Coming from the 2012 PyData Workshop, Wes McKinney, CTO and cofounder of Lambda Foundry, gives us a tour of Pandas, a rich data manipulation tool built on top of NumPy. Frustrated with working in R, Wes started building Pandas in 2008 with a focus on fast, intuitive data structures and data manipulation capabilities. The Pandas project has seen huge growth in the last few years, and aims to be the ultimate data tool for Python.
** More educational resources on open source development at marakana.com
** See the rest of the presentations from the 2012 PyData Workshop here - mrkn.co/3tkq2
- 2012 PyData Workshop: Data Analysis in Python with Pandas ( Download)
- Vivian Zhang - Python Data Analytics Workshop - NumPy, pandas, matplotlib, and SciPy ( Download)
- Data analysis in Python with pandas ( Download)
- Data analysis in Python with pandas ( Download)
- 2012 PyData Workshop Panel Discussion with Guido van Rossum ( Download)
- Data analysis in Python with pandas ( Download)
- Data analysis in Python with pandas ( Download)
- Chris Nyland - Pandas' Thumb: unexpected evolutionary use of a Python library. ( Download)
- Vincent Warmerdam - Visualising Data through Pandas ( Download)
- Python Pandas Tutorial | Data Analysis with Python Pandas | Python Training | All In One Code ( Download)
- Data Analysis in Python (PyCon APAC 2014) ( Download)
- 2012 PyData Workshop: Boosting NumPy with Numbexpr and Cython ( Download)
- pandas: Powerful data analysis tools for Python ( Download)
- 12 Data Analytics with Pandas & Data Visualization in Python ( Download)
- Giovanni Lanzani - Python and pandas as back end to real-time data driven applications ( Download)
