GSOC 2017 - Week 4 of GSoC 17
Published:
This blog is dedicated to the third week of Google Summer of Code (i.e June 24 - July 1). This week was concentrated on cross-testing and analysis of the API with some challenging tests.
Published:
This blog is dedicated to the third week of Google Summer of Code (i.e June 24 - July 1). This week was concentrated on cross-testing and analysis of the API with some challenging tests.
Published:
This blog is dedicated to the third week of Google Summer of Code (i.e June 16 - June 23). But first, a brief insight is given about how the code works.
Published:
This blog is dedicated to the second week of Google Summer of Code (i.e June 8 - June 15). The target of the second week according to my timeline was to implement the Jacobian and gradient using numdifftools.
Published:
This blog is dedicated to the first week of Google Summer of Code (i.e June 1 - June 7). The target of the first week according to my timeline was to get conversant with the code structure and implement the derivative using statsmodels and partly by numdifftools.
Published:
This is the basic outline of the design of the scipy.diff module. I have thoroughly investigated the functioning of statsmodels and numdifftools. Along with it, scipy.misc.derivative has also been looked at. In scipy.diff I propose to have adaptations from numdifftools and statsmodels majorly due to their accurate results, sophisiticated techniques of computation and ease of accessibility.
Published:
I have been selected for the GSOC 2017 under the umbrella organisation of Python Software Foundation - Scipy. The topic of my project is: implementation of a module : scipy.diff.
Published:
This blog is dedicated to the third week of Google Summer of Code (i.e June 24 - July 1). This week was concentrated on cross-testing and analysis of the API with some challenging tests.
Published:
This blog is dedicated to the third week of Google Summer of Code (i.e June 16 - June 23). But first, a brief insight is given about how the code works.
Published:
This blog is dedicated to the second week of Google Summer of Code (i.e June 8 - June 15). The target of the second week according to my timeline was to implement the Jacobian and gradient using numdifftools.
Published:
This blog is dedicated to the first week of Google Summer of Code (i.e June 1 - June 7). The target of the first week according to my timeline was to get conversant with the code structure and implement the derivative using statsmodels and partly by numdifftools.
Published:
This is the basic outline of the design of the scipy.diff module. I have thoroughly investigated the functioning of statsmodels and numdifftools. Along with it, scipy.misc.derivative has also been looked at. In scipy.diff I propose to have adaptations from numdifftools and statsmodels majorly due to their accurate results, sophisiticated techniques of computation and ease of accessibility.
Published:
I have been selected for the GSOC 2017 under the umbrella organisation of Python Software Foundation - Scipy. The topic of my project is: implementation of a module : scipy.diff.
Published:
This blog is dedicated to the third week of Google Summer of Code (i.e June 24 - July 1). This week was concentrated on cross-testing and analysis of the API with some challenging tests.
Published:
This blog is dedicated to the third week of Google Summer of Code (i.e June 16 - June 23). But first, a brief insight is given about how the code works.
Published:
This blog is dedicated to the second week of Google Summer of Code (i.e June 8 - June 15). The target of the second week according to my timeline was to implement the Jacobian and gradient using numdifftools.
Published:
This blog is dedicated to the first week of Google Summer of Code (i.e June 1 - June 7). The target of the first week according to my timeline was to get conversant with the code structure and implement the derivative using statsmodels and partly by numdifftools.
Published:
This is the basic outline of the design of the scipy.diff module. I have thoroughly investigated the functioning of statsmodels and numdifftools. Along with it, scipy.misc.derivative has also been looked at. In scipy.diff I propose to have adaptations from numdifftools and statsmodels majorly due to their accurate results, sophisiticated techniques of computation and ease of accessibility.
Published:
I have been selected for the GSOC 2017 under the umbrella organisation of Python Software Foundation - Scipy. The topic of my project is: implementation of a module : scipy.diff.
Published:
This blog is dedicated to the third week of Google Summer of Code (i.e June 24 - July 1). This week was concentrated on cross-testing and analysis of the API with some challenging tests.
Published:
This blog is dedicated to the third week of Google Summer of Code (i.e June 16 - June 23). But first, a brief insight is given about how the code works.
Published:
This blog is dedicated to the second week of Google Summer of Code (i.e June 8 - June 15). The target of the second week according to my timeline was to implement the Jacobian and gradient using numdifftools.
Published:
This blog is dedicated to the first week of Google Summer of Code (i.e June 1 - June 7). The target of the first week according to my timeline was to get conversant with the code structure and implement the derivative using statsmodels and partly by numdifftools.
Published:
This is the basic outline of the design of the scipy.diff module. I have thoroughly investigated the functioning of statsmodels and numdifftools. Along with it, scipy.misc.derivative has also been looked at. In scipy.diff I propose to have adaptations from numdifftools and statsmodels majorly due to their accurate results, sophisiticated techniques of computation and ease of accessibility.
Published:
I have been selected for the GSOC 2017 under the umbrella organisation of Python Software Foundation - Scipy. The topic of my project is: implementation of a module : scipy.diff.