ویدیوهای برتر
This is the first part of this series where you will learn how to create a weapon system for a fps game.
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Download Links:
M4a1 and project:
https://mega.nz/file/xcoXHBqD#....c0z07NA9tiqqalK7ddxf
Camera and movement fps project:
https://github.com/Obsessi0n/FpsTutorial
If you have any question feel free to ask in the comments.
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Packages:
essential assetes I use : https://drive.google.com/file/....d/1qDu1iJOVf9ZwkhN7Q
Check out these vieos:
Fps series :https://www.youtube.com/playli....st?list=PLhWBaV_gmpG
Racing series : https://www.youtube.com/playli....st?list=PLhWBaV_gmpG
RPG series : https://www.youtube.com/playli....st?list=PLhWBaV_gmpG
asset link :
https://www.mediafire.com/file..../4tjpuvmlchrwhvx/FPS
Hezbollah has confirmed the death of its leader, Hassan Nasrallah, after a series of massive Israeli airstrikes on Lebanon’s capital Beirut. Nasrallah, who had not been seen in public for years because of fears of being assassinated by Israel, was one of the most influential figures in the Middle East.
Ali Karki, the commander of Hezbollah’s southern front, and other Hezbollah military leaders were also killed in the attack on Beirut’s southern suburb of Dahiyeh, according to the Israeli military.
Hezbollah confirmed Nasrallah’s death and vowed to keep up the fight against Israel “in support of Gaza and Palestine, and in defence of Lebanon”. Iran, the main backer of Hezbollah, declared five days of national mourning. Iran’s Supreme Leader declared that Nasrallah’s death "will not go unavenged"
Israel’s Prime Minister Benjamin Netanyahu said his country had “settled the score” with Nasrallah’s death and described his assassination as an “historic turning point” which could reshape the region.
US President Joe Biden said that his death was a "measure of justice for his many victims” and Kamala Harris described Nasrallah as a “terrorist” with blood on his hands.
Western countries are warning citizens to leave Lebanon as the assassination fuels fears of a wider war. Israel has strongly signalled that it may send ground forces into Lebanon. Thousands of Lebanese citizens are continue to flee the south of the country.
Anna Foster in Beirut presents BBC News at Ten reporting by Jeremy Bowen, Orla Guerin, Caroline Hawley, Frank Gardner and Tom Bateman.
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For more news, analysis and features visit: www.bbc.com/news
#BBCNews
Learn the different views Eckhart has on concepts from the Bible and the teachings of Jesus in this compilation.
Subscribe to find greater fulfillment in life:
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It's not easy to initially "get" Eckhart's teachings. After all (like so many of us), you're probably still trying to grasp these concepts with your egoic mind. That's why it's so important to have guidance, support, and encouragement as you step onto the spiritual path. At Eckhart Tolle Now, you'll find an entire community of like-minded seekers who can help you answer questions, face challenges, and smoothly journey towards Presence.
Enjoy a FREE 10-DAY TRIAL to Eckhart Tolle Now: https://members.eckharttolle.com/10-day-trial/
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Building a Python website for Beginners using Django Framework . Learn how to create your first ever Coffee Shop Django web Application.
Use the django-admin tool to generate a project folder, the basic file templates, and manage.py, which serves as your project management script.
Use manage.py to create one or more applications.
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===== Overview =======
• Use the django-admin tool to generate a project folder, the basic file templates, and manage.py, which serves as your project management script.
• Use manage.py to create one or more applications. ...
• Register the new applications to include them in the project.
• Hook up the url/path mapper for each application.
#python #Django #djangotutorial #SenGideons
►Source Code + Resources - http://www.codewithharry.com/v....ideos/python-django-
►Full Django Playlist - https://www.youtube.com/playli....st?list=PLu0W_9lII9a
►Click here to subscribe - https://www.youtube.com/channe....l/UCeVMnSShP_Iviwkkn
Best Hindi Videos For Learning Programming:
►Learn Python In One Video - https://www.youtube.com/watch?v=qHJjMvHLJdg
►Learn JavaScript in One Video - https://www.youtube.com/watch?v=onbBV0uFVpo
►Learn PHP In One Video - https://www.youtube.com/watch?v=xW7ro3lwaCI
►Machine Learning Using Python - https://www.youtube.com/playli....st?list=PLu0W_9lII9a
►Creating & Hosting A Website (Tech Blog) Using Python - https://www.youtube.com/playli....st?list=PLu0W_9lII9a
►Advanced Python Tutorials - https://www.youtube.com/playli....st?list=PLu0W_9lII9a
►Object Oriented Programming In Python - https://www.youtube.com/playli....st?list=PLu0W_9lII9a
►Python Data Science and Big Data Tutorials - https://www.youtube.com/playli....st?list=PLu0W_9lII9a
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Today we are going to create a tic tac toe game using the python programming language. This video will teach you the way to create a nice and easy playable tic tac toe game in python!
