HTML, CSS & JavaScript Web Publishing in One Hour a Day

Laura Lemay, Rafe Colburn, Jennifer Kyrnin

Thoroughly revised and updated with examples rewritten to conform to HTML5, CSS3, and contemporary web development practices, this easy-to-understand, step-by-step tutorial helps you quickly master the basics of HTML and CSS before moving on to more advanced topics such as graphics, video, and interactivity with javascript and jQuery

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#کتاب #Html #Css #Javascript #JQuery #طراحی_سایت

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HTML, CSS & JavaScript Web Publishing in One Hour a Day

Laura Lemay, Rafe Colburn, Jennifer Kyrnin

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#کتاب #Html #Css #Javascript #JQuery #طراحی_سایت

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 Beginning Ethical Hacking with Kali Linux: Computational Techniques for Resolving Security Issues

Sanjib Sinha

Get started in white-hat ethical hacking using Kali Linux. This book starts off by giving you an overview of security trends, where you will learn the OSI security architecture. This will form the foundation for the rest of Beginning Ethical Hacking with Kali Linux. With the theory out of the way, you’ll move on to an introduction to VirtualBox, networking, and common Linux commands, followed by the step-by-step procedure to build your own web server and acquire the skill to be anonymous . When you have finished the examples in the first part of your book, you will have all you need to carry out safe and ethical hacking experiments.
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#کتاب #هک #امنیت #کالی‌لینوکی
#Kalilinux #kali #Hacking

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 Beginning Ethical Hacking with Kali Linux: Computational Techniques for Resolving Security Issues

What You Will Learn
• Master common Linux commands and networking techniques
• Build your own Kali web server and learn to be anonymous
• Carry out penetration testing using Python
• Detect sniffing attacks and SQL injection vulnerabilities
• Learn tools such as SniffJoke, Wireshark, Scapy, sqlmap, OpenVas, Nikto, and Burp Suite
• Use Metasploit with Kali Linux
• Exploit remote Windows and Linux systems

Who This Book Is For
Developers new to ethical hacking with a basic understanding of Linux programming.

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#کتاب #هک #امنیت #کالی‌لینوکی
#Kalilinux #kali #Hacking

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Python Data Analytics: With Pandas, NumPy, and Matplotlib

Fabio Nelli

Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn.

This revision is fully updated with new content on social media data analysis, image analysis with OpenCV, and deep learning libraries. Each chapter includes multiple examples demonstrating how to work with each library.

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#کتاب #علم_داده #پایتون

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Python Data Analytics: With Pandas, NumPy, and Matplotlib

Fabio Nelli
Year:2018
Publisher:Apress

What You'll Learn
Understand the core concepts of data analysis and the Python ecosystem
Go in depth with pandas for reading, writing, and processing data
Use tools and techniques for data visualization and image analysis
Examine popular deep learning libraries Keras, Theano,TensorFlow, and PyTorch

Who This Book Is For
Experienced Python developers who need to learn about Pythonic tools for data analysis

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#کتاب #علم_داده #پایتون
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نحوه گسترش کرونا #covid19 از ۲۲ ژانویه تا ۵ مارچ در جهان

البته بسیار هم هشدار دهنده که توصیه های بهداشتی برای پیشگیری را رعایت کنیم و حتی‌المقدور در خانه بمانیم .

#کرونا #در_خانه_بمانیم
#علم_داده

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Kali Linux Revealed - Mastering the Penetration Testing Distribution

Raphaël Hertzog, Jim O’Gorman, Mati Aharoni


Year:2017

Publisher:Offsec Press

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#کتاب #هک #امنیت #کالی‌لینوکس
#Kalilinux #kali #Hacking

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Kali Linux Revealed - Mastering the Penetration Testing Distribution


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#کتاب #هک #امنیت #کالی‌لینوکس
#Kalilinux #kali #Hacking

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Kali Linux Web Penetration Testing Cookbook, Second Edition

Gilberto Najera-Gutierrez

Kali Linux is the most popular open-source penetration toolkit used for effective web penetration testing. This book will teach you, in the form of step-by-step recipes, how to detect a wide array of vulnerabilities, exploit them to analyze their consequences, and ultimately buffer attackable surfaces so applications are more secure.

