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::LAVteam:: > Обо всём по-немногу > Фолианты > Компьютерная литература
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.

27 Mb
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Цитата(Ad_amant @ 10.06.2017 - 15:29) *
sad.gif не скачивается без смс

Все ОК.
попап с смс просто закрыть, и скачать нормально без проблем.
Link seems to be down, I found first edition here: https://we.riseup.net/assets/346116/Python+GUI+Programming+Cookbook.pdf
QUOTE (orlyboy @ 4.07.2018 - 05:39) *
QUOTE (krasny @ 11.04.2018 - 00:38) *
Link seems to be down, I found first edition here: https://we.riseup.net/assets/346116/Python+GUI+Programming+Cookbook.pdf

Thanks for the share.

Hi to all
here is a working link to the second Edition


(Don't forget to replace xx to tt)

Best Regards
where can i find a good tutorial ?
Thanks for sharing this wonderful book. I've been looking for a while. It helps.
Yang Hu - Easy Learning Data Structures & Algorithms Python 3: Data Structures and Algorithms Guide in Python

Independently published, 2019
azw3 , 208 pages, english
ISBN13: 9781098735487

Data Structures and Algorithms Python 3, It is designed to be easy to read and understand although the topic itself is complicated. Algorithms are the procedures that software programs use to manipulate data structures.

Ben Stephenson - The Python Workbook: A Brief Introduction with Exercises and Solutions, Second Edition

Springer, 2019
epun, 218 pages, english
ISBN-13: 978-3319142395
ISBN-10: 3319142399

This student-friendly textbook encourages the development of programming skills through active practice by focusing on exercises that support hands-on learning. The Python Workbook provides a compendium of 186 exercises, spanning a variety of academic disciplines and everyday situations. Solutions to selected exercises are also provided, supported by brief annotations that explain the technique used to solve the problem, or highlight a specific point of Python syntax.

This enhanced new edition has been thoroughly updated and expanded with additional exercises, along with concise introductions that outline the core concepts needed to solve them. The exercises and solutions require no prior background knowledge, beyond the material covered in a typical introductory Python programming course.

Features: uses an accessible writing style and easy-to-follow structure; includes a mixture of classic exercises from the fields of computer science and mathematics, along with exercises that connect to other academic disciplines; presents the solutions to approximately half of the exercises; provides annotations alongside the solutions, which explain the approach taken to solve the problem and relevant aspects of Python syntax; offers a variety of exercises of different lengths and difficulties; contains exercises that encourage the development of programming skills using if statements, loops, basic functions, lists, dictionaries, files, and recursive functions.

Undergraduate students enrolled in their first programming course and wishing to enhance their programming abilities will find the exercises and solutions provided in this book to be ideal for their needs.

Mark Lutz - Python Pocket Reference: Python In Your Pocket, 5th Edition (Rev. 5)

O'Reilly Media, 2018
pdf, 264 pages, english
ISBN-13: 978-1449357016
ISBN-10: 1449357016

This pocket reference summarizes Python types and statements, special method names, built-in functions and exceptions, commonly used standard library modules, and other prominent Python tools. It is intended to serve as a concise reference tool for developers and is designed to be a companion to other books that provide tutorials, code examples, and other learning materials.

This fifth edition covers both Python 3.X and 2.X. It focuses primarily on 3.X, but also documents differences in 2.X along the way. Specifically, this edition has been updated to be current with Python versions 3.3 and 2.7 as well as prominent enhancements in the imminent 3.4 release, although most of its content also applies both to earlier and to later releases in the 3.X and 2.X lines.

This edition also applies to all major implementations of Python—including CPython, PyPy, Jython, IronPython, and Stackless—and has been updated and expanded for recent changes in language, libraries, and practice. Its changes include new coverage of the MRO and super(); formal algorithms of inheritance, imports, context managers, and block indentation; and commonly used library modules and tools, including json, timeit, random, subprocess, enum, and the new Windows launcher.

This fifth edition covers:
• Built-in object types, including numbers, lists, dictionaries, and more
• Statements and syntax for creating and processing objects
• Functions and modules for structuring and reusing code
• Python's object-oriented programming tools
• Built-in functions, exceptions, and attributes
• Special operator overloading methods
• Widely used standard library modules and extensions
• Command-line options and development tools
• Python idioms and hints
• The Python SQL Database API


Brett Slatkin - Effective Python

Addison-Wesley Professional, 2015
pdf, 238 pages, english
ISBN-13: 978-0134034287
ISBN-10: 9780134034287

It's easy to start writing code with Python: that's why the language is so immensely popular. However, Python has unique strengths, charms, and expressivity that can be hard to grasp at first -- as well as hidden pitfalls that can easily trip you up if you aren't aware of them. Effective Python will help you harness the full power of Python to write exceptionally robust, efficient, maintainable, and well-performing code. Utilizing the concise, scenario-driven style pioneered in Scott Meyers's best-selling Effective C++, Brett Slatkin brings together 59 Python best practices, tips, shortcuts, and realistic code examples from expert programmers.

