Python financial application programming for big Data projects (data analysis, pricing and quantification investments)Share Network address: https://pan.baidu.com/s/1bpyGttl Password: bt56Content IntroductionThis tutorial introduces the basics of using Python for data analysis and financial application development.Starting with introducing simple financial applic
Introduction to the analysis of the target website Login modeDestination Address: Https://github.com/loginLogin method to make analysis: First, using form form to submit information, second, there is Csrf_token, third, is the POST request to send the user name and password, the first GET request for the cookie is required after the successful login,Requesting additional pages is only a cookie that needs to be returned after the first login is successful. Get the tokens and cookies we want with a
is a cookie after success. after success, return to the login page information. View personal details page Based on successful post login.Only a cookie with a successful login will be required here. #完整代码import requestsfrom bs4 Import BeautifulSoupr1 = Requests.get (' https://github.com/login ') soup = BeautifulSoup ( r1.text,features= ' lxml ') S1 = soup.find (name= ' input ', attrs={' name ': ' Authenticity_token '}). Get (' value ') R1_cookies = R1.cookies.get_dict () print (r1_cookies) pr
, the output log content, and so on. For more details on stubs and mocks I recommend Martin folwer this article: Mocks aren ' t stubs.Test toolsIn Python, the UnitTest framework of the class XUnit itself is very simple to use, such as the following is a very simple test case:?It's already easy to use, but Python's little buddy still thinks he's too wordy and slow, so you'll find Pytest is a popular library.PytestPytest as a unit test framework, the us
WebDriverAgentA webdriver server is implemented on the iOS side, and with this server we can remotely control the iOS device. You can start, kill the app, tap, scroll through the view, or make sure the page is displayed correctly.Project Address: Https://github.com/facebook/WebDriverAgentfacebook-wdaThis Python library communicates directly with webdriveragent by constructing HTTP requests directly.Project Address: Https://github.com/openatx/facebook-
so many projects in the document, Flask is indeed a good write, of course, Django is also good, but its documentation is too artificial modification, from the source of the restore degree is not so high. So here I take Flask as an example to see how open source projects are annotated and documented.To understand the nature first try again, not too much trouble, will Flask source clone down, just need to us
The Python language is easy to learn and highly developed, and the open source projects developed in the Python language are highly active, and the five most active open source projects currently in Python are described below:1.) The first of all, of course, is the Google Op
/2009-06-01xhtml2pdfXhtml2pdf uses projects such as reportlab/html5lib/pypdf to convert HTML/XHTML/XHML into PDF documents. Support for HTML 5 and CSS 2.1 and some CSS 3 ... official website:http://www.xhtml2pdf.com/2009-06-01pypdfPypdf This is a pure Python toolkit for building PDFs ... Official website:http://pybrary.net/pyPdf/2009-06-01YMLYML (why a Markup language?!) are an easy Language to compile into
path, to invoke when executing django-admin.py ( Personal understanding )8. Create the project. The command is django-admin.py startproject ProjectName projectname is the project name (not executed on the Python command line). This article was built under the F-plateFor example:9. When the project is created successfully, the directory structurestart the built-in service: You need to enter it under the project folder:
Unit Test Method for projects in the Python Django framework, pythondjango
Unit Test in Python
Let's review the unit test method in Python.The following is a simple Python unit test example:
If we develop a division function, some people may think it is very simple and the code is as follows:
def division_funtion(x, y)
For Python-based Web projects, common deployment methods are:
FCGI: Generate a listener process for each project, and then interact with the HTTP service, using a spawn-fcgi or framework-led tool.
WSGI: Use the HTTP Service's MOD_WSGI module to run each project.
But there is a uwsgi, which neither WSGI nor fcgi agreements, but has created a UWSGI agreement, which the authors say is about 10 t
work.Like DocBook, Sphinx can be seen as a separate tool for text formatting and text editing.The official documentation for Python is written through this tool.5.MoinmoinWikiMoinMoin is a python-based wiki engine program that supports multilingual features including Chinese.
Use files completely to store content without using a database
Implements all Wiki specifications,Unicode encoding supp
If you are confused about the actual application and operation solutions of Python Django projects, you can use our article to provide a detailed introduction to the actual operations of Python Django projects, the following is a detailed description of the article. Hope you will have some gains.
Report in
the standard GUI library for Python, built into Python's installation package, and Python uses Tkinter to quickly create GUI applications.? Some ideas and codes are as followsThe basic principle of signature design is simple: Use requests to request a webpage, post incoming parameter URL and data, crawl the content of a signed website and then display.Site crawl part of the source codeGUI operation with gr
Sphinx can generate API documents that can be found based on Python annotations, and simply record the next steps1 : Install pip install-u Sphinx2: Execute Sphinx-apidoc-f-O./doc under the directory where the. py file is required to generate the document./domain/model/the new Doc directory under the current directory, the folder for the API documentation is in this directory./domain/model/ Represents the directory where the API documentation needs to
?Try a lot of Python IDE, some concise, but the function is few, some function many, but very chicken!!! In a word, everything has its advantages and disadvantages!
Finally, I chose IntelliJ idea, and here's why I chose it:1. Since my main business is Java development, idea doesn't have a learning curve for me.2. Idea is a very mature IDE with rich plugins.3. Project directory structure suitable for object-oriented programming
Disadvantages:I
I recently started to learn Python, numpy, scipy, etc. I want to do some data projects, but I have no experience in this area. So I want to know what interesting projects have been done by everyone, or if I have any good options to start with, I recommend the following reply content: (Note: what channels do you use to obtain the knowledge and information that the
The first step is to create a new folder to export the required dependencies of the Python project to the Requirements.txt in Site-packages1 $ pip3 Freeze > Requirements.txtThe second step is to download all the dependent packages required for the Python projectPIP3 Download-r Requirements.txtThe third step, copy the Site-packages folder to the offline machineThen find the Linux installation of the Python3
*-canddefaultaction-pSAVE_PATH saverequirementsingivenfilepath,*used for*default action-PPROJECT_PATH projectpath,whichisdirectory,*usedfor*default actionThere are pictures and phases:650) this.width=650; "src=" Http://s2.51cto.com/wyfs02/M01/87/FD/wKiom1fmFO-T8JltAAA0s4vDHu8383.png "title=" Pigar.png "alt=" Wkiom1fmfo-t8jltaaa0s4vdhu8383.png "/>Note: If you run into someone else's project when you encounter "import Error:xxx", then you can like the artifact Pigar to search the project in the i
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