Year:2018
Publisher:Packt

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#کتاب #هک #امنیت #کالی‌لینوکس
#Kalilinux #kali #Hacking

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Kali Linux Web Penetration Testing Cookbook, Second Edition

Gilberto Najera-Gutierrez

Year:2018
Publisher:Packt

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#کتاب #هک #امنیت #کالی‌لینوکس
#Kalilinux #kali #Hacking

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آموزش برنامه نویسی شیء گرا در پایتون
مدرس: مجید خراشادیزاده
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#پایتون #شی‌گرایی

🆔 @Max_Academy

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Hadley Wickham, Garrett Grolemund

Year:2017

Publisher:O’Reilly Media

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible.

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#علم_داده #زبان‌برنامه‌نویسیR

🆔 @Programming4all_0to100

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

You’ll learn how to:

▪️Wrangle—transform your datasets into a form convenient for analysis

▪️Program—learn powerful R tools for solving data problems with greater clarity and ease

▪️Explore—examine your data, generate hypotheses, and quickly test them

▪️Model—provide a low-dimensional summary that captures true "signals" in your dataset

▪️Communicate—learn R Markdown for integrating prose, code, and results

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فیلمهای آموزش زبان برنامه نویسی R (به زبان فارسی در ۳۷ قسمت) را از این لینک دریافت کنید

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#علم_داده #زبان‌برنامه‌نویسیR

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Practical Statistics for Data Scientist

Peter Bruce, Andrew Bruce

Year:2017

Publisher:O’Reilly


Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.

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🆔 @Programming4all_0to100

Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.

With this book, you’ll learn:

Why exploratory data analysis is a key preliminary step in data science
How random sampling can reduce bias and yield a higher quality dataset, even with big data
How the principles of experimental design yield definitive answers to questions
How to use regression to estimate outcomes and detect anomalies
Key classification techniques for predicting which categories a record belongs to
Statistical machine learning methods that “learn” from data
Unsupervised learning methods for extracting meaning from unlabeled data

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Python for Probability, Statistics, and Machine Learning

José Unpingco

Year:2016
Publisher:Springer

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 and Python codes, thereby connecting theoretical concepts to concrete implementations.


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Modern Python modules like Pandas, Sympy, and Scikit-learn are applied to simulate and visualize important machine learning concepts like the bias/variance trade-off, cross-validation, and regularization. Many abstract mathematical ideas, such as convergence in probability theory, are developed and illustrated with numerical examples. This book is suitable for anyone with an undergraduate-level exposure to probability, statistics, or machine learning and with rudimentary knowledge of Python programming.

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Deep Learning with Python

Francois Chollet

Year:2017
Publisher:Manning Publications

📖Summary: Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples.

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#کتاب #پایتون #یادگیری_عمیق


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Deep Learning with Python

▪️Table of Contents
PART 1 - FUNDAMENTALS OF DEEP LEARNING

▫️What is deep learning?
▫️Before we begin: the mathematical ▫️building blocks of neural networks
▫️Getting started with neural networks
▫️Fundamentals of machine learning

▪️PART 2 - DEEP LEARNING IN PRACTICE

▫️Deep learning for computer vision
▫️Deep learning for text and sequences
▫️Advanced deep-learning best practices
▫️Generative deep learning
▫️Conclusions
▫️appendix A - Installing Keras and its dependencies on Ubuntu
▫️appendix B - Running Jupyter notebooks on an EC2 GPU instance

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Build a Web Application with Python, Flask and NLP

Share the joy of famous quotes with a cloud-based web app using natural language processing to hit the right mood!

6,295 students

2hr 8min 
‼️شرکت در دوره رایگان است

لینک ورود به دوره 🔰
https://www.udemy.com/course/build-a-web-application-with-python-flask-and-nlp/?
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📌برای مشاهده ویدیوها ( زبان فارسی )و پیدا کردن کتابهای آموزشی ،هشتگ ها را در کانال دنبال کنید👇
#پایتون #NLP #پردازش‌زبان‌طبیعی #udemy_course

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