Through realistic examples, Slatkin uncovers little-known Python quirks, intricacies, and idioms that powerfully impact code behavior and performance. You'll learn how to choose the most efficient and effective way to accomplish key tasks when multiple options exist, and how to write code that's easier to understand, maintain, and improve.

Eric Matthes - Python Crash Course, 2nd Edition

No Starch Press, 2019
pdf, 544 pages, english
IBSN: 9781492071266

Second edition of the best selling Python book in the world. A fast-paced, no-nonsense guide to programming in Python. This book teaches beginners the basics of programming in Python with a focus on real projects.

This is the second edition of the best selling Python book in the world. Python Crash Course, 2nd Edition is a straightforward introduction to the core of Python programming. Author Eric Matthes dispenses with the sort of tedious, unnecessary information that can get in the way of learning how to program, choosing instead to provide a foundation in general programming concepts, Python fundamentals, and problem solving. Three real world projects in the second part of the book allow readers to apply their knowledge in useful ways.

Readers will learn how to create a simple video game, use data visualization techniques to make graphs and charts, and build and deploy an interactive web application. Python Crash Course, 2nd Edition teaches beginners the essentials of Python quickly so that they can build practical programs and develop powerful programming techniques.


Ravichandiran Sudharsan - Hands-On Reinforcement Learning with Python (+code)

Packt, 2018
pdf, 318 pages, english
ISBN: 9781788836524

A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python Reinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. Hands-On Reinforcement learning with Python will help you master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms. The book starts with an introduction to Reinforcement Learning followed by OpenAI Gym, and TensorFlow. You will then explore various RL algorithms and concepts, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration. This example-rich guide will introduce you to deep reinforcement learning algorithms, such as Dueling DQN, DRQN, A3C, PPO, and TRPO. You will also learn about imagination-augmented agents, learning from human preference, DQfD, HER, and many more of the recent advancements in reinforcement learning.

The Complete Python Manual – 3rd Edition 2019

English | 163 pages | PDF | 103.6 MB

Python Machine Learning - Third Edition
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Modern Python Cookbook: Updated for Python 3.8 2nd Edition
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Путь Python. Черный пояс по разработке, масштабированию, тестированию и развертыванию

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Ryan Wade - Advanced Analytics in Power BI with R and Python: Ingesting, Transforming, Visualizing

Apress, 2020
pdf, 425 pages, english
ISBN-13: 978-1484258286
ISBN-10: 1484258282

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 Microsoft Cognitive Services. The R and Python languages are powerful complements to Power BI. They enable advanced data transformation techniques that are difficult to perform in Power BI in its default configuration but become easier by leveraging the capabilities of R and Python. If you are a business analyst, data analyst, or a data scientist who wants to push Power BI and transform it from being just a business intelligence tool into an advanced data analytics tool, then this is the book to help you do that.

What You Will Learn
- Create advanced data visualizations via R using the ggplot2 package.
- Ingest data using R and Python to overcome some limitations of Power Query.
- Apply machine learning models to your data using R and Python without the need of Power BI premium compacity.
- Incorporate advanced AI in Power BI without the need of Power BI premium compacity via Microsoft Cognitive Services, IBM Watson Natural Language Understanding, and pre-trained models in SQL Server Machine Learning Services.
- Perform advanced string manipulations not otherwise possible in Power BI using R and Python.

David Mayer - Computer Certification 2021: 2 Books in 1 : Java Professional Guide, Python Institute
Complete guide to learn the secrets of Java and Python and obtain certification

certification-questions.com, 2021
pdf, 129 pages, english
ISBN-13: 978-1484258286
ISBN-10: 1484258282

aster Python & Java Programming Skills to Become Data Science Expert and & Start a Whole New Career!

Do you want to demonstrate your proficiency and skill through Python certifications? Do you want to succeed in Java certifications by your own?

If You Answered "Yes" To Any of The Above, Look No Further. This is the bundle for you!

Getting certified as a Data Scientist is one of the best achievements you can achieve to enter the job market as a developer! Python and Java are ranked as the second most in-demand programming language in the world. It can be applied in web applications, machine learning, self-driving cars, data science, automation, and much more! This bundle is not only good for the preparation of test but also helpful for all students who want to test their knowledge of Python and Java programming language.

This bundle is designed to support you master the most in-demand and critical components for becoming Java and Python certified. Data Science certification is relatively important to open up new vistas of opportunities in your professional career. This bundle covers 100% of exam information, ensuring that you have complete understanding to choose which is the right certification exam for you.

