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Baseball, basketball, football, soccer...Danny Go just can't get enough sports! If your kids enjoy playing all kinds of sports, then they'll get fired up by this upbeat song! 🔥
LYRICS:
Step up to the plate, all 3 bases loaded
Gotta hit a home run out of this place
Here comes the pitch, I swing as hard as I can
Yeah it's going to space!
I wanna win the Super Bowl
I wanna win the World Series
Final Four, World Cup, Hall of Fame
I don't really care what kind of ball you're passing to me...
I gotta play!
(Baseball, basketball, football, soccer)
I don't really care what kind of game
I gotta play!
(Tennis, hockey, volleyball, golf)
I'm gonna give it my all to be the champion!
Now I'm on the court, it's the 4th quarter
Hope I get the ball, 'cause I'm ready to play
Here comes the pass, running towards the basket
Fast break, slam dunk, we won the game!
I wanna win the Super Bowl
I wanna win the World Series
Final Four, World Cup, Hall of Fame
I don't really care what kind of ball you're passing to me...
I gotta play!
(Baseball, basketball, football, soccer)
I don't really care what kind of game
I gotta play!
(Tennis, hockey, volleyball, golf)
I'm gonna give it my all to be the champion!
Let's go Danny Go!
Let's go Danny Go!
Let's go Danny Go!
Let's go, let's go, let's go Danny Go!
Kick the ball, left to right
Double dribble, up and down
Whack it with the backhand
Now bump...set...spike!
I gotta play!
(Baseball, basketball, football, soccer)
I don't really care what kind of game
I gotta play!
(Tennis, hockey, volleyball, golf)
I'm gonna give it my all to be the champion!
Do your kids enjoy Blippi, Paw Patrol, or Daniel Tiger? Do they dance to catchy songs like Wheels On The Bus or Baby Shark? Then they'll love Danny Go! Sing fun kids dance songs, learn about colors, shapes & numbers, AND visit exciting places like fire truck stations, trampoline parks, beaches, motorcycle shops and more!
Here's some of our other favorite Danny Go videos!
The Fire Truck Song - https://www.youtube.com/watch?v=oQH-d2PGzas
Danny Learns to Paint - https://www.youtube.com/watch?v=vjMHleB-Mlw
5-in-1 Surprise Music Video Mix - https://www.youtube.com/watch?v=etM4E1NFUBA
Danny Builds a Sandcastle - https://www.youtube.com/watch?v=YBdRq_L0xA0
The Stomp Clap Dance Song - https://www.youtube.com/watch?v=nvDLe3FHcuY
For more exclusive Danny Go! videos, visit Yippee.tv!
Danny Go! on Instagram: https://bit.ly/dannygoIG
Danny Go! on Facebook: https://bit.ly/dannygoFB
Stream or purchase Danny Go! music:
Spotify - https://open.spotify.com/artis....t/3DQZdH2A5YhL1XIt4D
Apple Music - https://music.apple.com/us/art....ist/danny-go/9974475
iHeartRadio - https://www.iheart.com/artist/danny-go-33233028/
Google Play - https://play.google.com/store/music/artist?id=Atxdqomwcejstw5jwhkkxwnem6m&hl=en
©️2022
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
Channel membership: https://www.youtube.com/channe....l/UCfzlCWGWYyIQ0aLC5
Discord: https://discord.gg/sentdex
Support the content: https://pythonprogramming.net/support-donate/
Twitter: https://twitter.com/sentdex
Facebook: https://www.facebook.com/pythonprogramming.net/
Twitch: https://www.twitch.tv/sentdex
G+: https://plus.google.com/+sentdex
Learn more about this feature here : https://thenewblack.ai/ai-desi....gn-features/ai-gener
Create AI generated models from a clothing photo.
This feature is especially useful for brands who want to quickly create models wearing their clothes.
