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π° Email automation using Python
Why type emails when Python can do it for you? Work smarter, not harder... unless youβre debugging. π π»
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π 23 Years of SPOTO β Claim Your Free IT Certs Prep Kit!
π₯Whether you're preparing for #Python, #AI, #Cisco, #PMI, #Fortinet, #AWS, #Azure, #Excel, #comptia, #ITIL, #cloud or any other in-demand certification β SPOTO has got you covered!
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π¬ Want exam help? Chat with an admin now!
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π₯Whether you're preparing for #Python, #AI, #Cisco, #PMI, #Fortinet, #AWS, #Azure, #Excel, #comptia, #ITIL, #cloud or any other in-demand certification β SPOTO has got you covered!
β Free Resources :
γ»Free Python, Excel, Cyber Security, Cisco, SQL, ITIL, PMP, AWS courses: https://bit.ly/4lk4m3c
γ»IT Certs E-book: https://bit.ly/4bdZOqt
γ»IT Exams Skill Test: https://bit.ly/4sDvi0b
γ»Free AI material and support tools: https://bit.ly/46TpsQ8
γ»Free Cloud Study Guide: https://bit.ly/4lk3dIS
π Become Part of Our IT Learning Circle! resources and support:
https://chat.whatsapp.com/Cnc5M5353oSBo3savBl397
π¬ Want exam help? Chat with an admin now!
wa.link/rozuuw
You can develop and test cloud applications completely offline, without an internet connection
There is gofakes3 β a lightweight S3 implementation for testing without AWS. It allows you to mock cloud storage right on your machine.
- Zero cloud costs for local testing
- You can test integrations with S3 offline
- Lightweight and easy to set up
100% open source
https://github.com/johannesboyne/gofakes3/
There is gofakes3 β a lightweight S3 implementation for testing without AWS. It allows you to mock cloud storage right on your machine.
- Zero cloud costs for local testing
- You can test integrations with S3 offline
- Lightweight and easy to set up
100% open source
https://github.com/johannesboyne/gofakes3/
β€2
β¨ Google Colab | Python Tools β¨
π A cloud-based Jupyter Notebook environment from Google for running Python code in a browser without any local installation.
π·οΈ #Python
π A cloud-based Jupyter Notebook environment from Google for running Python code in a browser without any local installation.
π·οΈ #Python
Forwarded from Machine Learning with Python
Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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A collection of projects with which you can master Python by creating real applications: from backends and parsers to bots, games, and automation systems.
Instead of theory β specific tasks, step-by-step tutorials, and repositories that help hone skills through practice.
https://github.com/practical-tutorials/project-based-learning?tab=readme-ov-file#python
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GitHub
GitHub - practical-tutorials/project-based-learning: Curated list of project-based tutorials
Curated list of project-based tutorials. Contribute to practical-tutorials/project-based-learning development by creating an account on GitHub.
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SVFR β a full-fledged framework for restoring faces in videos.
It can:
Essentially, the model takes old or damaged videos and makes them "as if they were shot yesterday". And it's free and open-source.
1. Create an environment
conda create -n svfr python=3.9 -y
conda activate svfr
2. Install PyTorch (for your CUDA)
pip install torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2
3. Install dependencies
pip install -r requirements.txt
4. Download models
conda install git-lfs
git lfs install
git clone https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt models/stable-video-diffusion-img2vid-xt
5. Start processing videos
python infer.py \
--config config/infer.yaml \
--task_ids 0 \
--input_path input.mp4 \
--output_dir results/ \
--crop_face_region
Where task_ids:
*
0 β face enhancement*
1 β colorization*
2 β redrawing damageAn ideal tool if:
#python #soft #github
https://t.iss.one/CodeProgrammer
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A huge cheat sheet for Python, Django, Plotly, Matplotlib, P.pdf
741 KB
Many topics are covered inside:
https://t.iss.one/CodeProgrammer
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β¨ Quiz: Using Data Classes in Python β¨
π Test your knowledge of Python data classes, namedtuple, immutability, auto-generated methods, inheritance, and slots.
π·οΈ #intermediate #python
π Test your knowledge of Python data classes, namedtuple, immutability, auto-generated methods, inheritance, and slots.
