Python

  Anaconda Cloud Suite Anaconda Cloud Suite is a cloud-based ecosystem that helps developers, data scientists, machine learning engineers, and organizations manage the complete Python and data science workflow. It brings together capabilities for development, collaboration, application deployment, package management, and software security. Instead of managing every part of the data science environment separately, teams […]

Install Jupyter Notebook in Anaconda Jupyter Notebook is a great tool for interactive coding and visualization. Installing Jupyter Notebook > conda install jupyter   Launching Jupyter Notebook > jupyter notebook A browser window will open where you can create and manage notebooks. For example: something like this http://localhost:8888/tree  

Anaconda Navigator Anaconda Navigator is a desktop graphical interface included with the Anaconda Distribution. It provides a user‑friendly way to: Launch applications (such as Anaconda Toolbox, JupyterLab, Spyder, or VS Code) Manage Conda environments without using the command line Search for and install Python (and R) packages from repositories like Anaconda Cloud Anaconda Navigator Features […]

Setup Anaconda Virtual Environment Anaconda Virtual environments allow multiple projects to have their own dependencies. Creating a New Environment Run the following command to create an environment called aienv > conda create –name aienv   To create environment with specific python version > conda create –name my_env python=3.9 Activating the Environment Run the following command […]

Install Anaconda on Windows Anaconda is an open-source distribution of Python and R, designed to simplify package management and deployment. It includes: Conda Package Manager Over 7500 pre-installed libraries Jupyter Notebook, Spyder, and VS Code support Virtual environment management With Anaconda, users can seamlessly install, run, and update Python libraries without dependency issues. Download Anaconda […]

Let’s learn about Python anonymous functions in this tutorial. These functions are called anonymous because they do not follow the standard Python