#Horizontal resize macvim full

The full profile is available at PytLab/dotfiles Modify the shortcut prefixĪbout tmux configuration is relatively simple, I first changed the prefix of shortcuts from Ctrl-b to Ctrl-l, mainly according to personal preferences, because this left-handed Ctrl right hand l personally feel more convenient. TmuxThe configuration file is the current user's home directory in documents， launchtmux is automatically loaded when， It can also be accessed by adding a new line to thetmux Loading in for example : source ~/.nf。

It also helps to use multiple panels in one window while using vim and testing in ipython. Here mainly with tmux and vim can be more elegant to help us do Python programming in the terminal.įirst of all, you still need to configure tmux, which in addition to multi-window multi-panel is the most important thing is that it provides the ability to store and restore window groups at any time. This article is about configuration, and does not explain the core skills of Vim, so children who need it can refer to the documentation and related books. I've recently changed to a new computer and need to configure it on the new computer, so I'll simply record some configuration-related stuff down, the relevant configuration files I put on github (PytLab/dotfiles) and wrote the corresponding installation and uninstallation scripts, so I'll give a reference to students who need it. But by chance an opportunity to need to change the format of an odd input file, using the next Vim macro recording, a taste of the sweet, so later began to use Vim to write programs, although the initial use of some resistance, but over time will find that hands no longer have to leave the keyboard, even using an editor such as sublime I have to switch to use Vim mode, Vim can really let themselves a thought of the speed of editing text (for me is to write programs). In the earliest days I only used to use vim to change programs when editing files on the server, and didn't use vim as my main editor. Familiar with numerical algorithms (optimization methods, Monte Carlo algorithms, etc.) and parallelization algorithms (multi-threading and multi-process parallelization such as MPI, OpenMP, etc.) as well as python optimization methods, often using C++ to write extensions to python. He mainly works on applications in scientific computing and high performance computing, mainly in Python, C, C++. ❈PytLab, columnist of Python Chinese community.