کتابخانه مهندسی کامپیوتر و پایتون
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Hands_on_Penetration_Testing_for_Web_Applications_Run_Web_Security.epub
11.5 MB
Hands-on Penetration Testing for Web Applications


Run Web Security Testing on Modern Applications Using Nmap, Burp Suite and Wireshark

Author(s): Richa Gupta
Publisher: BPB Publications, Year: 2021


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#امنیت #تست_نفوذ
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gray-hat-python-datisnetwork.pdf
3.1 MB
کتاب آموزش برنامه نویسی #پایتون برای کلاه خاکستری‌ ها ، ترجمه فارسی کتاب Gray Hat Python: Python Programming for Hackers and Reverse Engineers


منبع : وبسایت داتیس نتورک

🆔 @Programming4all_0to100
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Practical Machine Learning with Python: A Problem-Solver’s Guide to Building Real-World Intelligent Systems

Author(s): Dipanjan Sarkar, Raghav Bali, Tushar Sharma
Publisher: Apress, Year: 2017

Description:
Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build, and execute machine learning systems and projects successfully.

Practical Machine Learning with Pythonfollows a structured and comprehensive three-tiered approach packed with hands-on examples and code


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#یادگیری_ماشین #پایتون

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Dipanjan Sarkar, Raghav Bali, Tushar Sharma - Practical Mach.pdf
13.3 MB
Practical Machine Learning with Python_ A Problem-Solver’s Guide to Building Real-World Intelligent Systems

Practical Machine Learning with Pythonwill empower you to start solving your own problems with machine learning

What You'll Learn

Execute end-to-end machine learning projects and systems

Implement hands-on examples with industry standard, open source, robust machine learning tools and frameworks

Review case studies depicting applications of machine learning and deep learning on diverse domains and industries
Apply a wide range of machine learning models including regression, classification, and clustering.
Understand and apply the latest models and methodologies from deep learning including CNNs, RNNs, LSTMs and transfer learning.

Who This Book Is For
IT professionals, analysts, developers, data scientists, engineers, graduate students


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#یادگیری_ماشین #پایتون

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24 Patterns for Clean Code. Techniques for Faster, Safer Code with Minimal Debugging


Author(s): Beisert Robert.

Description:

There is the right way to do things, and there's the wrong way to do things. Unfortunately, most of us don't really take the time to figure out which way is which.

Robert lays out 24 patterns of thought and design that tend to produce faster, more reliable, and easier to maintain code without noticeably increasing the difficulty or decreasing the speed of coding. In this book, you'll learn about Niklaus Wurth's 3-10 rule, speed-documenting tools, and the techniques that keep memory leaks out of your code.

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Beisert Robert. - 24 Patterns for Clean Code. Techniques for.pdf
4.6 MB
24 Patterns for Clean Code. Techniques for Faster, Safer Code with Minimal Debugging


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💢آموزش پایتون با تمرکز بر هوش مصنوعی و یادگیری ماشین
🔹مدرس : مهندس تقی زاده

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‼️برای دیدن‌مطالب بیشتر هشتگ ها را در کانال دنبال کنید 👇
#پایتون #هوش_مصنوعی #یادگیری_ماشین

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Django 3 By Example: Build powerful and reliable Python web applications from scratch

Description:
Learn Django 3 with four end-to-end web projects Key Features Learn Django 3 by building real-world web applications from scratch in Python, using coding best practices Integrate other technologies into your application with clear, step-by-step explanations and comprehensive example code Implement advanced functionalities like a full-text search engine, a user activity stream, or a recommendation engine Add real-time features with Django Channels and WebSockets Book Description If you want to learn the entire process of developing professional web applications with Python and Django, then this book is for you. In the process of building four professional Django projects, you will learn about Django 3 features, how to solve common web development problems, how to implement best practices



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#پایتون #Django

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Antonio_Melé_Django_3_By_Example_Build_powerful_and_relia.pdf
9.1 MB
Django 3 By Example_ Build powerful and reliable Python web applications from scratch-Packt Publishing Ltd (2020)

In this book, you will build a blog application, a social image bookmarking website, an online shop, and an e-learning platform.
Who this book is for This book is intended for developers with Python knowledge who wish to learn Django in a pragmatic way. Perhaps you are completely new to Django, or you already know a little but you want to get the most out of it. This book will help you to master the most relevant areas of the framework by building practical projects from scratch. You need to have familiarity with programming concepts in order to read this book. Some previous knowledge of HTML and JavaScript is assumed.


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#پایتون #Django

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Data Science Using Oracle Data Miner and Oracle R Enterprise




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Data Science Using Oracle Data Miner and Oracle R Enterprise.pdf
13 MB
Data Science Using Oracle Data Miner and Oracle R Enterprise




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#علم_داده

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Python Feature Engineering Cookbook: Over 70 Recipes for Creating, Engineering, and Transforming Features to Build Machine Learning Models

Author(s): Soledad Galli
Publisher: Packt Publishing Ltd, Year: 2020

Description:
Extract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and scikit-learn libraries


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#پایتون

🆔 @Programming4all_0to100
Soledad Galli - Python Feature Engineering Cookbook_ Over 70.pdf
8.3 MB
In this cookbook, you will work with the best tools to streamline your feature engineering pipelines and techniques and simplify and improve the quality of your code.

Using Python libraries such as pandas, scikit-learn, Featuretools, and Feature-engine, you’ll learn how to work with both continuous and discrete datasets and be able to transform features from unstructured datasets. You will develop the skills necessary to select the best features as well as the most suitable extraction techniques. This book will cover Python recipes that will help you automate feature engineering to simplify complex processes. You’ll also get to grips with different feature engineering strategies, such as the box-cox transform, power transform, and log transform across machine learning, reinforcement learning, and natural language processing (NLP) domains.

By the end of this book, you’ll have discovered tips and practical solutions to all of your feature engineering problems.


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📘Beginning Robotics with Raspberry Pi and Arduino: Using Python and OpenCV

Author(s): Jeff Cicolani
Series: Technology in Action
Publisher: Apress
Year: 2021

#پایتون #open_cv
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Cicolani2021_Book_BeginningRoboticsWithRaspberry.pdf
7.3 MB
Beginning Robotics with Raspberry Pi and Arduino Using Python and OpenCV Second Edition


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Programming Google App Engine with Python


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#پایتون
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Programming Google App Engine with Python.pdf
6.6 MB
Programming Google App Engine with Python


‼️هشتگ ها را در کانال دنبال کنید 👇
#پایتون
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📘Build Systems With Go: Everything a Gopher must know

Author(s): Tirado, Juan
Year: 2021

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