⚫ Explore all our AI fashion design tutorials:
- Create my AI fashion design : https://www.youtube.com/watch?v=SfqD0j9o_6A
- Edit my own photo : https://www.youtube.com/watch?v=f2eG-AApB4s
- Create AI generated models from a clothing photo : https://www.youtube.com/watch?v=E-Tkz3mGBKs
- Generate clothing brand names : https://youtu.be/LaogMiGn3cs
- Create a similar design from a photo : https://www.youtube.com/watch?v=Fp8Ezoe3b28
- Bring a sketch to life : https://www.youtube.com/watch?v=sBmpBXrm698
- Refine my design in HD : https://www.youtube.com/watch?v=t9BKysCvyJQ
- Create an AI moodboard : https://www.youtube.com/watch?v=pGtQxTDQXkw
- Create fashion collections as a team : https://www.youtube.com/watch?v=WfgiCBP7bXg
- Create my AI brand logo : https://www.youtube.com/watch?v=ycGUbAhZ6io
- Create my AI store concept : https://www.youtube.com/watch?v=BnO_XrqwBEQ
- Remove background from my photo : https://www.youtube.com/watch?v=Fp8Ezoe3b28
- Analyze the style in my photo : https://www.youtube.com/watch?v=qFV2HYRYOXI
⚫ Discover our Business features :
- Create your own AI fashion generator : https://www.youtube.com/watch?v=1ZQ1fapamXA
⚫ More on The New Black AI :
- Explore all our AI features : https://thenewblack.ai/ai-design-features
- AI fashion design generator : https://thenewblack.ai/ai-clot....hing-fashion-design-
- AI branding generator : https://thenewblack.ai/ai-fashion-brand-generator
- AI Fashion blog : https://thenewblack.ai/blog
- About us : https://thenewblack.ai/about_us
- Contact us : https://thenewblack.ai/contact_us
© The New Black. All rights reserved
⚫ https://thenewblack.ai/
An ancient Christian tomb was discovered in 1945 when workers in Egypt found 13 leather-bound manuscripts, which revealed more information about the sect of Christians called "Gnostics," meaning they teach salvation through mystical knowledge.
This sect was ultimately destroyed by the Roman orthodox church. Their followers were burned at the stake and their writings were destroyed.
In the year 325 AD, we lost tremendous amounts of information. The emperor Constantine, in the early Christian church, with the early Christian Bible made decisions on what information to include, and what information to exclude.
What we know now is that at least 45 books were either completely taken away or tremendously edited, into what we call today our western biblical tradition.
When those edits were made we lost the information that tells us everything is connected.
Read the FULL ARTICLE HERE with Translations in all Languages: https://garylite.com/2018/08/2....8/the-lost-forbidden
The lost gospel of Thomas: http://www.marquette.edu/maqom..../Gospel%20of%20Thoma
Source: Gregg Braden - https://www.greggbraden.com/
References:
The Gospel According to Thomas, Gregg Braden, Neville Goddard
Read the FULL ARTICLE HERE with Translations in all Languages:
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#jesus #jesuschrist #gospelofthomas
Music video by Sports performing You Are The Right One
Shop: https://merch.sportsbandok.com/
Buy the Naked All The Time on vinyl here: https://sports.ffm.to/nattyt
Stream Get A Good Look Pt.1: https://sports.ffm.to/gaglpt1
Directed By: Brandon Waddell
Title Design: Jacob Theriot
Filmed In: Norman, OK
Follow Sports
http://sportsbandok.com
Facebook : http://facebook.com/sportsbandok
Instagram : http://instagram.com/sportsbandok
Twitter : http://twitter.com/sportsbandok
Soundcloud : http://soundcloud.com/sportsbandok
Bandcamp: https://sportsbandok.bandcamp.com/
Lyrics:
You were the right way
I was just waiting ' for you to look at me
Is there a wrong time
Baby, I'm guessing
Just let me know
Well, it's been a long time
Since you've been lonely
So what will I do
You are the right one
And I'm just the boy who is looking at you
Peut-être une prochaine fois, au détour d'un bar
So what will I do
Avec quatre grammes dans l'sang
À plus mec, bonne soirée
I tried the wrong way
I was just guessing, biding my time
You are the only one I can picture by my side
#NakedAllTheTime #Sports
Have you heard that people are using AI to create 3D models?!? In this Blender tutorial, we’ll show you how to use ChatGPT to create 3D models in Blender. We’ll cover what’s possible, what’s practical, and what the future may hold.
Intro (00:00)
Getting Setup with the Right Tools (00:52)
How to Get Up and Running in Blender (01:08)
How to Get Started with ChatGPT (02:10)
How to Use ChatGPT and Blender Together (03:19)
GPT-4 and Beyond (07:07)
Links mentioned in the video:
- Download Blender → https://www.blender.org/download/
- Blender's Linux reference docs → https://docs.blender.org/manua....l/en/latest/getting_
- ChatGPT → https://chat.openai.com/
- Our Getting Started with Blender tutorial → https://youtu.be/TG_vamse41c
Thanks for watching!
Make sure to 👍 and subscribe.
=========================
“I was terrified to learn Blender but after this, I am now addicted, thank you for the awesome tutorial.” Bright tendai Muvirimi 😃
=========================
What next?
Try out your own prompts and ideas, and leave us a comment about the cool things you create and discover!