π·οΈ #intermediate #python
Forwarded from Machine Learning with Python
π± Python enthusiasts, this is for you β 15 BEST REPOSITORIES on GitHub for learning Python
βΆοΈ Awesome Python β https://github.com/vinta/awesome-python
β the largest and most authoritative collection of frameworks, libraries, and resources for Python β a must-save
βΆοΈ TheAlgorithms/Python β https://github.com/TheAlgorithms/Python
β a huge collection of algorithms and data structures written in Python
βΆοΈ Project-Based-Learning β https://github.com/practical-tutorials/project-based-learning
β learning Python (and not only) through real projects
βΆοΈ Real Python Guide β https://github.com/realpython/python-guide
β a high-quality guide to the Python ecosystem, tools, and best practices
βΆοΈ Materials from Real Python β https://github.com/realpython/materials
β a collection of code and projects for Real Python articles and courses
βΆοΈ Learn Python β https://github.com/trekhleb/learn-python
β a reference with explanations, examples, and exercises
βΆοΈ Learn Python 3 β https://github.com/jerry-git/learn-python3
β a convenient guide to modern Python 3 with tasks
βΆοΈ Python Reference β https://github.com/rasbt/python_reference
β cheat sheets, scripts, and useful tips from one of the most respected Python authors
βΆοΈ 30-Days-Of-Python β https://github.com/Asabeneh/30-Days-Of-Python
β a 30-day challenge: from syntax to more complex topics
βΆοΈ Python Programming Exercises β https://github.com/zhiwehu/Python-programming-exercises
β 100+ Python tasks with answers
βΆοΈ Coding Problems β https://github.com/MTrajK/coding-problems
β tasks on algorithms and data structures, including for preparation for interviews
βΆοΈ Projects β https://github.com/karan/Projects
β a list of ideas for pet projects (not just Python). Great for practice
βΆοΈ 100-Days-Of-ML-Code β https://github.com/Avik-Jain/100-Days-Of-ML-Code
β machine learning in Python in the format of a challenge
βΆοΈ 30-Seconds-of-Python β https://github.com/30-seconds/30-seconds-of-python
β useful snippets and tricks for everyday tasks
βΆοΈ Geekcomputers/Python β https://github.com/geekcomputers/Python
β various scripts: from working with the network to automation tasks
React β₯οΈ for more posts like thisπ
βΆοΈ Awesome Python β https://github.com/vinta/awesome-python
β the largest and most authoritative collection of frameworks, libraries, and resources for Python β a must-save
βΆοΈ TheAlgorithms/Python β https://github.com/TheAlgorithms/Python
β a huge collection of algorithms and data structures written in Python
βΆοΈ Project-Based-Learning β https://github.com/practical-tutorials/project-based-learning
β learning Python (and not only) through real projects
βΆοΈ Real Python Guide β https://github.com/realpython/python-guide
β a high-quality guide to the Python ecosystem, tools, and best practices
βΆοΈ Materials from Real Python β https://github.com/realpython/materials
β a collection of code and projects for Real Python articles and courses
βΆοΈ Learn Python β https://github.com/trekhleb/learn-python
β a reference with explanations, examples, and exercises
βΆοΈ Learn Python 3 β https://github.com/jerry-git/learn-python3
β a convenient guide to modern Python 3 with tasks
βΆοΈ Python Reference β https://github.com/rasbt/python_reference
β cheat sheets, scripts, and useful tips from one of the most respected Python authors
βΆοΈ 30-Days-Of-Python β https://github.com/Asabeneh/30-Days-Of-Python
β a 30-day challenge: from syntax to more complex topics
βΆοΈ Python Programming Exercises β https://github.com/zhiwehu/Python-programming-exercises
β 100+ Python tasks with answers
βΆοΈ Coding Problems β https://github.com/MTrajK/coding-problems
β tasks on algorithms and data structures, including for preparation for interviews
βΆοΈ Projects β https://github.com/karan/Projects
β a list of ideas for pet projects (not just Python). Great for practice
βΆοΈ 100-Days-Of-ML-Code β https://github.com/Avik-Jain/100-Days-Of-ML-Code
β machine learning in Python in the format of a challenge
βΆοΈ 30-Seconds-of-Python β https://github.com/30-seconds/30-seconds-of-python
β useful snippets and tricks for everyday tasks
βΆοΈ Geekcomputers/Python β https://github.com/geekcomputers/Python
β various scripts: from working with the network to automation tasks
React β₯οΈ for more posts like this
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