![]() ![]() You can also use conda and pip side by side. Conda can install Python packages as well as non-Python packages such as javascript packages or packages like ffmpeg that is difficult to install on Windows. pip, the Python package manager can also be used to install Python packages, but I prefer to use conda most of the time. I use the conda package manager to create virtual environments and install Python packages. You can start the Python REPL from the Anaconda Prompt and run a few quick Python commands. The Anaconda Prompt starts with an active base conda environment. You can use the Anaconda Prompt to navigate the file system, create and delete files, and run terminal commands. The Windows cmd terminal is another option (as is the new Windows Terminal), but I prefer to use the Anaconda Prompt for Python programming. I use the Anaconda Prompt as my Windows terminal. The Anaconda Prompt is a terminal that comes with the Anaconda distribution. But for engineers and scientists using Python, Jupyter notebooks are a useful programming tool and one that I use often. There are downsides to using Jupyter notebooks to write and run Python code. Jupyter notebooks can be shared with other programmers and rendered on. I find Jupyter notebooks useful to prototype programs and work with data and plots in a way that provides immediate feedback and quick iteration. I use Jupyter notebooks to write and run Python code. Miniconda comes with just the Anaconda Prompt, the conda package manager, and a base Python environment, but no pre-installed packages. If you want a smaller install (Anaconda is a pretty big download), you can download and install Miniconda instead. Anaconda includes the Anaconda Prompt and the conda command-line tool. Installing in user space is important because it allows me to install Anaconda on work and school computers where I don't have administrator privileges to install the software.Īnaconda comes with the most commonly used Python packages for Engineers and scientists. Anaconda installs in the userspace, rather than system-wide. You can also install Python from, but I prefer to use Anaconda. I use the Anaconda distribution of Python for my Python installation. These tools help me write, run and revise code and they make me a more productive programmer. These 5 tools are the ones I use the most and recommend for Python programmers. This post contains my top 5 Python tools. ![]()
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