DataScienceinPython,Volume2_DataI_O,Jupy.epub

Data Science in Python Volume 2. Data I/O, GUI, Jupyter notebook, Deployment, Numeric programming, High performance Python Alexander Stepanov Data I/O, GUI, Jupyter notebook, Deployment, Numeric, High performance Python Introduction Reading data in your script Reading data from file Dealing with corrupt data Manipulating data Sorting data Filtering data Writing data to a file CSV files XLSX files Using Jupyter notebook for user interaction Display tabular data in IPython notebook Adding user interaction GUI programming with TkInter. Tkinter application tkinter variables Button Slider Entry and Text widgets Combobox Menu File open and file save dialogs Diet calculator using Tk Deployment High performance computing Numeric computations with Numpy Numba - Just In Time Python compiler Troubleshooting numba functions Process level parallelism Introduction Python is the most popular programming language in scientific computing today. It is simple, clear, and powerful. It works on Windows, Mac, Linux, and various other platforms. An excellent introduction to Python can be found in Python’s onlin......