atillaguzel

url = ['https://github.com/pandas-dev/pandas',
       'https://github.com/scikit-learn/scikit-learn',
       'https://github.com/keras-team/keras']

libraries = ['Pandas', 'Scikit_Learn', 'Keras']
libs_dict = dict(zip(libraries, url))

columns = ['Issues', 'Pull', 'Projects', 'Commits', 'Branches', 'Releases', 'Contributors', 'Watch', 'Star', 'Fork']
df = pd.DataFrame(columns=columns, index=libraries)

atillaguzel

import seaborn as sns
from pytrends.request import TrendReq
import matplotlib.pyplot as plt

pytrends = TrendReq(hl='en-US', tz=360)
kw_list = ["Data Science",
           "Machine Learning",
           "Artificial Intelligence",
           "Data Analytics"]
pytrends.build_payload(kw_list, cat=0, timeframe='all', geo='', gprop='')

atillaguzel

Using Git

Global Settings

• Related Setup: https://gist.github.com/hofmannsven/6814278
• Related Pro Tips: https://ochronus.com/git-tips-from-the-trenches/
• Interactive Beginners Tutorial: http://try.github.io/
• Git Cheatsheet by GitHub: https://services.github.com/on-demand/downloads/github-git-cheat-sheet/

atillaguzel

MySQL

Getting started:

• http://www.sqlteaching.com/
• https://www.codecademy.com/courses/learn-sql

Related tutorials:

• MySQL-CLI
• Analyzing Business Metrics