We won’t spend a lot of time using Anaconda as a package manager and environment manager, but it’s good to know that this functionality exists. This command creates what’s called a virtual environment, which we call venv. If you’re trying to use a tool that relies on an older version of pandas, for example, but you have the most upgraded version, it might break your tool. Fire up your local terminal or command prompt, change directories to your project directory (wherever you were keeping your jupyter notebook files), and run the following command. This functionality helps address a common problem that occurs when working with Python packages: when different versions of the same package conflict and break your code. Anaconda includes packages such as pandas for data analysis, matplotlib for data visualization, and perhaps most importantly JupyterLab for interactive coding.Īnaconda is also a package manager and environment manager. We can install and use them on top of basic Python. These packages, sometimes called libraries, are collections of code written by other people for specific purposes. We’re going to install Python by installing Anaconda, a “distribution” that comes with basic Python as well as over 250 popular Python packages that are already pre-installed. Make an Interactive Network Visualization with Bokeh Tomotopy & Text Files (NYT Articles) - No Java required Term-Frequency Inverse Document Frequency Users’ Data: Legal & Ethical ConsiderationsĪpplication Programming Interfaces (APIs) Data Collection (Web Scraping, APIs, Social Media)
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