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.

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27 Mb

[Williams]

Dr. Yong Cui - Python How-To (MEAP v10)

Manning Publications, 2023
pdf, 654 pages, english
ISBN 9781617299742



Have you ever asked yourself, “How do I do that in Python?” If so, you’ll love this practical collection of the most important Python techniques.

Python How-To includes over 60 detailed answers to questions like
How do I join and split strings?
How do I access dictionary keys, values, and items?
How do I set and use the return value in function calls?
How do I process JSON data?
How do I create lazy attributes to improve performance?
How do I change variables in a different namespace?
…and much more

Python How-To walks you through the most important coding techniques in Python. Whether you’re doing data science, building web applications, or writing admin scripts, you’ll find answers to your “how-to” questions in this book. Author Yong Cui’s clear and practical writing is perfect for beginners and veterans alike, with insightful code snippets, interesting graphics, and challenging exercises. Along the way, you’ll learn how to take advantage of Python’s versatile tools and libraries.

No matter where you are on your Python journey, you’re going to run into situations where you ask “How do I do that?” This book gives you concrete answers to the most common questions in areas like manipulating text, working with collections, managing objects and functions, file management, and so on.

As one of the most popular languages, Python is the choice of language for many first-time coding learners. Its open-source, general-purpose, platform-independent nature has engendered probably the most active developer community, which has resulted in tens of thousands of freely available libraries for web development, Machine Learning (ML), Data Science, and many other specialties. No matter whether you just started with coding in Python or programming in general, I hope that we share the same belief: we’ve entered an era in which knowing to code in Python gives you a tremendous advantage — you’re having access to numerous tools that Python has to offer.

As you may realize, Python is so versatile that it has a plethora of tools for many specialty domains, such as finance, engineering, Data Science, and Artificial Intelligence. If you're entering or about to enter one of these domains, knowing Python will make your work much easier because of the access to these handy tools. However, using these tools requires you have a solid understanding of the essential Python skills, which are this book's focus — teaching you domain-independent Python knowledge. No matter how sophisticated your domain-specific Python tool is, it won't take long for you to figure it out!

In the Python ecosystem, we use domain-specific Python tools, such as web frameworks and ML libraries, to address specific tasks in our jobs. The effective employment of these tools is nontrivial, as it requires a considerable breadth of familiarity with essential Python skills, such as processing texts, dealing with structured data, creating control flows, and handling files. Python programmers can write different solutions to address the same tasks. Among these solutions, one of them is probably better than the remaining, because it may be more concise, more readable, or more efficient, which we term as Pythonic — an idiomatic coding style that all Python programmers strive to acquire. It is what this book is about — how to write Pythonic code to address programming tasks.

Python How-To is full of techniques and best practices for writing readable and maintainable Python code, with careful cross-referencing that reveals how the same concept can be used in different contexts. Each chapter stands alone, so you can dip in whenever you need a practical solution to a common Python problem.

For beginning to intermediate Python programmers.

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Rob Reider, Alex Michalka - Build a Robo Advisor with Python (From Scratch) (MEAP V01)

Manning Publications, 2023
pdf, 300 pages, english
ISBN 9781633439672



Take control of your wealth management by building your own reliable, effective, and automated financial advisor tool.

In Build a Robo Advisor with Python (From Scratch) you’ll learn how to:
Measure returns and estimate the benefits of robo advisors
Use Monte Carlo simulations to build and test financial planning tools
Construct diversified, efficient portfolios using optimization and other advanced methods
Implement and evaluate rebalancing methods to track a target portfolio over time
Decrease taxes through tax-loss harvesting and optimized withdrawal sequencing
Use reinforcement learning to find the optimal investment path up to, and after, retirement

Every day automated digital advisors, also called robo advisors, make financial decisions worth millions of dollars. Build a Robo Advisor with Python (From Scratch): Automate your financial and investment decisions teaches you how to construct a Python-based financial advisor of your very own! You’ll develop a flexible tool that’s capable of managing a real investing strategy—all with popular free Python libraries.

Automated “robo advisors” are commonplace in financial services, thanks to their ability to give high-quality investment advice at a fraction of the cost of human advisors. Your own robo advisor will be a real asset for your financial planning, whether you’re saving for retirement, creating a diversified portfolio, or trying to ensure your tax efficiency.

In Build a Robo Advisor with Python (From Scratch), you’ll design and develop a working financial advisor that can manage a real investing strategy. You’ll add new features to your advisor chapter-by-chapter, including determining the optimal weight of cryptocurrency in your portfolio, rebalancing to keep your investments on target while minimizing taxes, and using reinforcement learning to find a “glide path” that can maximize how long your money will last in retirement. Best of all, the skills you learn in reinforcement learning, convex optimization, and Monte Carlo methods can be applied to numerous lucrative fields beyond the domain of finance.

https://www.upload.ee/files/14863009/Build_a_Robo_Advisor_with_Python__From_Scratch__MEAP_V01.rar.html