It's ideal for analysts new to Python and for Python programmers new to scientific computing. * Use the IPython interactive shell as your primary development environment * Learn basic and advanced NumPy (Numerical Python) features * Get started with data analysis tools in the pandas library * ...
Introspection, 内省 ?,在标识符前或后加上,显示出对象状况和docstring ??,显示出source code ?,在命名空间中search 比如用tab completion,对于numpy太多属性和函数,想用通配符*去search和过滤,但tab completion是不支持的,这时候用? The %run Command 可以直接执行一个python脚本, In [550]: %run ipython_script...
some of which (like Bokeh and Altair) take advantage of modern web technology to create interactive visualizations that integrate well with the Jupyter notebook. Rather than use multiple visualization tools in this book, I decided to stick with matplotlib for teaching the fundamentals, ...
Data analysts in modern data-driven Enterpriseswant to be empowered with powerful new-age tools and strategies to extract a wealth of actionable insights at the speed of business in near real-time. Python, with its diverse libraries, packages, and frameworks, can democratize data an...
常用到的tertools函数 错误和异常处理 优雅地处理 Python 的错误和异常是构建健壮程序的重要部分。在数据分析中,许多函数函数只用于部分输入。例如,Python 的 float 函数可以将字符串转换成浮点数,但输入有误时,有 ValueError 错误: In [60]: float('1.2345') Out[60]: 1.2345 In [61]: float('something') ...
tools for integrating C/C++ and Fortran code useful linear algebra, Fourier transform, and random number capabilities Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to ...
Visual Studio(Windows用户)的Python Tools; Spyder(免费),Anaconda附带的IDE; Komodo IDE(商业)。 因为Python的流行,大多数文本编辑器,比如Atom和Sublime Text 3,对Python的支持也非常好。 1.5 社区和会议 除了在网上搜索,各式各样的科学和数据相关的Python邮件列表是非常有帮助的,很容易获得回答。包括: ...
industries ranging from manufacturing and retail to high technology, finance, and healthcare, learning and accessing data analysis tools has remained a challenge. This pragmatic guide will help train you in one of the most important tools in the field - Python. Filled with practical case studies,...
Software Development Tools IPython支持Debug, %debug, 或%pdb,我一般不用debug,所以ignore Timing Code: %time and %timeit time是运行一次,而timeit是运行多次求平均值 Basic Profiling: %prun and %run -p python中提供cProfile来进行performance分析
Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, ...