data007 | 类似数据魔方的淘宝数据分析工具,包括商品分析,店铺分析,类别分析,品牌分析等。
kandi X-RAY | data007 Summary
kandi X-RAY | data007 Summary
data007 is a Python library. data007 has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
类似数据魔方的淘宝数据分析工具,包括商品分析,店铺分析,类别分析,品牌分析等。
类似数据魔方的淘宝数据分析工具,包括商品分析,店铺分析,类别分析,品牌分析等。
Support
Quality
Security
License
Reuse
Support
data007 has a low active ecosystem.
It has 19 star(s) with 7 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. On average issues are closed in 1554 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of data007 is current.
Quality
data007 has 0 bugs and 0 code smells.
Security
data007 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
data007 code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
data007 does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
data007 releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
data007 saves you 71105 person hours of effort in developing the same functionality from scratch.
It has 79640 lines of code, 3052 functions and 713 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed data007 and discovered the below as its top functions. This is intended to give you an instant insight into data007 implemented functionality, and help decide if they suit your requirements.
- Get the response
- Add a file
- Mix a str
- Add a new form field
- Reads this partition from iprot
- Read this object from an IProt
- Read this object from the given iprot
- Read this object from the given iprot protocol
- Read the object from iprot
- Read this object from iprot
- Aggregate all shop IDs
- Return a list of table names and their values
- Handle response
- Called when the response is finished
- Compute the top 10 and return the top 10
- Compute the top 10 days of shop objects
- Get the most common items for a given date
- Pack a big integer into a varint
- Get the top 10 categories
- Handles response
- Read this instance from an IProt
- Read this key from an iprot
- Get shop info
- Reads this object from an IProt
- Make a request to the client
- Updates the item table
Get all kandi verified functions for this library.
data007 Key Features
No Key Features are available at this moment for data007.
data007 Examples and Code Snippets
No Code Snippets are available at this moment for data007.
Community Discussions
No Community Discussions are available at this moment for data007.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install data007
You can download it from GitHub.
You can use data007 like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use data007 like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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