Python web penetration testing
یکی از کاربرد های اساسی پایتون توسعه ابزار های تستینگ و دیباگینگ سرور هست. این کتاب برای علاقه مندان حوزه های تستینگ میتونه گزینه خوبی باشه
🆔 @Programming4all_0to100
یکی از کاربرد های اساسی پایتون توسعه ابزار های تستینگ و دیباگینگ سرور هست. این کتاب برای علاقه مندان حوزه های تستینگ میتونه گزینه خوبی باشه
🆔 @Programming4all_0to100
Docker for Developers (2020)
فیلم های آموزش داکر را از این لینک دریافت کنید
🆔 @Programming4all_0to100
فیلم های آموزش داکر را از این لینک دریافت کنید
🆔 @Programming4all_0to100
Deep Learning with Applications Using Python
Author: Navin Kumar Manaswi
Description:
Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications. Deep Learning with Applications Using Python covers topics such as chatbots, natural language processing, and face and object recognition. The goal is to equip you with the concepts, techniques, and algorithm implementations needed to create programs capable of performing deep learning.
This book covers convolutional neural networks, recurrent neural networks, and multilayer perceptrons. It also discusses popular APIs such as IBM Watson, Microsoft Azure, and scikit-learn.
#پایتون #یادگیری_عمیق
🆔 @Programming4all_0to100
Author: Navin Kumar Manaswi
Description:
Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications. Deep Learning with Applications Using Python covers topics such as chatbots, natural language processing, and face and object recognition. The goal is to equip you with the concepts, techniques, and algorithm implementations needed to create programs capable of performing deep learning.
This book covers convolutional neural networks, recurrent neural networks, and multilayer perceptrons. It also discusses popular APIs such as IBM Watson, Microsoft Azure, and scikit-learn.
#پایتون #یادگیری_عمیق
🆔 @Programming4all_0to100
Deep_Learning_with_Applications_Using_Python_Chatbots_and_Face,.pdf
11.3 MB
📘Deep Learning with Applications Using Python - 2018
▪️What You Will Learn
Work with various deep learning frameworks such as TensorFlow, Keras, and scikit-learn.
Use face recognition and face detection capabilities
Create speech-to-text and text-to-speech functionality
Engage with chatbots using deep learning
▪︎ Who This Book Is For
Data scientists and developers who want to adapt and build deep learning applications.
🆔 @Programming4all_0to100
▪️What You Will Learn
Work with various deep learning frameworks such as TensorFlow, Keras, and scikit-learn.
Use face recognition and face detection capabilities
Create speech-to-text and text-to-speech functionality
Engage with chatbots using deep learning
▪︎ Who This Book Is For
Data scientists and developers who want to adapt and build deep learning applications.
🆔 @Programming4all_0to100
📘Building Django 2.0 Web Applications: Create enterprise-grade, scalable Python web applications easily with Django 2.0
✒️Tom Aratyn (2018)
🆔 @Programming4all_0to100
✒️Tom Aratyn (2018)
🆔 @Programming4all_0to100
Building_Django_2_0_Web_Applications_Create_enterprise_grade,_scalable.pdf
2.3 MB
Building Django 2.0 Web Applications: Create enterprise-grade, scalable Python web applications easily with Django 2.0
Tom Aratyn (2018)
@Programming4all_0to100
Tom Aratyn (2018)
@Programming4all_0to100
RHCSA Red Hat Enterprise Linux 8: Training and Exam Preparation Guide (EX200)
Author(s): Asghar Ghori
Publisher: Asghar Ghori, Year: 2020
🆔 @Programming4all_0to100
Author(s): Asghar Ghori
Publisher: Asghar Ghori, Year: 2020
🆔 @Programming4all_0to100
Linux @Max_Academy.pdf
69.1 MB
Description:
This book has 21 chapters that are organized logically. It covers the topics on local RHEL 8 installation; initial interaction with the system and basic commands; compression and archiving; file editing and manipulation; standard and special permissions; file searching and access controls; user monitoring and authentication files; users, groups, and password aging; bash shell features and startup files; processes and task scheduling; basic and advanced software administration techniques; system boot process and bootloader; kernel management and system initialization; logging and system tuning; basic and advanced storage management tools and solutions; local and remote file systems and swap regions; network device and connection configuration; time synchronization and hostname resolution; the secure shell service; and firewall and SELinux controls.
🆔 @Programming4all_0to100
This book has 21 chapters that are organized logically. It covers the topics on local RHEL 8 installation; initial interaction with the system and basic commands; compression and archiving; file editing and manipulation; standard and special permissions; file searching and access controls; user monitoring and authentication files; users, groups, and password aging; bash shell features and startup files; processes and task scheduling; basic and advanced software administration techniques; system boot process and bootloader; kernel management and system initialization; logging and system tuning; basic and advanced storage management tools and solutions; local and remote file systems and swap regions; network device and connection configuration; time synchronization and hostname resolution; the secure shell service; and firewall and SELinux controls.
