To install the matplotlib, we need to enter the given command in the terminal. Step 6: Installing matplotlib library using pip command Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. To install the library, we need to enter the given command in the terminal. Step 5: Installing OpenCv library using pip command After the installation of the Python and pip, we can directly install the OpenCV library and start using them. Step 4: Verify Installation and Check the Pip Version We can now verify that Pip was installed correctly by opening a command prompt and entering the following command. Run the following command: python get-pip.py Open a command prompt and navigate to the folder containing the get-pip.py installer. Download get-pip.py to a folder on your computer. it's why I don't use them. Step 3: Installing Pip in Windows Once you have confirmed that Python is installed correctly, we can proceed with installing Pip. No your intuition is right, there's no good reason why you should have to install spyder and jupyter separately for each virtual environment, yet that's what they make you do. this comic came out years ago and things still aren't any better. Python installation and distribution is honestly a mess and has been forever. Anyway, I'll need to do a fresh install of the python and would like to do it the right way this time.
Also, I would like to start using IDE a bit more instead of huge notebook with a mess of function definitions, random notes, and plots in random order. Also, when I tried to update the Jupyter, the conda started updating pretty much everythig else as a dependencies. To me it would make more sense to separate the tools (spyder and notebook) from the actually installed modules. I'm probably using the tools horribly wrong, because it seems that I need to install the Jupyter notebook and spyder for each environment separately. This also seemed to be the recommended way years ago when I looked at it last time. Currently I have an age old Anaconda distribution, mostly because it contains Jupyter notebook, spyder, and almost all modules I need as default without any configuration. I usually do all the programming in the notebook and then occasionally try to copy the most relevant functions to separate file for easier importing. I'm currently using a Jupyter notebook as my calculator and for some simple measurement data analysis and controlling some measurement equipment. TL DR question: What is the currently recommended way to install Python, Jupyter Notebook, an IDE (I have used Spyder, but probably want to try something else as well), and a bunch of Python modules? I'm using windows.īackground: I'm an electrical engineer with no proper programming experience.
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