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RSS订阅Mastering matplotlib(2015).pdf
A practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data
2015-10-23
Machine Learning in Python(2015).pdf
Chapter 1 The Two Essential Algorithms for Making Predictions
Chapter 2 Understand the Problem by Understanding the Data
Chapter 3 Predictive Model Building: Balancing Performance,
Complexity, and Big Data
Chapter 4 Penalized Linear Regression
Chapter 5 Building Predictive Models Using Penalized Linear
Methods
Chapter 6 Ensemble Methods
Chapter 7 Building Ensemble Models with Python
2015-10-23
Building Machine Learning Systems with Python(2ed,2015)
Get more from your data through creating practical
machine learning systems with Python
2015-10-23
Learning.Data.Mining.with.Python
Harness the power of Python to analyze data and
create insightful predictive models
2015-10-23
IPython Notebook Essentials 2014
Compute scientific data and execute code interactively
with NumPy and SciPy
2015-10-23
mastering machine learning with scikit-learn
Apply effective learning algorithms to real-world
problems using scikit-learn
2015-10-23
Data.Science.from.Scratch.First.Principles.with.Python
Get a crash course in Python
■■ Learn the basics of linear algebra, statistics, and probability—
and understand how and when they're used in data science
■■ Collect, explore, clean, munge, and manipulate data
■■ Dive into the fundamentals of machine learning
■■ Implement models such as k-nearest neighbors, Naive Bayes,
linear and logistic regression, decision trees, neural networks,
and clustering
■■ Explore recommender systems, natural language processing,
network analysis, MapReduce, and databases
2015-10-23
Learning Python Data Visualization(2014)
Master how to build dynamic HTML5-ready SVG charts
using Python and the pygal library
2015-10-23
Learning SciPy for Numerical and Scientific Computing(2ed,2015)
Quick solutions to complex numerical problems in
physics, applied mathematics, and science with SciPy
2015-10-23
NumPy(3ed,2015)
Build efficient, high-speed programs using the
high-performance NumPy mathematical library
2015-10-23
Python Data Analysis(2014).
Learn how to apply powerful data analysis techniques with popular open source Python modules
2015-10-23
Python.Data.Analytics
Chapter 1: An Introduction to Data Analysis
Chapter 2: Introduction to the Python’s World
Chapter 3: The NumPy Library
Chapter 4: The pandas Library—An Introduction
Chapter 5: pandas: Reading and Writing Data
Chapter 6: pandas in Depth: Data Manipulation
Chapter 7: Data Visualization with matplotlib
Chapter 8: Machine Learning with scikit-learn
Chapter 9: An Example—Meteorological Data
Chapter 10: Embedding the JavaScript D3 Library in IPython Notebook
Chapter 11: Recognizing Handwritten Digits
2015-10-23
The Linux Programming Interface - A Linux and UNIX System Programming Handbook
The Linux Programming Interface - A Linux and UNIX System Programming Handbook
又一本unix/linux的好书 比APUE更详细
英文也不是很难
2015-07-20
Scott Meyers - Effective modern c++ 42
Scott Meyers 的effective c++系列 不用介绍了吧
Scott Meyers - Effective modern c++ 42 Specific Ways to Improve Your Use of C++11 and C++14
2014-12-12
iOS_Apprentice_3_MyLocations_v2.1
In this tutorial you will look at some of the more allruing technologies from iOS SDK and you will dive a lot dive a lot deeper into the Objective-C language。
2014-09-29
[Programming.iOS.7(4th,2013.12)].Matt.Neuburg.文字版
[Programming.iOS.7(4th,2013.12)].Matt.Neuburg.文字版
书是好书,讲得有点深
2014-02-08
[iOS.Components.and.Frameworks(2013.11)].Kyle.Richter.文字版
[iOS.Components.and.Frameworks(2013.11)].Kyle.Richter.文字版
2014-02-08
[iOS.7.Programming.Cookbook(2013.10)].Vandad.Nahavandipoor.文字版
iOS.7.Programming.Cookbook
内容很全面 可系统学习也可作为一般工具书
2014-02-08
[iOS.7.Programming.Fundamentals(2013.10)].Matt.Neuburg.文字版
英文版 ios7开发基础知识
包括object-c xcode使用 cocoa基础
2014-02-08
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