Mashreghi

Mashreghi

@M-Mashreghi
133
Followers
99
Following
82
Public Repos
0
Private Repos

Language Breakdown

Lines of code distribution across 64 owned repositories

228.2M Total LOC
Jupyter Notebook
196,333,140 lines
86.0%
N/A
C
23,129,174 lines
10.1%
N/A
HTML
5,824,304 lines
2.6%
N/A
TeX
1,442,554 lines
0.6%
N/A
Python
444,145 lines
0.2%
N/A
Other
1,014,142 lines
0.4%
N/A
I

I-Shaped Developer

I-shaped

Specialist — deep expertise in Jupyter Notebook

Jupyter Notebook
C
HTML
TeX
Python

Collaboration Network

Global Impact visualization

LIVE
Mashreghi
0 active collaborators

Repos

88

PRs

0

Growth

+18%

Top Collaborators

No collaborator data yet.

Coding Streak

Contribution activity over the past year

1 day
293
Contributions
288
Commits
0
Pull Requests
Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun
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Top Repositories

Free-V2ray-Collector
55 7
Python
Birthday-problem

In probability theory, the birthday problem asks for the probability that, in a set of n randomly chosen people, at least two will share a birthday. The birthday paradox is that, counterintuitively, the probability of a shared birthday exceeds 50% in a group of only 23 people.

4 0
Python
youtube-downloader

Downloads videos and playlists and music and thumbnail with English subtitles from YouTube with Colab.😉

3 1
Jupyter Notebook
UT-messenger

a simple messenger made with C++

3 0
C++
Banach-s-matchbox
3 0
Jupyter Notebook
Euler-s-number

Uniform sums and Euler’s number

3 0
Jupyter Notebook
Buffon-s-Needle

Buffon’s needle is one of the oldest problems in geometric probability. First stated in 1777 by Georges-Louis Leclerc, Comte de Buffon, it involves dropping a needle onto a series of parallel lines (often described as a collection of parallel wooden floorboards). A remarkable outcome of this analysis is that the probabilities involved are directly related to Pi.

3 0
Python
Fourierseries

A matlab code that shows graph of different value of N with error graph

3 0
MATLAB
Bertrandparadox

The Bertrand paradox is a problem within the classical interpretation of probability theory. Joseph Bertrand introduced it in his work Calculation of probabilities (1889), as an example to show that the principle of indifference may not produce definite, well-defined results for probabilities if it is applied uncritically when the domain of possibilities is infinite.

3 0
Jupyter Notebook
Videos

Code associated with my videos

3 0
Jupyter Notebook

Open Source Impact

Contributions to external projects

4 merged PRs
Contributed to 1 repositories