Python programming Опции

[Williams]

Burkhard A. Meier- Python GUI Programming Cookbook, 2nd Edition

Packt Publishing, 2017
PDF, EPUB, AZW3 - 422 pages, english
ISBN 139781787129450



Master over 80 object-oriented recipes to create amazing GUIs in Python and revolutionize your applications today

Python is a multi-domain, interpreted programming language. It is a widely used general-purpose, high-level programming language. It is often used as a scripting language because of its forgiving syntax and compatibility with a wide variety of different eco-systems. Python GUI Programming Cookbook follows a task-based approach to help you create beautiful and very effective GUIs with the least amount of code necessary.

This book will guide you through the very basics of creating a fully functional GUI in Python with only a few lines of code. Each and every recipe adds more widgets to the GUIs we are creating. While the cookbook recipes all stand on their own, there is a common theme running through all of them. As our GUIs keep expanding, using more and more widgets, we start to talk to networks, databases, and graphical libraries that greatly enhance our GUI’s functionality. This book is what you need to expand your knowledge on the subject of GUIs, and make sure you’re not missing out in the long run.

http://m.turbobit.net/c38qyc46plic.html
27 Mb

[Williams]

Rituraj Dixit - Data Analysis with Python: Introducing NumPy, Pandas, Matplotlib, and Essential Elements of Python Programming

BPB Publications, 2023
epub, 276 pages, english
ISBN 978-9355510655



An Absolute Beginner’s Guide to Learning Data Analysis Using Python, a Demanding Skill for Today

Key Features
● Hands-on learning experience of Python's fundamentals.
● Covers various examples of how to code end-to-end data analysis with easy illustrations.
● An excellent starting point to begin your data analysis journey with Python programming.

Description
In an effort to provide content for beginners, the book ‘Data Analysis with Python’ provides a concrete first step in learning data analysis. Written by a data professional with decades of experience, this book provides a solid foundation in data analysis and numerous data science processes. In doing so, readers become familiar with common Python libraries and straightforward scripting techniques.

Python and many of its well-known data analysis libraries, such as Pandas, NumPy, and Matplotlib, are utilized throughout this book to carry out various operations typical of data analysis projects.

Following an introduction to Python programming fundamentals, the book combines well-known numerical calculation and statistical libraries to demonstrate the fundamentals of programming, accompanied by many practical examples. This book provides a solid groundwork for data analysis by teaching Python programming as well as Python's built-in data analysis capabilities.

What you will learn
● Learn the fundamentals of core Python programming for data analysis.
● Master Python's most demanding data analysis and visualization libraries, including Pandas, NumPy, and Matplotlib.
● Refresh your step-by-step data analysis process with live examples.
● Extend your expertise to include real-time data analysis and the creation of simple Python scripts.
● Work with external files such as Excel, CSV, and others to clean them up for further analysis.

Who this book is for
This book is intended to help and teach college students and data professionals about Python's data analysis capabilities while also allowing them to work with Python tools.
Before diving into this book, working knowledge of Python is a definite plus.

Table of Contents
1. Introducing Python
2. Environment Setup for Development
3. Operators and Built-in Data Types
4. Conditional Expressions in Python
5. Loops in Python
6. Functions and Modules in Python
7. Working with Files I/O in Python
8. Introducing Data Analysis
9. Introducing Pandas
10. Introduction to NumPy
11. Introduction to Matplotlib
12. Connecting Dots Step by step Data Analysis Hands-on Use Case

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thon_Programming.rar.html