Twitter Digest 2017 Week 36

Posted by PyBites on Sun 10 September 2017 in Digest • Tagged with twitter, news, tips, python, Machine Learning, Data Visualisation, Git, Data Science, Books, Bots, Jupyter, Flask, REST, CLI, Pandas, Slack, Django, pinclone, Pipenv • 2 min read

Every weekend we share a curated list of 15 cool things (mostly Python) that we found / tweeted throughout the week.


Continue reading

Twitter digest 2017 week 34

Posted by PyBites on Sun 27 August 2017 in Digest • Tagged with twitter, news, tips, python, pybites, APIs, regex, Jupyter, OpenCV, Pillow, SunPy, collections, open source, training, learning, CSV, Data Analysis, Python, Podcast, Spacing • 2 min read

Every weekend we share a curated list of 15 cool things (mostly Python) that we found / tweeted throughout the week.


Continue reading

Twitter digest 2017 week 33

Posted by PyBites on Sun 20 August 2017 in Digest • Tagged with twitter, news, tips, python, Django, Docker, NNabla, PyTorch, TensorFlow, PyBeeWare, IPython, CLI, PyCharm, Jupyter, Data Visualisation, chatbot, Facebook, API, Pandas, Markdown, Mistletoe • 2 min read

Every weekend we share a curated list of 15 cool things (mostly Python) that we found / tweeted throughout the week.


Continue reading

Twitter digest 2017 week 31

Posted by PyBites on Sun 06 August 2017 in Digest • Tagged with twitter, news, tips, python, coding, Docker, Selenium, Chrome, regex, NodeJS, Twilio, Sendgrid, CLI, PyConAU, astronomy, git, pandas, Jupyter, comprehension, nginx, video, Game of Thrones • 2 min read

Every weekend we share a curated list of 15 cool things (mostly Python) that we found / tweeted throughout the week.


Continue reading

Twitter digest 2017 week 29

Posted by PyBites on Sun 23 July 2017 in Digest • Tagged with twitter, news, tips, python, regex, Django, code, NASA, Machine Learning, tools, anyprint, Flask, Asyncio, Quart, IoT, Pandas, Jupyter • 2 min read

Every weekend we share a curated list of 15 cool things (mostly Python) that we found / tweeted throughout the week.


Continue reading

Twitter digest 2017 week 27

Posted by PyBites on Sun 09 July 2017 in Digest • Tagged with twitter, news, tips, python, pybites, raspberry pi, matplotlib, scikit, Django, flask, ubuntu, Lisp, algorithms, math, pytest, AWS, scrapy, jupyter • 2 min read

Every weekend we share a curated list of 15 cool things (mostly Python) that we found / tweeted throughout the week.


Continue reading

Twitter digest 2017 week 22

Posted by PyBites on Sun 04 June 2017 in Digest • Tagged with twitter, news, tips, python, packages, pandas, video, data science, cloud, json, podcasts, puzzles, arrays, finance, classes, jupyter, pathlib, signalconf • 2 min read

Every weekend we share a curated list of 15 cool things (mostly Python) that we found / tweeted throughout the week.


Continue reading

Twitter digest 2017 week 20

Posted by PyBites on Sun 21 May 2017 in Digest • Tagged with twitter, news, tips, python, pycharm, vim, PyCon2017, tutorials, resources, bpython, dictionaries, Postgres, cli, mentors, tkinter, speedml, machine learning, jupyter, aws, lambda, pcap, unity3d, bot, flask • 2 min read

Every weekend we share a curated list of 15 cool things (mostly Python) that we found / tweeted throughout the week.


Continue reading

Twitter digest 2017 week 18

Posted by PyBites on Sun 07 May 2017 in Digest • Tagged with twitter, news, tips, python, word cloud, 100days, algorithms, beginner, machine learning, tutorial, unittest, jupyter, twilio, aws, raspberry pi, xml, learning • 2 min read

Every weekend we share a curated list of 15 cool things (mostly Python) that we found / tweeted throughout the week.


Continue reading

Visualizing website and social media metrics with matplotlib [notebook]

Posted by Bob on Wed 08 February 2017 in Data • Tagged with matplotlib, visualization, histogram, jupyter, data analysis, data science, socialmedia, googletrends • 12 min read

in this notebook i use matplotlib.pyplot to create simple yet powerful visualizations of pybites twitter activity, our blog's tag usage and our website traffic. Lastly I use Google trends to see popularity of various social media.


Continue reading