Instalación de Anaconda

Why is Anaconda popular among data science developers?

Anaconda is an indispensable platform for more than 20 million developers in the world of data science and Machine Learning. Large companies like Facebook, NASA and Tesla choose it to develop artificial intelligence models and manage complex projects. With Anaconda, data scientists can manage hundreds of Python and R packages and libraries within controlled virtual environments, ensuring stability and reproducibility in their projects.

What are the main advantages of using Anaconda?

1. Virtual environment management: With Conda, you can create and manage project-specific virtual environments, avoiding dependency conflicts.

2. Simplified package installation: The installation of packages such as Numpy, Pandas or Scikit Learn is done with a single command.

3. Incorporation of Jupyter Notebooks: The original notebooks come pre-installed, facilitating the development and presentation of projects.

How to install Anaconda on Windows, Linux and Mac?

The installation of Anaconda may vary slightly depending on the operating system. Here we explain how to do it for Windows, Linux (using WSL) and Mac:

How to install Anaconda on Linux using WSL?

1. Download the Linux installer from the Anaconda website.

2. Copy the .sh file to the home folder of your Linux distribution (e.g. Ubuntu) inside WSL.

3. Open a terminal in the same folder and run the command:

   bash filename-file-name.sh

4. Accept the terms and conditions and follow the steps to complete the installation.

5. Verify the installation with:

   conda env list

How to install Anaconda on Windows?

1. Download the installer for Windows from the Anaconda website.

2. Run the installer and follow the on-screen instructions, accepting the terms and conditions.

3. Decide whether to install for all users or just for your account, and choose the option to add Anaconda to the PATH if you wish.

4. Verify the installation using Anaconda Prompt or PowerShell:

   conda info

How to install Anaconda on Mac?

1. On the Anaconda download page, choose the appropriate option for your processor type (Apple Silicon or Intel Chip).

2. Download and run the graphical installer or use the command line as you prefer.

3. Accept the terms and conditions and complete the installation process.

4. Verify that Anaconda is installed correctly using the terminal:

   conda info

What are the differences between Anaconda, Miniconda and PIP?

Anaconda, Miniconda and PIP are Python package management tools, but each has its own particularities:

• Anaconda:

• Includes more than 250 pre-installed packages.

• It is ideal for data science, Machine Learning and artificial intelligence projects.

• Miniconda:

• Provides a smaller installation with less than 70 packages.

• Recommended for those who want more control and know what packages they will need.

• PIP:

• Does not include pre-installed packages and is more general.

• Useful in any Python development environment.

Tips for using Anaconda in data science projects

• Familiarize yourself with the main Conda commands, especially if you work in a professional environment.
• Explore the Anaconda cheat sheet available in PDF to better understand its capabilities.
• Do not hesitate to use the comments on forums or educational platforms to ask questions about installation or use on different operating systems.

Remember that constant practice and familiarization with the tools are key to master data science with platforms like Anaconda. Explore, practice and evolve your career in this fascinating field!