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Total Size:
6.0 MB
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1787AF8534D3668733F909E949EB011403139234
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June 7, 2025, 8:32 a.m.
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(Last updated: June 9, 2025, 5:52 a.m.)
| File | Size |
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| ['Carbone J. Learning Library Projects in Python. Create Projects with...2023.pdf'] | 0 bytes |
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51.1 MB
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2024-08-15
| Uploaded by indexFroggy | Size 51.1 MB | Health [ 49 /17 ] | Added 2024-08-15 |
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106.4 MB
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2024-10-22
| Uploaded by indexFroggy | Size 106.4 MB | Health [ 17 /3 ] | Added 2024-10-22 |
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SOURCE: Carbone J. Learning Library Projects in Python. Create Projects with...2023
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Textbook in PDF format Python is often used for web development, data analysis, Artificial Intelligence, scientific computing, and automation tasks, among other things. It has a wide range of built-in libraries that make it easy to perform everyday functions without writing a lot of code. The NumPy library supports expressive, efficient numerical programming in Python. Finding extreme values is a very common requirement in data analysis. The NumPy max and maximum functions are two examples of how NumPy lets you combine the coding comfort offered by Python with the runtime efficiency you’d expect from C. This tutorial includes a very short introduction to NumPy, so even if you’ve never used NumPy before, you should be able to jump right in. With the background provided here, you’ll be ready to continue exploring the wealth of functionality to be found in the NumPy library. NumPy is short for Numerical Python. It’s an open source Python library that enables a wide range of applications in the fields of science, statistics, and data analytics through its support of fast, parallelized computations on multidimensional arrays of numbers. Many of the most popular numerical packages use NumPy as their base library. PyScript is a brand-new framework that caused a lot of excitement when Peter Wang, the CEO and co-founder of Anaconda, Inc., revealed it during his keynote speech at PyCon US 2022. Although this project is just an experiment in an early phase of development, people on social media seem to have already fallen in love with it. This tutorial will get you up to speed with PyScript, while the official documentation is still in the making. In this tutorial, you’ll learn how to: Build interactive front-end apps using Python and JavaScript Run existing Python code in the web browser Reuse the same code on the back-end and the front-end Call Python functions from JavaScript and the other way around Distribute Python programs with zero dependencies To get the most out of this tutorial, you should ideally have some experience with JavaScript and front-end programming in general. At the same time, you’ll be able to follow along just fine even if you’ve never done any web development before. In this book you will learn: NumPy's max and maximum: Find Extreme Values in Arrays A First Look at PyScript Linear Regression in Python pandas GroupBy: Your Guide to Grouping Data in Python Combining Data in Pandas With merge, .join, and concat Beautiful Soup: Build a Web Scraper With Python Natural Language Processing With Python's NLTK Package The k-Nearest Neighbors (kNN) Algorithm in Python Python AI: How to Build a Neural Network & Make Predictions Overall, Python is an excellent choice for anyone who wants to learn programming, whether you're interested in web development, data analysis or want to learn a new skill. With its simplicity, readability, and versatility, Python is an excellent language to start your programming journey. Who this book is for: This book is highly appealing to all tech-savvy students, programming enthusiasts, IT graduates, and computer science professionals who want to build strong proficiency in building Python applications. Prior understanding of Python basic coding concepts like variables, expressions, and control structures is required to begin with this book
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