All the source code and other material will be uploaded on https://codewithharry.com as and when available!
Source Code: https://gist.github.com/CodeWi....thHarry/d83fed6958b7
►Checkout my English channel here: https://www.youtube.com/channe....l/UC7btqG2Ww0_2LwuQx
►Instagram: www.instagram.com/codewithharry
python, C, C++, Java, JavaScript and Other Cheetsheets [++]:
Playlist: https://www.youtube.com/playli....st?list=PLu0W_9lII9a
►Learn in One Video[++]:
Python[15 Hr] - https://www.youtube.com/watch?v=gfDE2a7MKjA&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python Advance[3.5 Hr] - https://www.youtube.com/watch?v=61a7UkDO50s&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[1 Hr] - https://www.youtube.com/watch?v=qHJjMvHLJdg&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[2 Hr] - https://www.youtube.com/watch?v=ihk_Xglr164&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[15 Min] -https://www.youtube.com/watch?v=fr1f84rg4Nw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
JavaScript[1 Hr] - https://www.youtube.com/watch?v=onbBV0uFVpo&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
C[1.3 Hr]-https://www.youtube.com/watch?v=YXcgD8hRHYY&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[1 Hr] - https://www.youtube.com/watch?v=xW7ro3lwaCI&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[2.3 Hr] -https://www.youtube.com/watch?v=1SnPKhCdlsU&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[Project]- https://www.youtube.com/watch?v=-al2bECumKg&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
HTML[30 Min] -https://www.youtube.com/watch?v=E3ByCRqE7Lo&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
CSS[8.5 Hr] -https://www.youtube.com/watch?v=Edsxf_NBFrw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
CSS[1.4 Hr] -https://www.youtube.com/watch?v=u5-K_ua9sOw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Wordpress[3.2 Hr] -https://www.youtube.com/watch?v=GlLRYml8mCY&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Angular[2 Hr] -https://www.youtube.com/watch?v=0LhBvp8qpro&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Java[2.3 Hr] -https://www.youtube.com/watch?v=rV_3Lewxx6o&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Web Scraping[1 Hr] -https://www.youtube.com/watch?v=uufDGjTuq34&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
MongoDB[2 Hr] -https://www.youtube.com/watch?v=oSIv-E60NiU&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Numpy[1 Hr] -https://www.youtube.com/watch?v=Rbh1rieb3zc&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Android Dev[12 Hr]- https://www.youtube.com/watch?v=mXjZQX3UzOs
Linux[1 Hr] -https://www.youtube.com/watch?v=_tCY-c-sPZc&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
JQuery[1.1 Hr] -https://www.youtube.com/watch?v=YFlx1C8XwR0&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Git and GitHub[1.1 Hr] -https://www.youtube.com/watch?v=gwWKnnCMQ5c&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
►Complete course [playlist]:
React - https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
OOP Python-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Java -https://www.youtube.com/playli....st?list=PLu0W_9lII9a
JavaScript- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
PHP-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
C-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
C++-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Git & GitHub-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Android Dev- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python GUI- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Web Development- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python Django -https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Projects Using HTML, CSS & Javascript- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Data Structure and Algo -https://www.youtube.com/playli....st?list=PLu0W_9lII9a
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Comment "#HarryBhai" if you read this 😉😉
In part 3 of this Kivy tutorial series, we're going to create a new page for our chat application. Once the user fills out the form for username, port, and ip, we want them to hit connect, and then connect to the server.
Text-based tutorial and sample code: https://pythonprogramming.net/....screen-manager-pages
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Want to unlock the power of speech recognition and convert audio into written text using Python? This step by step comprehensive tutorial guides you through the process of creating a Python script that effortlessly transcribes speech to text. Whether you're a beginner or an experienced programmer, join us as we explore step-by-step instructions, practical examples, and valuable insights into the fascinating world of speech recognition. Watch this video and equip yourself with the skills to enhance accessibility and build voice-controlled applications.
Documentation Link:
https://www.geeksforgeeks.org/....python-convert-speec
#python #speechrecognition #codingtutorial #pythontutorial
Learn the basics of computer vision with deep learning and how to implement the algorithms using Tensorflow.