And, me sure to check out one of the videos on this playlist → https://www.youtube.com/watch?v=Dnqd9lQc2rg&list=PLmOmCl3Ryy58XK8H-pwTBUeaLHmODy-np
=========================
“That was the most amazing video I have seen about Blender.” Richard Glady 😃
=========================
The following works were shown in this video:
“Midjourney as it Imagines Itself” by Chikorita (https://commons.wikimedia.org/....wiki/File:Midjourney licensed under CC BY-SA 4.0 (https://creativecommons.org/li....censes/by-sa/4.0/dee
“Futuristic City Left in Destruction” by Benlisquare (https://commons.wikimedia.org/....wiki/File:Algorithmi licensed under CC BY-SA 4.0 (https://creativecommons.org/li....censes/by-sa/4.0/dee
“Cyberpunk Cityscape” by Benlisquare (https://commons.wikimedia.org/....wiki/File:Algorithmi licensed under CC BY-SA 4.0 (https://creativecommons.org/li....censes/by-sa/4.0/dee
“Lunte Walkcycle in Environment” by Blender Studio (https://studio.blender.org/fil....ms/settlers/5ea989ba licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)
“Coffee Run” by Blender Studio (https://studio.blender.org/films/coffee-run/) licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)
“Agent 327: Operation Barbershop - Original Video File” by Blender Institute, based on original character by Martin Lodewijk licensed under CC BY-ND 4.0 (https://creativecommons.org/licenses/by-nd/4.0/)
"Timelapse: Sculpting Rain's Head" by Blender Studio (https://studio.blender.org/tra....ining/stylized-chara licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)
The following artists’ works were also shown in this video with their permission:
Artur Szóstakowski - https://www.behance.net/megatecture
Sabino Leerentveld - https://www.behance.net/sabaman
____________________________
ABOUT BLENDER ACADEMY
Blender Academy is the place where professionals go when they’re serious about learning Blender (https://www.blenderacademy.com).
#blendertutorial #chatgpt
In this video, you will learn how to build your first machine learning model in Python using the scikit-learn library.
🔗 Colab https://colab.research.google.com/
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🔗 GitHub https://github.com/dataprofessor
🔗 Blog https://towardsdatascience.com..../how-to-build-a-mach
📖 DiscoverDataScience https://www.discoverdatascience.org
📖 https://www.discoverdatascience.org/articles/journey-through-data-science-with-the-data-professor/
Time stamp
0:00 Introduction
0:15 Getting started with Google Colab
1:30 Load dataset
6:52 Split to X and y
8:30 Split data to train/test set
11:45 About DiscoverDataScience
13:00 Model building with Linear regression
21:55 Model building with Random forest
26:00 Model comparison
27:55 Data visualization
30:32 Conclusion
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#datascience #machinelearning #dataprofessor
This video tutorial teaches Python Anaconda with live running examples. Anaconda is the World’s Most Popular Data Science Platform. More than 20 Million People use Anaconda. It is useful for creating data science and machine learning applications with Python. In this course, we have covered the following lessons with live running examples:
Python Anaconda Course 00:00
Anaconda Introduction 00:25
Install Anaconda on Windows 01:47
Anaconda Navigator 03:52
Create a new NoteBook in Anaconda 05:28
Working with Cells on Anaconda 09:34
Types of Cells on Anaconda 16:38
Add Headings in Anaconda 18:09
Show line numbers in Anaconda 20:41
Setup Numpy on Anaconda 21:53
Setup Pandas on Anaconda 25:04
Setup Matplotlib on Anaconda 28:43
Download Notebook in various formats on Anaconda 32:24
Import Notebook into Anaconda 35:23
Open already created NoteBook in Anaconda 36:55
Keyboard Shortcuts in Anaconda 37:54
Python Tutorial (English): https://youtu.be/HakXpkXcjdI
Python Tutorial (Hindi): https://youtu.be/b97WsOM9BYg
#Anaconda #Python #AmitThinks
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I am Amit Diwan, a self-made Entrepreneur, running "Amit Thinks", a Tech YouTube Channel. Also running an E-Learning website "studyopedia.com". We publish videos in English and Hindi on Programming, Databases, and Web Dev Technologies. I have left a job offer from Accenture and 3 government jobs to follow my dream of being an entrepreneur.
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It's Modern Warfare 3 Season 6 Launch Day and with it comes The Haunting event! We are also getting a NEW Battle Pass including the Kastov LSW (LMG) and DTIR 30-06 (Battle Rifle).