🆔 @Programming4all_0to100
Ng-Book: The Complete Guide to Angular 9
Author(s): Nathan Murray; Felipe Coury; Ari Lerner; Carlos Taborda
Publisher: Fullstack.io, Year: 2020
Description:
The in-depth, complete, and up-to-date book on Angular 9. Become an Angular 9 expert today
🆔 @Programming4all_0to100
Author(s): Nathan Murray; Felipe Coury; Ari Lerner; Carlos Taborda
Publisher: Fullstack.io, Year: 2020
Description:
The in-depth, complete, and up-to-date book on Angular 9. Become an Angular 9 expert today
🆔 @Programming4all_0to100
📘Raspberry Pi Computer Vision Programming: Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3, 2nd Edition. Code
▪️Author(s): Ashwin Pajankar
Publisher: Packt Publishing, Year: 2020
▪️Description:
Code .
Perform a wide variety of computer vision tasks such as image processing and manipulation, feature and object detection, and image restoration to build real-life computer vision applications
‼️هشتگ ها را در کانال دنبال کنید 👇
#پایتون #اینترنت_اشیا #آردوینو #رزبری‌پای
برای دانلود کتابهای بیشتر در کانال عضو شوید
🆔 @Programming4all_0to100
▪️Author(s): Ashwin Pajankar
Publisher: Packt Publishing, Year: 2020
▪️Description:
Code .
Perform a wide variety of computer vision tasks such as image processing and manipulation, feature and object detection, and image restoration to build real-life computer vision applications
‼️هشتگ ها را در کانال دنبال کنید 👇
#پایتون #اینترنت_اشیا #آردوینو #رزبری‌پای
برای دانلود کتابهای بیشتر در کانال عضو شوید
🆔 @Programming4all_0to100
Raspberry pi @Max_Academy.pdf
12.2 MB
▪️What you will learn
Set up a Raspberry Pi for computer vision applications
Perform basic image processing with libraries such as NumPy, Matplotlib, and OpenCV
Demonstrate arithmetical, logical, and other operations on images
Work with a USB webcam and the Raspberry Pi Camera Module
Implement low-pass and high-pass filters and understand their applications in image processing
Cover advanced techniques such as histogram equalization and morphological transformations
Create GUI apps with Python 3 and OpenCV
Perform machine learning with K-means clustering and image quantization
▪️Who this book is for
This book is for beginners as well as experienced Raspberry Pi and Python 3 enthusiasts who are looking to explore the amazing world of computer vision. Working knowledge of the Python 3 programming language
‼️هشتگ ها را در کانال دنبال کنید 👇
#پایتون #اینترنت_اشیا #آردوینو #رزبری‌پای
#OpenCV
برای دانلود کتابهای بیشتر در کانال عضو شوید
🆔 @Programming4all_0to100
Set up a Raspberry Pi for computer vision applications
Perform basic image processing with libraries such as NumPy, Matplotlib, and OpenCV
Demonstrate arithmetical, logical, and other operations on images
Work with a USB webcam and the Raspberry Pi Camera Module
Implement low-pass and high-pass filters and understand their applications in image processing
Cover advanced techniques such as histogram equalization and morphological transformations
Create GUI apps with Python 3 and OpenCV
Perform machine learning with K-means clustering and image quantization
▪️Who this book is for
This book is for beginners as well as experienced Raspberry Pi and Python 3 enthusiasts who are looking to explore the amazing world of computer vision. Working knowledge of the Python 3 programming language
‼️هشتگ ها را در کانال دنبال کنید 👇
#پایتون #اینترنت_اشیا #آردوینو #رزبری‌پای
#OpenCV
برای دانلود کتابهای بیشتر در کانال عضو شوید
🆔 @Programming4all_0to100
Pro Machine Learning Algorithms
Author(s): V Kishore Ayyadevara
Publisher: Apress, Year: 2018
Description:
Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop the algorithm in Excel so that you get a practical understanding of all the levers that can be tuned in a model, before implementing the models in Python/R.
You will cover all the major algorithms: supervised and unsupervised learning, which include linear/logistic regression; k-means clustering; PCA; recommender system; decision tree; random forest; GBM; and neural networks. You will also be exposed to the latest in deep learning through CNNs, RNNs, and word2vec for text mining.
‼️هشتگ ها را در کانال دنبال کنید 👇
#پایتون #یادگیری_ماشین
🆔 @Programming4all_0to100
Author(s): V Kishore Ayyadevara
Publisher: Apress, Year: 2018
Description:
Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop the algorithm in Excel so that you get a practical understanding of all the levers that can be tuned in a model, before implementing the models in Python/R.
You will cover all the major algorithms: supervised and unsupervised learning, which include linear/logistic regression; k-means clustering; PCA; recommender system; decision tree; random forest; GBM; and neural networks. You will also be exposed to the latest in deep learning through CNNs, RNNs, and word2vec for text mining.
‼️هشتگ ها را در کانال دنبال کنید 👇
#پایتون #یادگیری_ماشین
🆔 @Programming4all_0to100