Author: Folefac Martins from Neuralearn.ai
More Courses: www.neuralearn.ai
Link to Code: https://colab.research.google.....com/drive/18u1KDx-96
YouTube Channel: https://www.youtube.com/@neuralearn
⭐️ Contents ⭐️
Introduction
⌨️ (0:00:00) Welcome
⌨️ (0:05:54) Prerequisite
⌨️ (0:06:11) What we shall Learn
Tensors and Variables
⌨️ (0:12:12) Basics
⌨️ (0:19:26) Initialization and Casting
⌨️ (1:07:31) Indexing
⌨️ (1:16:15) Maths Operations
⌨️ (1:55:02) Linear Algebra Operations
⌨️ (2:56:21) Common TensorFlow Functions
⌨️ (3:50:15) Ragged Tensors
⌨️ (4:01:41) Sparse Tensors
⌨️ (4:04:23) String Tensors
⌨️ (4:07:45) Variables
Building Neural Networks with TensorFlow [Car Price Prediction]
⌨️ (4:14:52) Task Understanding
⌨️ (4:19:47) Data Preparation
⌨️ (4:54:47) Linear Regression Model
⌨️ (5:10:18) Error Sanctioning
⌨️ (5:24:53) Training and Optimization
⌨️ (5:41:22) Performance Measurement
⌨️ (5:44:18) Validation and Testing
⌨️ (6:04:30) Corrective Measures
Building Convolutional Neural Networks with TensorFlow [Malaria Diagnosis]
⌨️ (6:28:50) Task Understanding
⌨️ (6:37:40) Data Preparation
⌨️ (6:57:40) Data Visualization
⌨️ (7:00:20) Data Processing
⌨️ (7:08:50) How and Why ConvNets Work
⌨️ (7:56:15) Building Convnets with TensorFlow
⌨️ (8:02:39) Binary Crossentropy Loss
⌨️ (8:10:15) Training Convnets
⌨️ (8:23:33) Model Evaluation and Testing
⌨️ (8:29:15) Loading and Saving Models to Google Drive
Building More Advanced Models in Teno Convolutional Neural Networks with TensorFlow [Malaria Diagnosis]
⌨️ (8:47:10) Functional API
⌨️ (9:03:48) Model Subclassing
⌨️ (9:19:05) Custom Layers
Evaluating Classification Models [Malaria Diagnosis]
⌨️ (9:36:45) Precision, Recall and Accuracy
⌨️ (10:00:35) Confusion Matrix
⌨️ (10:10:10) ROC Plots
Improving Model Performance [Malaria Diagnosis]
⌨️ (10:18:10) TensorFlow Callbacks
⌨️ (10:43:55) Learning Rate Scheduling
⌨️ (11:01:25) Model Checkpointing
⌨️ (11:09:25) Mitigating Overfitting and Underfitting
Data Augmentation [Malaria Diagnosis]
⌨️ (11:38:50) Augmentation with tf.image and Keras Layers
⌨️ (12:38:00) Mixup Augmentation
⌨️ (12:56:35) Cutmix Augmentation
⌨️ (13:38:30) Data Augmentation with Albumentations
Advanced TensorFlow Topics [Malaria Diagnosis]
⌨️ (13:58:35) Custom Loss and Metrics
⌨️ (14:18:30) Eager and Graph Modes
⌨️ (14:31:23) Custom Training Loops
Tensorboard Integration [Malaria Diagnosis]
⌨️ (14:57:00) Data Logging
⌨️ (15:29:00) View Model Graphs
⌨️ (15:31:45) Hyperparameter Tuning
⌨️ (15:52:40) Profiling and Visualizations
MLOps with Weights and Biases [Malaria Diagnosis]
⌨️ (16:00:35) Experiment Tracking
⌨️ (16:55:02) Hyperparameter Tuning
⌨️ (17:17:15) Dataset Versioning
⌨️ (18:00:23) Model Versioning
Human Emotions Detection
⌨️ (18:16:55) Data Preparation
⌨️ (18:45:38) Modeling and Training
⌨️ (19:36:42) Data Augmentation
⌨️ (19:54:30) TensorFlow Records
Modern Convolutional Neural Networks [Human Emotions Detection]
⌨️ (20:31:25) AlexNet
⌨️ (20:48:35) VGGNet
⌨️ (20:59:50) ResNet
⌨️ (21:34:07) Coding ResNet from Scratch
⌨️ (21:56:17) MobileNet
⌨️ (22:20:43) EfficientNet
Transfer Learning [Human Emotions Detection]
⌨️ (22:38:15) Feature Extraction
⌨️ (23:02:25) Finetuning
Understanding the Blackbox [Human Emotions Detection]
⌨️ (23:15:33) Visualizing Intermediate Layers
⌨️ (23:36:20) Gradcam method
Transformers in Vision [Human Emotions Detection]
⌨️ (23:57:35) Understanding ViTs
⌨️ (24:51:17) Building ViTs from Scratch
⌨️ (25:42:39) FineTuning Huggingface ViT
⌨️ (26:05:52) Model Evaluation with Wandb
Model Deployment [Human Emotions Detection]
⌨️ (26:27:13) Converting TensorFlow Model to Onnx format
⌨️ (26:52:26) Understanding Quantization
⌨️ (27:13:08) Practical Quantization of Onnx Model
⌨️ (27:22:01) Quantization Aware Training
⌨️ (27:39:55) Conversion to TensorFlow Lite
⌨️ (27:58:28) How APIs work
⌨️ (28:18:28) Building an API with FastAPI
⌨️ (29:39:10) Deploying API to the Cloud
⌨️ (29:51:35) Load Testing with Locust
Object Detection with YOLO
⌨️ (30:05:29) Introduction to Object Detection
⌨️ (30:11:39) Understanding YOLO Algorithm
⌨️ (31:15:17) Dataset Preparation
⌨️ (31:58:27) YOLO Loss
⌨️ (33:02:58) Data Augmentation
⌨️ (33:27:33) Testing
Image Generation
