Python in easy steps, 2nd edition makes no assumption you have previous knowledge of any programming language so it’s ideal for the newcomer to computer programming. It has an easy-to-follow style that will appeal to programmers moving from another programming language, and to the student who...
com/blog/2016/01/xgboost-algorithm-easy-steps/ #特征为计数向量的Xgboost accuracy = train_model(xgboost.XGBClassifier(), xtrain_count.tocsc(), train_y, xvalid_count.tocsc()) print "Xgb, Count Vectors: ", accuracy #特征为词语级别TF-IDF向量的Xgboost accuracy = train_model(xgboost.XGBClassifier...
trainDF['punctuation_count'] = trainDF['text'].apply(lambda x: len("".join(_ for _ in x if _ in string.punctuation))) trainDF['title_word_count'] = trainDF['text'].apply(lambda x: len([wrd for wrd in x.split() ...
GeoViews: Library that makes it easy to explore and visualize geographical, meteorological, and oceanographic datasets, such as those used in weather, climate, and remote sensing research Datashader: Graphics pipeline system for creating meaningful representations of large datasets quickly and flexibly Pane...
QPython is the Python engine for android. It contains some amazing features such as Python interpreter, runtime environment, editor and QPYI and integrated SL4A. It makes it easy for you to use Python on Android. And it's FREE. Compared with other Python apps, QPython mainly solves how to...
Ran 3 tests in 0.001s OK nose nose 是 Python 的一个第三方单元测试框架。这意味着,如果要使用 nose,需要先显式安装它 pip install nose 一个简单的 nose 单元测试示例如下: import nose def test_example (): pass if __name__ == '__main__': ...
Utilities in Code steps There are a few utilities available in Code steps: requests: an easy-to-useHTTP client. StoreClient: a built-in utility forstoring and retrieving data between Zap runs. print: this utility allows you to debug your function. You'll need to test your Zap to see the...
Homebrew in macOS Update homebrew and install pyenv: brew update brew install pyenv If you want to install (and update to) the latest development head of Pyenv rather than the latest release, instead run: brew install pyenv --head Then follow the rest of the post-installation steps, starting...
That's it! You've successfully deployed HellBot on a Linux VPS in 6 easy steps.Config VariablesAPI_HASH : Get this value from my.telegram.org API_ID : Get this value from my.telegram.org BOT_TOKEN : Get this value from @Botfather DATABASE_URL : Get this value from mongo.db ...
Super easy to use, no source code change for most features, no package dependency Low overhead, probably the fastest tracer in the market Supports threading, multiprocessing, subprocess, async and PyTorch Powerful front-end, able to render GB-level trace smoothly ...