پیشنهاد فرادرس

آموزش Pandas برای علم داده

دسته بندی ها: آموزش Pandas ، علم داده (Data Science) ، آموزش های لیندا (Lynda)
Pandas for Data Science Publisher:Lynda Author:Charles Kelly Duration:2h 3m Level:Intermediate

Get an introduction to Pandas, the Python library for data analysis and data science. Master its tools for time series and learn how the data frame and panels tools work.
Released: 10/24/2016
Pandas for Data Science is an introduction to one of the hottest new tools available to data science and business analytics specialists. Pandas is an open-source library that provides high-performance, easy-to-use data structures and data analysis tools. While Python has excellent capabilities for data manipulation and data preparation, Pandas adds data analysis and modeling tools so that users can perform entire data science workflows.

Watch this course to gain an overview of Pandas. Charles Kelly helps you get started with time series, data frames, panels, plotting, and visualization. All you need is a copy of the free and interactive Jupyter Notebook app to practice and follow along.

Topics include:

Using the Markdown language and Jupyter Notebook
Creating objects
Selecting objects
Using operations
Merging data
Grouping
Creating series
Creating data frames
Creating panels
Plotting
Annotating plots and data frame plots

Introduction
Welcome
34s
What you should know
18s
NumPy, data science, and IMQAV
4m 21s
Using the exercise files
1m 36s
Install software
3m 29s
1. Introduction to Notebooks
Introduction to Jupyter Notebook
1m 51s
Launch Jupyter Notebook
1m 15s
Notebook basics
4m 44s
Markdown
4m 40s
Markdown tables
1m 51s
Beautiful mathematics typesetting
3m 2s
2. Pandas Overview
Object creation
7m 39s
Selection
7m
Assignment statements
4m 8s
Missing data
4m 1s
Operations
2m 38s
Merge: concat, join, append
2m 48s
Input and output
2m 40s
Remote data access
2m 9s
Grouping
1m 31s
Categoricals
2m 2s
Time series resampling
3m 24s
3. Series
Create series
3m 55s
Vectorized operations
5m 30s
Date arithmetic
4m 33s
4. Data Frames and Panels
Create data frames
3m 19s
Select, add, and delete
2m 24s
Indexing and selection
4m 53s
NumPy universal functions
2m 39s
Create panels
4m 41s
5. Plotting
Inline plotting
3m 42s
Figures and subplots
3m 7s
Multiple lines in a single plot
6m 8s
Tick marks, labels, and grids
2m 19s
Plot annotations
2m 28s
Data frame plots
4m 53s
Conclusion
Next steps
1m

پیشنهاد فرادرس

لینک های دانلود حجم فایل: 296.0MB Lynda Pandas for Data Science_git.ir.rar