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Intermediate Python for Data Science | DataCamp https://www.datacamp.com/courses/intermediate-python-for-data-science The intermediate python course is crucial to your data science curriculum. Learn to visualize real data with matplotlib's functions…

Comes from: https://www.analyticsvidhya.com/blog/2017/05/questions-python-for-data-science/ Python is increasingly becoming popular among data science enthusiasts, and for right reasons. It brings the entire ecosystem of a general programming languag…

Histograms from:https://campus.datacamp.com/courses/intermediate-python-for-data-science/matplotlib?ex=7 Build a histogram (1) life_exp, the list containing data on the life expectancy for different countries in 2007, is available in your Python shel…

Basic plots with matplotlib from:https://campus.datacamp.com/courses/intermediate-python-for-data-science/matplotlib?ex=1 Line plot (1) With matplotlib, you can create a bunch of different plots in Python. The most basic plot is the line plot. A gene…

NumPy: Basic Statistics from:https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-4-numpy?ex=13 Average versus median You now know how to use numpy functions to get a better feeling for your data. It basically comes down to im…

2D NumPy Arrays from:https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-4-numpy?ex=9 Your First 2D NumPy Array # Create baseball, a list of listsbaseball = [[180, 78.4],[215, 102.7],[210, 98.5],[188, 75.2]] # Import numpyimp…

Packages From:https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-3-functions-and-packages?ex=10 Import package As a data scientist, some notions of geometry never hurt. Let's refresh some of the basics.We can do this by impo…

List from:https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-2-python-lists?ex=2 -----------------1------------------------------------- Create a list As opposed to int, bool etc., a list is a compound data type; you can gro…

NumPy From:https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-4-numpy?ex=1 Your First NumPy Array # Create list baseballbaseball = [180, 215, 210, 210, 188, 176, 209, 200] # Import the numpy package as npimport numpy as np #…

Methods From:https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-3-functions-and-packages?ex=6 String Methods Strings come with a bunch of methods. Follow the instructions closely to discover some of them. If you want to disc…

Functions from:https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-3-functions-and-packages?ex=1 Familiar functions output = function_name(input)such as result = type(3.0) # Create variables var1 and var2var1 = [1, 2, 3, 4]va…

Customization from:https://campus.datacamp.com/courses/intermediate-python-for-data-science/matplotlib?ex=13 Labels It's time to customize your own plot. This is the fun part, you will see your plot come to life! # Basic scatter plot, log scaleplt.sc…

A Complete Tutorial to Learn Data Science with Python from Scratch Introduction It happened few years back. After working on SAS for more than 5 years, I decided to move out of my comfort zone. Being a data scientist, my hunt for other useful tools w…

Are you a interested in taking a course with us? Learn about our programs or contact us at hello@zipfianacademy.com. There are plenty of articles and discussions on the web about what data science is, what qualitiesdefine a data scientist, how to nur…

I joined Analytics Vidhya as an intern last summer. I had no clue what was in store for me. I had been following the blog for some time and liked the community, but did not know what to expect as an intern. The initial few days were good – all the in…

http://blog.csdn.net/pipisorry/article/details/44245575 关于怎么学习python,并将python用于数据科学.数据分析.机器学习中的一篇非常好的文章 Comprehensive learning path – Data Science in Python 深度学习路径-用python进行数据学习 Journey from a Pythonnoob(新手) to a Kaggler on Python So, you want to bec…

Journey from a Python noob to a Kaggler on Python So, you want to become a data scientist or may be you are already one and want to expand your tool repository. You have landed at the right place. The aim of this page is to provide a comprehensive le…

<利用python进行数据分析>一书的第五章源码与读书笔记 直接上代码 # -*- coding:utf-8 -*-# <python for data analysis>第五章, pandas基础# 高级数据结构与操作工具 import pandas as pdimport numpy as npimport time start = time.time()# pandas的数据结构, series and dataframe# 1.series,类似一维数据, 一个字典,建立了…

