best python libraries for data science

directory,Os.chdir ("CC") changes the current script working directoryD SYS system modulePring (SYS.ARGV 1234) Get parametersE shutil File Operation moduleF JSON pickle ModuleJSON primarily serializes the conversion between user strings and Python data typesDumps dump loads loadPickle function dumps dump loads load Python-specific modulesG shelve module, simple

Canopy:downloads-enthought Scientific Computing SolutionsOne-click installation of Python data analysis development platform, pre-set core scientific analysis library such as: SciPy, NumPy,. Pandas, Matplotlib, Ipython and so on. This software has a free version and several different paid editions, the personal feel that the free version enough to use, the main concern is his integrated library, do not need

A collection of some common Python librariesReprinted from: https://zhuanlan.zhihu.com/p/21563130In addition https://awesome-python.com/#data-analysis site also has a lot of commonly used libraries.GUI graphical interfaceTkinter:tkinterWxpython:wxpythonPygtk:pygtkPyqt:pyqtPyside:pysideWeb FrameworkDjango:djangoWeb2py:web2pyFlask:flaskBottle:bottleTornadoweb:tornadowebWebpy:webpyCherrypy:cherrypy (Thanks @ p

Fuzz.ratio ("Hit me with your best shot", "Hit me with your pet shark") # 85 8) ProgressBar As its name, a scroll bar function library Copy Code code as follows: From ProgressBar import ProgressBar Import time Pbar = ProgressBar (maxval=10) For I in range (1, 11): Pbar.update (i) Time.sleep (1) Pbar.finish () # 60% |######################################################## | 9) Colorama A color library that can add rich colors to the text

There are three main ways to access a Web page using python: Urllib, Urllib2, HttplibUrllib simple, relatively weak function, Httplib simple and powerful, but does not support session1. The simplest page access (get the server-side response package)Res=urllib2.urlopen (URL)Print Res.read ()2. Plus the data to get or postdata={"name": "Hank", "passwd": "HJZ"}Urllib2.urlopen (URL, urllib.urlencode (

execute the SQL command when executing the query, pay attention to the security of the SQL statement, C=conn.cursor ()# never do this--insecure!Symbol = ' Rhat 'C.execute ("SELECT * from stocks WHERE symbol = '%s '"% symbol)?# do this instead, note that there is only one element in a tuple followed by a comma#sql语句中的替换符为?t = (' Rhat ',)C.execute (' SELECT * from stocks WHERE symbol=? ', T)Print (C.fetchone ())?# Larger example that inserts many records at a

Instavest published a blog post that shares the 3 Python libraries that are loved by startups, and this article has sparked a heated discussion among developers on hacker News, so if you're interested in it, you might want to take a look. The author will translate this text to share to more developer friends. The translation is as follows: 　1. Whitenoise Simply modifying the config file allows the user to

Pillow Image Processing Library Requests accessing network resources Chardet for code detection Import Chardet Print (Chardet.detect (b'hello,world')) #{' encoding ': ' ASCII ', ' confidence ': 1.0, ' Language ': '} import chardetdata =" ". Encode ( ' GBK " ) print (Chardet.detect (data)) # {' encoding ': ' GB2312 ', ' confidence ': 0.7407407407407407, ' Language ': ' Chinese '} Import chardetdata=' newest main ニュース '. Encod

, and the method of integrating graph can accelerate the solution of the value of the class Haar feature.One of the most basic class Haar features is a rudimentary weak classifier, which is optimized after the weak classifier is called the optimized weak classifier.A strong classifier is formed by combining multiple optimized weak classifiers.But the application of a single strong classifier is not good in actual detection,So it was proposed to cascade or cascade several strong classifiers toget

1, installation Beautifulsoup4>pip Install BEAUTIFULSOUP4Error timeout: Read timed out.2. Workaround: Pip--default-timeout=100 install-u beautifulsoup43. Beautiful Soup is a python library that extracts data from HTML or XML files. It is able to use your favorite converter to achieve the usual document navigation, find, modify the way the document. BeautifulSoup with request, it can greatly improve the effi

Python data analysis, R language and Data Mining | learning materials sharing 05, python Data Mining Python Data Analysis Why python for

://github.com/grangier/python-gooseIi. python Text Processing toolsetAfter obtaining the text data from the webpage, according to the task different, needs to carry on the basic text processing, for example in English, needs the basic tokenize, for Chinese, then needs the common Chinese word participle, further words, regardless English Chinese, also can the part

data visualization. it has powerful functions, and the generated icons can achieve the printing quality, so the appearance rate in various academic conferences is not low. Relying on Python, the customization is higher than other graphics libraries. Another advantage is that it provides interactive data analysis and a

...... All of the company's platforms are replaced with python ......... Sorry, I am sorry for the trouble. I want to answer the question and write so much. So I used spaces for some random punctuation ...... Different from R, Python is a versatile language. Data Statistics are mostly implemented through third-party packages. Specifically, the Package I common

single language to process data has its benefits. If you've ever used C + + or Java before, Python should be easy for you.Data analysis can be implemented using Python, with enough Python libraries to support data analysis. Panda

Getting started with Python in 30 minutes-data type and control structure, python Data Type Python is a scripting language and I have heard of it for a long time, but it is the first time that the real system came into contact with me from the end of last year (2013) to the

cloud using predictive Services Visualize data for exploration and production monitoring contributed by Benjamin Skrainka, leads Data science instructor at GalvanizePandasPandas is an open source, bsd-licensed library providing high-performance, easy-to-use data structures and

applications that require very low latency, it is worthwhile to use a lower-level and low-productivity language, C ++, to maximize performance. For highly concurrent and multi-threaded applications, Python is not an ideal programming language, because Python has something called GIL (Global interpreter lock, this is a mechanism to prevent the interpreter from executing multiple

Python is a common tool for data processing, can handle the order of magnitude from a few k to several T data, with high development efficiency and maintainability, but also has a strong commonality and cross-platform, here for you to share a few good data analysis tools, the need for friends can refer to the next

RT reply: I strongly recommend the python course at rice University. The course is well designed and the teacher is very responsible. ----------------------------------------------------------- Answer questions by phone last night. Update the questions today; There are a total of three courses at Rice University, which now seems to have been divided into six. Each course lasts for 8 weeks in a simple order. The first course is the basics of