farbverschnitt geliefert, auch wenn die Abbildungen einen Farbverschnitt zeigen. |
| Erscheinungsjahr: | 20230117 |
| Produktform: | Kartoniert |
| Autoren: | Vaughan, Lee |
| Seitenzahl/Blattzahl: | 744 |
| Themenüberschrift: | COMPUTERS / Programming Languages / Python |
| Keyword: | introduction to programming;Jupyter NotDigital;Anaconda;Beginning Programming;automation;learn python;learn programming;python for beginners;data visualization;research;computer science;computers;computer;technology;coding;code;coding for kids;computer programming;algorithm;python;python programming;clean code;algorithms;python for data analysis;python machine learning;tech;learning python;python data science;coding for beginners;python 3;programmer gifts;computer books;ap computer science |
| Fachschema: | Analyse / Datenanalyse~Datenanalyse~Informatik~Programmiersprachen~Python (EDV)~Internet / Programmierung~Kryptografie~Verschlüsselung |
| Fachkategorie: | Datenerfassung und -analyse~Informatik~Naturwissenschaften, allgemein~Webprogrammierung~Kryptografie, Verschlüsselungstechnologie~Datenanalyse, allgemein, Programmier- und Skriptsprachen, allgemein |
| Imprint-Titels: | No Starch Press |
| Text Sprache: | eng |
| Verlag: | Random House LLC US |
| Länge: | 233 mm |
| Breite: | 181 mm |
| Höhe: | 37 mm |
| Gewicht: | 1153 gr |
| Genre: | Importe |
| Herkunftsland: | VEREINIGTE STAATEN VON AMERIKA (US) |