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Description:
An accessible, visual, and creative approach to teaching core coding concepts using Python’s Processing.py, an open-source graphical development environment.
This beginners book introduces non-programmers to the fundamentals of computer coding within a visual, arts-focused context. Tristan Bunn’s remarkably effective teaching approach is designed to help you visualize core programming concepts while you make cool pictures, animations, and simulations...
Description：
Pandas has rapidly become one of Python’s most popular data analysis libraries. With pandas you can efficiently sort, analyze, filter and munge almost any type of data. Pandas in Action shows you how to master this versatile tool and take the next steps in your data science career.
Pandas has rapidly become one of Python’s most popular data analysis libraries. With pandas you can efficiently sort, analyze, filter and munge almost any type of data. Pan...
Description：
While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language-in fact, it’s the top feature requested. What makes this combination so compelling? In this hands-on guide, Felix Zumstein- creator of xlwings, a popular open source package that allows the automation of Excel with Python-shows experienced Excel users how to integrate these two worlds efficiently.
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Description：
Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements in natural language processing (NLP), users now have many options for solving complex challenges. But it’s not always clear which NLP tools or libraries would work for a business’s needs, or which techniques you should use and in what order.
This practical book provides data scientists and developers with blueprints for ...
Book Description：
A project-based approach to learning Python programming for beginners. Intriguing projects teach you how to tackle challenging problems with code.
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 ...
Book Description：
Discover the concepts of creating dynamic web pages (HTML) with Python. This book reviews several methods available to serve up dynamic HTML including CGI, SSI, Django, and Flask.
You will start by covering HTML pages and CSS in general and then move on to creating pages via CGI. It is easy to use and can serve as a foundation for the more advanced services available for launching dynamic web pages. Next you'll explore the SSI (Server Side ...
Book Description：
Dive into GUI application development and create useful applications for practical and relevant topics in the fields of business, computer science, and research. This book uses a realistic approach to help get you started designing and building the applications you need while learning new tools along the way.
PyQt has a vast collection of tools that you can use to create GUIs, many of which seem to go unexplored. In Modern PyQt, you will go b...
Book Description:
This easy-to-follow guide provides R and Python recipes to help you learn and apply the top languages in the field of data analytics to your work in Microsoft Power BI. Data analytics expert and author Ryan Wade shows you how to use R and Python to perform tasks that are extremely hard, if not impossible, to do using native Power BI tools. For example, you will learn to score Power BI data using custom data science models and powerful models from Microso...
内容简介：
本书由Python pandas项目创始人Wes McKinney亲笔撰写，详细介绍利用Python进行操作、处理、清洗和规整数据等方面的具体细节和基本要点。第2版针对Python 3.6进行全面修订和更新，涵盖新版的pandas、NumPy、IPython和Jupyter，并增加大量实际案例，可以帮助你高效解决一系列数据分析问题。
第2版中的主要更新包括：
• 所有的代码，包括把Python的教程更新到了Python 3.6版本(第1版中使用的是Python 2.7)
• 更新了Python第三方发布版Anaconda和其他所需Python包的安装指引
• 更新pa...
Book Description:
Gain a thorough understanding of supervised learning algorithms by developing use cases with Python. You will study supervised learning concepts, Python code, datasets, best practices, resolution of common issues and pitfalls, and practical knowledge of implementing algorithms for structured as well as text and images datasets.
You’ll start with an introduction to machine learning, highlighting the differences between supervised, semi-supervised and u...
Book Description:
This book covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. The entire text, including all the figures and numerical results, is reproducible using the Python codes and their associated Jupyter/IPython notebooks, which are provided as supplementary downloads. The author develops key intuitions in machine learning by working meaningful examples using multiple analytical methods a...
Book Description:
A long journey is really a lot of little steps. The same is true when you’re learning Python, so you may as well have some fun along the way! Written in a lighthearted style with entertaining exercises that build powerful skills, Tiny Python Projects takes you from amateur to Pythonista as you create 19 bitesize programs.
Author:Ken Youens-Clark
ISBN-10:1617297518
Year:2020
Pages:325
Language:English
File size:7.7 MB
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