ERROR: Could not install packages due to an OSError: [WinError 5] Access is denied: 'C:\\Python311\\share'
Consider using the `--user` option or check the permissions.
This can be easy fix with :
pip install -r requirements.txt --user
By using the --user flag, the packages will be installed in the user-specific site-packages directory, ensuring that the packages are installed only for the current user and not affecting the system-wide Python installation.
This course omits VERY many important things and sometimes even recommends what could have been called bad practice. There are things that don't matter when writing small automations for everyday OSINT tasks, but are extremely important when creating serious team projects.
The Jupyter contributor community is proud to announce JupyterLab 4.0, the next major release of our full-featured development environment. The package is now available on PyPI and conda-forge. You can upgrade by running pip install --upgrade jupyterlab or conda install -c conda-forge jupyterlab.
Simple example with PyQt6 to create an interface to download a video using a URL from youtube.
This simple example has some limitations, the filtering of the results is done according to the possibilities of the pytube mode and only after video, it does not use multithread and it does not have multiple selection possibilities and options. In conclusion, it offers a simple download functionality.
Exo is a domain-specific programming language that helps low-level performance engineers transform very simple programs that specify what they want to compute into very complex programs that do the same thing as the specification, only much, much faster.
JupyterLab is the latest web-based interactive development environment for notebooks, code, and data. Its flexible interface allows users to configure and arrange workflows in data science, scientific computing, computational journalism, and machine learning.
Follow these steps:
Install the jupyterlab python package using pip. This will allow you to run Jupyter notebooks in the terminal.
pip install jupyterlab
Open a Jupyter Lab session in the terminal using the command:
jupyter lab
Create a new notebook file and save it with the .ipynb extension.
In the notebook file, add the source code to work with the Python programming language and save the file notebook.