Warzone Season 6 Battle Pass 0:00
Warzone Season 6 Patch Notes 4:02:05
Warzone Season 6 Gameplay 5:27:34
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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
When it comes to caliber, .22LR is not necessarily the strongest one or super useful for self-defense. However, it is a timeless cartridge that just goes and goes on. Why? It is super affordable, there is plenty of it, it comes with little to no recoil, makes little noise, and gets shot from equally affordable guns. So, if you are looking for a good rifle to shoot this little round, we will show you the best of them.
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Change your voice to virtual influencers for free → https://bit.ly/3NibLjU
Best free screen recorder and video editor you should try → https://bit.ly/3ttTCbR
In this video i will guide you through creating your AI influencer . Virtual influencers are taking the internet by storm.And some ai instagram models are making lot of money.You can also create Ai influencer in few easy steps.
First of all we will create ai models and will finalize one beautiful ai model girl. In second step we will change the environment of our virtual influencer images. In third step we will change the poses. In last step we will match the facial features of ai models.
In this way we can create hyper-realistic ai influencers.
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▶Time Stamps:
00:00 Intro
00:31 Generating Ai Model face
01:47 Change Clothes of Ai Influencer
02:19 Change Environment
02:48 Change Pose
03:20 Matching Face of Ai Influencer
04:26 Support Me
▶Support Me: buymeacoffee.com/alihassanrG
▶Negative Prompt:
(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)
▶Links:
Tensor art :https://tensor.art/models/619331836222519234
Face swap : https://discord.com/oauth2/authorize?client_id=1090660574196674713&permissions=274877945856&scope=bot
Face Swap Images For Free : https://youtu.be/QlzV7c1_DfQ?si=ecVg67fsxrSBnlUj
▶Business Inquiry/ Sponsorship
alihassanredzone@gmail.com
#aiinfluencer #aimodels #virtualinfluencers #planetai
Thank you for watching the video! Here is the code:
https://github.com/gahogg/YouT....ube/tree/master/Flas
Part 2 is available here: https://youtu.be/EwegW1LDIrg
I offer 1 on 1 tutoring for Data Structures & Algos, and Analytics / ML! Book a free consultation here: https://calendly.com/greghogg/30min
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+ AWS Data Science: https://bit.ly/3TKnoBS
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+ IBM Dev Ops: https://bit.ly/3RlVKt2
+ IBM Full Stack Cloud: https://bit.ly/3x0pOm6
+ Object Oriented Programming (Java): https://bit.ly/3Bfjn0K
+ TensorFlow Advanced Techniques: https://bit.ly/3BePQV2
+ TensorFlow Data and Deployment: https://bit.ly/3BbC5Xb
+ Generative Adversarial Networks / GANs (PyTorch): https://bit.ly/3RHQiRj
Timeline:
0:00:38 App Overview
0:01:45 Install Virtual Environment
0:04:53 Flask First Steps
0:08:18 Train ML Model
0:21:03 Core Functionality
0:44:17 Putting it altogether in Flask
Music: https://www.bensound.com/royalty-free-music
Sound effects: https://www.zapsplat.com
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Access the Playlist: https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Link to the Repl: https://replit.com/@codewithha....rry/96-Day-96-AsyncI
Join Replit the browser-based IDE used in this course - https://join.replit.com/code-with-harry-100-doc
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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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Russia’s President Putin has warned that if the UK goes ahead with plans to supply Ukraine with shells containing depleted uranium, then Russia will be forced “to respond”.
The warning came on the second day of a visit to Moscow by China’s President Xi.
Vladimir Putin told the UK that Russia would be “forced to take action accordingly” if the UK supplies the weapons. He suggested it amounted to an escalation towards the use of nuclear arms.
In response the UK said depleted uranium had been used in munitions for decades and had nothing to do with nuclear weapons.
Depleted uranium’s great density and mass mean it can add to the effectiveness of armour-piercing weapons. However its use is controversial as the metal is radioactive and poisonous to humans and animals.
Huw Edwards presents BBC News at Ten reporting by Russia Editor Steve Rosenberg in Moscow.
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#BBCNews
Top 8 python modules that you need to know for data science in 2023. I will go over each of these modules and also share learning resources for the same
Python Couse link: https://codebasics.io/courses/python-for-beginner-and-intermediate-learners/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description
Numpy playlist: https://www.youtube.com/playli....st?list=PLeo1K3hjS3u
Pandas playlist: https://www.youtube.com/playli....st?list=PLeo1K3hjS3u
Matplotlib playlist: https://www.youtube.com/playli....st?list=PLeo1K3hjS3u
Machine Learning playlist: https://www.youtube.com/playli....st?list=PLeo1K3hjS3u
Deep Learning playlist: https://www.youtube.com/playli....st?list=PLeo1K3hjS3u
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