Bundle consists of the following:

Book 1: Java Professional Guide

Basics & Fundamentals of Java Exam
1Z0-803 - JAVA SE 7
PROGRAMMER I: Exam Guide & Sample Practice Test
1Z0-804 - JAVA SE 7
PROGRAMMER II: Exam Guide & Sample Practice Test
1Z0-808 - JAVA SE 8
PROGRAMMER I: Exam Guide & Sample Practice Test
OCP: Exam Guide & Sample Practice Test
By the end of this book you will be prepared to take the Java certification Exams

Book 2: Python Institute

Basics & Fundamentals of Python Exams
Prepare for Python Certifications
100% verified answers and explanations to each question
Build the skills and confidence to crush the Python exam
By the end of this book you will be prepared to take the Python certification Exams
Finishing this book will provide you a complete understanding and deep knowledge of all the tools

Felix Zumstein - Python for Excel: A Modern Environment for Automation and Data Analysis

O’Reilly Media, 2021
epub, 315 pages, english
ISBN: 9781492081005

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 for automating Excel with Python - shows experienced Excel users how to integrate these two worlds efficiently.

Excel has added quite a few new capabilities over the past couple of years, but its automation language, VBA, stopped evolving a long time ago. Many Excel power users have already adopted Python for daily automation tasks. This guide gets you started.
- Use Python without extensive programming knowledge.
- Get started with modern tools, including Jupyter notebooks and Visual Studio code.
- Use pandas to acquire, clean, and analyze data and replace typical Excel calculations.
- Automate tedious tasks like consolidation of Excel workbooks and production of Excel reports.
- Use xlwings to build interactive Excel tools that use Python as a calculation engine.
- Connect Excel to databases and CSV files and fetch data from the internet using Python code.
- Use Python as a single tool to replace VBA, Power Query, and Power Pivot.

Felix Zumstein - Python for Excel: A Modern Environment for Automation and Data Analysis
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Abiijit Kar Gupta - Scientific Computing in Python (Revised Second edition, Python 3)

Techno World Publication, 2021
pdf, 668 pages, english

This book is a gentle introduction to Python for students and research scholars in science and engineering and also for anyone who finds it fascinating to do computation. Concepts are explained in lucid language with necessary details, Python scripts and graphical demonstrations. The reader requires no prior knowledge of programming. The chapters are classified under Core Python, Computation with external packages (NumPy, SciPy, Matplotlib, SymPy, Pandas), Applications in Science (Numerical Methods), and Special Applications (Quantum and Statistical Mechanics) followed by some additional topics. The material in this book took shape from the regular courses taught for UG and PG students at the department and a course on Computational Physics in Python delivered at Ashoka University, New Delhi. Various suggestions and ideas are incorporated that emerged from numerous workshops and seminars on Python Computing in last few years in and around Kolkata.

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Eric Pimpler - Programming ArcGIS Pro with Python, 2nd Edition + Exercise Data

Eric Pimpler, 2021
pdf, 263 pages, english

Eric Pimpler is the founder and owner of Geospatial Training Services (geospatialtraining.com) and have over 25 years of experience implementing and teaching GIS solutions using Esri software. Currently he focuses on ArcGIS Pro and Desktop scripting with Python and the development of custom ArcGIS Enterprise (Server) and ArcGIS Online web and mobile applications with JavaScript.

You’ll learn the basic constructs of this powerful, easy to learn language for automating your ArcGIS Pro geoprocessing tasks. You’ll also learn how to install, configure, and write scripts using the popular PyCharm development environment. We’ll then dive into the details of the ArcGIS Pro arcpy module by learning how to execute geoprocessing tools from your scripts. From there you’ll learn how to manage project and layer files, and manage the data within those files. You’ll discover how to programmatically add, insert, remove, and move layers in table of contents. Next, you’ll learn how to apply symbology and update properties of layers, work with 2D and 3D display properties, and manage layouts. You’ll also learn how to automate map production through the use of map series functionality, formerly called map books. The later part of the books covers attribute and spatial queries, and the creation of selection sets for feature classes and tables along with the arcpy data access module for insert, updating, and deleting data from feature classes and tables. Finally, we’ll close the book by discovering how you can create your own custom geoprocessing tools using custom toolboxes with ArcGIS Pro and Python.

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Opaleke Olaide - Learning Python Language Made Easy
Become a fullstack Developer irrespective of gender

Tutorials Point, 2021
pdf + epub, 1002 pages, english

The world has gotten to the tech age in which everyone irrespective of gender must have a tech skill. Python Programming language is the only language that is having a wide number of usage, it's used in ethical hacking, website development, mobile app development etc. Having this book with you will broaden your horizon as much as you're dedicated and ready to practice. Programming is a skill you can learn and earn passive income at the end of your training.

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