anaconda create environment command line

ANACONDA CREATE ENVIRONMENT COMMAND LINE INSTALL

There are many different tools to create virtual environments ( virtualenv vs pipenv vs venv). This has the advantage that you don’t clutter your global Python installation on your computer with myriads of possibly conflicting packages. These installations are NOT visible globally.

ANACONDA CREATE ENVIRONMENT COMMAND LINE INSTALL

Using virtual environments, you can separately and independently install different packages (even different versions of packages) for different Python projects. You would install environment A for the first bot requiring version 1.1 and environment B for the second bot requiring version 3.3. A virtual environment allows you to define and install different dependencies for different projects. Then, you would have to rewrite all old code using older versions.īut what if the library developer has removed a critical feature of your application?įortunately, Python provides you with virtual environments. Without virtual environments, you would have to decide for installing either version ccxt 1.1 or 3.3. Your old bot still runs as a background process (using ccxt version 1.1) but the new bot cannot start (using ccxt version 3.3). But suddenly weird things begin to happen. You install the new version 3.3 on your computer. Say you install the ccxt library (version 1.1) on your computer.Ī few years later, the ccxt library has changed, for example, there may be a new version 3.3, and you decide that it’s time to create a new bot. Your code requires the exact API commands from ccxt (version 1.1). Suppose you are programming a crypto trading bot using a library to connect to the API of crypto exchanges (so that your bot can buy and sell currencies). Over time, you’ll fix the bugs as they appear and integrate feedback of users of your code.Īnd this is what all coders are doing. If you are a productive coder, you’ll ship your code early and often.

Anaconda create environment command line