Rcsetup 151
Rcsetup 151 9,0/10 8624 reviews
Matplotlib默认是不使用中文字体的需要修改配置文件1、在python的安装目录中找到配置文件：如 D: soft python Lib site-packages matplotlib mpl-data(可用记事本打开)2、找到139行的font.family: sans-serif将其前面的#注释号去掉3、找到151行的font.sans-serif:A.
Downloading file: rcsetup153.exe (3.00 Mb)
Review0 ScreenshotsOur reviewNo Video
- Sep 23, 2016 GitHub is where the world builds software. Millions of developers and companies build, ship, and maintain their software on GitHub — the largest and most advanced development platform in the world.
- This feature is not available right now. Please try again later.
- Dear phonopy users, I am trying to calculate phonons for a very simple system, a chain of C2 atoms. If you look at the attached output, you can see that the frequencies are correctly calculated (at least I hope so), but after that there occur a series of errors which I don't understand.
- Status This thread has been Locked and is not open to further replies. Please start a New Thread if you're having a similar issue. View our Welcome Guide to learn how to use this site.
- Dear phonopy users, I am trying to calculate phonons for a very simple system, a chain of C2 atoms. If you look at the attached output, you can see that the frequencies are correctly calculated (at least I hope so), but after that there occur a series of errors which I don't understand.
Roland octacapture drivers. Recuva is a small, free utility that can recover files deleted by mistake from Windows computers, Recycle Bin, digital camera card, or MP3 player. Features: - Undeletes files from your computer, Recycle Bin, digital camera card, MP3..full software details
If you encounter any problems in accessing the download mirrors for Recuva, please check your firewall settings or close your download manager.
Recuva is offered as a free download
Faster PC? Get Advanced SystemCare and optimize your PC.
Recuva support is available ONLY from its developer Piriform Ltd.
Windows Automated Installation Kit AIK 3.0
USB Image Tool 1.7.6.0
Ultimate Boot CD - UBCD 5.3.8
Bart's PE Builder 3.1.10a
Ontrack EasyRecovery Professional 13.0.0.0
BackUpTime 1.7.3995
DataRecovery 2.4.7
Deep Freeze Standard 8.56.020.5542
Extension Copy 201103301924
Rcsetup153
Recuva 1.53.1087
Rcsetup152
Disclaimer: this book (in electronic format) was provided to me for review by Packt publishing
matplotlib is the most popular plotting library for Python, and rightly so. It produces extremely high-quality plots suitable for publication, and thus, coupled with numpy and scipy is one of the major driving forces in the scientific Python community, which gets more and more active in the past few years.
The library has a comprehensive reference documentation, but few high-quality tutorials. This is the niche this book attempts to fill. It is divided into two main parts. The first (about 1/3 of the book) serves as a tutorial to matplotlib, presenting its various features in an increasing level of complexity. The second part consists of:
* Tutorials on integrating matplotlib with the major GUI frameworks used for Python - there are chapters for GTK+, wxPython and PyQt. These topics are commonly sought by beginning Python programmers (as the logs of my blog clearly show).
* A chapter about 'matplotlib on the web', which is somewhat useless in my opinion, because it teaches absolutely nothing new about matplotlib.
* A chapter called 'matplotlib in the real world' which is a hodgepodge of data munging and plotting examples, which is either useful or not, depending on your experience and needs.
The book could clearly use some editing of the English (the author is not a native speaker, which is fine, but means that the editors should have done a more thorough job). Also, it has a peculiar organization - sub-chapters and sections aren't numbered, which is very unusual and confusing, and makes cross references impossible.
All in all, I can see how this book could be useful to some users. Mainly, I think, for scientists who don't want to google everything and to wade through docs and tutorials and want everything in a single place. But for Python hackers seeking to just make some plots, I doubt it's of great value. All the information is available online, and if you know how to look for it, there will be no trouble finding what you need, way faster than reading through this book.
matplotlib is the most popular plotting library for Python, and rightly so. It produces extremely high-quality plots suitable for publication, and thus, coupled with numpy and scipy is one of the major driving forces in the scientific Python community, which gets more and more active in the past few years.
The library has a comprehensive reference documentation, but few high-quality tutorials. This is the niche this book attempts to fill. It is divided into two main parts. The first (about 1/3 of the book) serves as a tutorial to matplotlib, presenting its various features in an increasing level of complexity. The second part consists of:
* Tutorials on integrating matplotlib with the major GUI frameworks used for Python - there are chapters for GTK+, wxPython and PyQt. These topics are commonly sought by beginning Python programmers (as the logs of my blog clearly show).
* A chapter about 'matplotlib on the web', which is somewhat useless in my opinion, because it teaches absolutely nothing new about matplotlib.
* A chapter called 'matplotlib in the real world' which is a hodgepodge of data munging and plotting examples, which is either useful or not, depending on your experience and needs.
The book could clearly use some editing of the English (the author is not a native speaker, which is fine, but means that the editors should have done a more thorough job). Also, it has a peculiar organization - sub-chapters and sections aren't numbered, which is very unusual and confusing, and makes cross references impossible.
All in all, I can see how this book could be useful to some users. Mainly, I think, for scientists who don't want to google everything and to wade through docs and tutorials and want everything in a single place. But for Python hackers seeking to just make some plots, I doubt it's of great value. All the information is available online, and if you know how to look for it, there will be no trouble finding what you need, way faster than reading through this book.