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GNUradio_python_tutorial_20090609.pdf.tar
- GNU radio tutorial, includes python tutorial for gnu radio
python_note
- python3.0 官方文档，内涵python3.0全部新特性以及API，python初学者必备利器-This documentation showed the details of new characters in python3.0 and all of the existing API for refferencing
us-universities-role-in-sdr
- Describes cognitive radio hardware implementation using USRP.Also,explains how to write GNU radio code using Python language
grotarapi-master
- Physical layer implementation of cognitive radio using python
python-pardus-linux-org
- programming language user s modul
PythonAPI
- Python API查询手册 - Python API handbook
Soumekh_spotlight_Carrera_xband
- This code is not part of the RITSAR toolset. This code has essentially been copied Mehrdad Soumekh s spotlight processing algorithm, which is written in MATLAB, and has been translated to Python. Also provided are copies of this code with parameters
GNU-radio-files-for-AM-reception
- Implementation of Amplitude modulation using open source gnu radio (gnu radio plus python files).
samping-and-filtering-using-GNU-radio-companion.r
- step wise implementation of sampling and filtering action using open source gnu radio software (grc files and python files)
Implementing-FM-in-GNU-radio
- step wise implementation of Frequency modulation in open source GNU radio software (gnu radio companion files and python files)
am_dsb_ssb_dsbsc
- Implementation of double side band suppress carrier, single band suppress carrier, conventional amplitude modulation in open source GNU radio (gnu radio companion and python files)
picture-note
- python验证码识别；包含常用图片处理方式，中文验证码识别文本训练方式等等。-note of python picture code verifing
python
- 是一种动态的、面向对象的脚本语言，最初被设计用于编写自动化脚本，随着版本的不断更新和语言新功能的添加，
tk布局
- python tkinter 几种常用布局
递归
- 以实例的形式介绍了Python的递归，便于初学者很好的学习理解
python气象绘图
- 学习气象的朋友可以进来学习学习，听有价值的一个文档
机器学习教程
- 本书提供了机器学习中python编程的内容，可供机器学习、人工智能从业者学习使用
机器学习实战-中文版
- 机器学习实战-中文版，使用python代码进行编程。
pytorch 教程
- PyTorch is a library for Python programs that facilitates building deep learning projects. It emphasizes flexibility and allows deep learning models to be expressed in idiomatic Python. This approachability and ease of use found early adopters in t
下载网易歌曲
- 通过python 实现批量下载，建议下载python，嘿嘿