⌨️ (33:59:28) Introduction to Image Generation
⌨️ (34:03:18) Understanding Variational Autoencoders
⌨️ (34:20:46) VAE Training and Digit Generation
⌨️ (35:06:05) Latent Space Visualization
⌨️ (35:21:36) How GANs work
⌨️ (35:43:30) The GAN Loss
⌨️ (36:01:38) Improving GAN Training
⌨️ (36:25:02) Face Generation with GANs
Conclusion
⌨️ (37:15:45) What's Next
Watch me code live for 12 hours with no breaks during this 12 HOUR CODING LIVESTREAM. I am going to be creating an online multiplayer game with python, networking, sockets and pygame. Hopefully by the end of the stream I will have the game fully functioning and you guys can join the server and play with me!
Playlist: https://www.youtube.com/watch?v=iLHAKXQBOoA&list=PLzMcBGfZo4-nTARLniGMmigJT7P17wDDX
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Linode! get a $20 credit towards your first server using the code "TWT19" or by clicking: https://linode.com/techwithtim
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#Python #CodingLivestream #LiveCoding
About a month ago, I suddenly had the urge to learn how to create my own GTK application. In a community poll, I asked my viewers if I should do this using Haskell, and a large portion of the community wanted me to do it in Python instead. So ultimately, I decided to do it both ways--once in Haskell, and then again in Python.
REFERENCED:
► https://gitlab.com/dwt1/code-e....xamples/-/tree/main/ - DT's app in Haskell
► https://gitlab.com/dwt1/code-e....xamples/-/tree/main/ - DT's appp in Python
► https://github.com/gtk2hs/gtk2hs - The GTK+ Haskell Library
► https://www.muitovar.com/gtk2hs/chap2.html - Docs for Gtk2Hs
► https://python-gtk-3-tutorial.....readthedocs.io/en/la - Docs for Python GTK+
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** Python Certification Training: https://www.edureka.co/python **
This Edureka video on 'Python IDLE' will train you to use IDLE which is an IDE that comes as a default implementation when you install python.
Below are the topics covered in this video:
What is IDLE?
IDLE Installation
Working with IDLE
Configuration
Basic Examples
Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s
Palindrome in Python: https://www.edureka.co/blog/py....thon-program-to-chec
Patterns in Python: https://www.edureka.co/blog/python-programs/
#Edureka #PythonEdureka #PythonIDLE #pythonProgramming #pythonTutorial #PythonTraining
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How it Works?
1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!
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About the Course
Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:
1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of MapReduce in Hadoop
8. Learn to write Complex MapReduce programs
9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the concepts of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience
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Why learn Python?
Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.
Who should go for python?
Edureka’s Data Science certification course in Python is a good fit for the below professionals:
· Programmers, Developers, Technical Leads, Architects
· Developers aspiring to be a ‘Machine Learning Engineer'
· Analytics Managers who are leading a team of analysts
· Business Analysts who want to understand Machine Learning (ML) Techniques
· Information Architects who want to gain expertise in Predictive Analytics
· 'Python' professionals who want to design automatic predictive models
For more information, Please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll free)
🔴 Title: NOBODY
🔴 Summary: A nameless assassin is hunted through the dark streets of an empty city, pursued by the mysterious man he had just killed... #horror #horrormovies #englishmovies #movies #horrorstories #horrorstory #slasher #zombiesurvival #foundfootage #paranormal #thriller #thrillermovies #mystery #mysterymovies #crime #crimemovies
YOP: 2007
Cast: Costas Mandylor, Darren Wall, Ed O'Ross
Director: Shawn Linden
Writer: Shawn Linden
🔴 Certificate: 16 (reedit safe)
🔴 Partner rating: S V F
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