文章标题 Introducing DataFrames in Apache Spark for Large Scale Data Science 一个用于大规模数据科学的API——DataFrame 作者介绍 Reynold Xin, Michael Armbrust and Davies Liu 文章正文 Today, we are excited to announce a new DataFrame API designed to make big data processing even…

Python for Data Analysis, 2nd Edition https://www.safaribooksonline.com/library/view/python-for-data/9781491957653/ Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second…

Data science - Wikipedia https://en.wikipedia.org/wiki/Data_science Data science, also known as data-driven science, is an interdisciplinary field of scientific methods, processes, algorithms and systems to extract knowledge or insights from data in…

Comprehensive learning path – Data Science in Python Journey from a Python noob to a Kaggler on Python So, you want to become a data scientist or may be you are already one and want to expand your tool repository. You have landed at the right place.…

七个用于数据科学(data science)的命令行工具 数据科学是OSEMN(和 awesome 相同发音),它包括获取(Obtaining).整理(Scrubbing).探索(Exploring).建模(Modeling)和翻译(iNterpreting)数据.作为一名数据科学家,我用命令行的时间非常长,尤其是要获取.整理和探索数据的时候.而且我也不是唯一一个这样做的人.最近,Greg Reda介绍了可用于数据科学的经典命令行工具.在这之前,Seth Brown介绍了如何在Unix下进行探索…

原文发布于我的微信公众号: GeekArtT. 从CFA到如今的Data Science/Deep Learning的学习已经有一年的时间了.期间经历了自我的兴趣.擅长事务的探索和试验,有放弃了的项目,有新开辟的路线,有有始无终的遗憾,也有还在继续的坚持.期间有数不清的弯路.失落,有无法一一道明的挫败和孤独,也有每日重复单调训练而积累起来的自信与欣喜.和朋友聊天让我意识到,将我目前所摸索到的一些材料和路径分享出来,使其他想要进入这个领域的人或者仅仅是兴趣爱好者能够少走一些弯路,大概是有些意义的.…

Post Date: September 3, 2014By: Stephanie Miller Marty Rose, Data Scientist in the Acxiom Product and Engineering group, and an active member of the DMA Analytics Council shared the following list of data science books with the Council this week, and…

<Python for Data Analysis>一书由Wes Mckinney所著,中文译名是<利用Python进行数据分析>.这里记录一下学习过程,其中有些方法和书中不同,是按自己比较熟悉的方式实现的. 第四个实例:USDA Food Database 简介:美国农业部(USDA)制作了一份有关食物营养信息的数据 数据下载地址: https://github.com/wesm/pydata-book/tree/2nd-edition/datasets/usda_food 准备…

<Python for Data Analysis>一书由Wes Mckinney所著,中文译名是<利用Python进行数据分析>.这里记录一下学习过程,其中有些方法和书中不同,是按自己比较熟悉的方式实现的. 第三个实例:US Baby Names 1880-2010 简介: 美国社会保障总署(SSA)提供了一份从1880年到2010年的婴儿姓名频率的数据 数据地址: https://github.com/wesm/pydata-book/tree/2nd-edition/data…

<Python for Data Analysis>一书由Wes Mckinney所著,中文译名是<利用Python进行数据分析>.这里记录一下学习过程,其中有些方法和书中不同,是按自己比较熟悉的方式实现的. 第二个实例:MovieLens 1M Data Set 简介: GroupLens Research提供了从MovieLens用户那里收集来的一系列对90年代电影评分的数据 数据地址:http://files.grouplens.org/datasets/movielens/…

<Python for Data Analysis>一书由Wes Mckinney所著,中文译名是<利用Python进行数据分析>.这里记录一下学习过程,其中有些方法和书中不同,是按自己比较熟悉的方式实现的. 第一个实例:1.usa.gov data from bit.ly 简介:2011年,URL缩短服务bit.ly和美国政府网站usa.gov合作,提供了一份从生成.gov或.mil短链接用户那里收集来的匿名数据 数据下载地址:https://github.com/wesm/py…