I am signing up for #Replit100DaysOfCode! of #Python challenge! I will make sure to spend some time every day coding along, for a minimum of 10 minutes a day.
You can follow my progress at https://t.co/zBc6koAl0b #Day1_100
100 Days of Code - Learn #Python / Commit to 20 minutes a day of learning to build up your Python programming skills with #Replit. Join #replit100DaysOfCode here https://t.co/Qk55jAEbPW / https://t.co/K84TjpMMJU
Twitter experienced slight degradation of service today from an old 3rd party tool used to block accounts that had no rate limit (sigh). Should be fixed now.
R1D6 #Day6 of #100DaysOfCode: Created a notebook that reads "csv" file from Binance history. Added some transformations to columns and pivot table #TPQ#Python#Quants#Finance https://t.co/jUROAG6oDW @dyjh https://t.co/2F09400URp
R1D4 #Day4 of #100DaysOfCode: Continued with Binance example. Added plotly table object. Tried to use other API calls: Time stamp error APIError(code=-1021) #TPQ#Python#Quants https://t.co/jUROAG6oDW @dyjh https://t.co/D51nrfvlB9
"Market fluctuations should be studied as if they were the result of one man’s operations (the Composite Man) who sits behind the scenes & manipulates markets to your disadvantage if you do not understand the game; and to your great profit if you do understand it." --R.Wyckoff
R1D3 #Day3 of #100DaysOfCode: Split yesterday's application in two Jupyter notebooks. Installed and played with Plotly and Python-Binance #TPQ#Python#Quants https://t.co/jUROAG6oDW @dyjh https://t.co/sEk6MR3X7x
R1D2 of #100DaysOfCode: Started to build a simple app to obtain data from Yahoo and Binance (based on YT tutorials) #TPQ#Python#Quants https://t.co/sraNLcPB0q
@dyjh https://t.co/QfInQhAUsM
Day1⃣ of #100DaysOfCode
1) Create folder JavaScript30
2) Open folder in VSCode
3) Go to Terminal
4) npx create-react-app javascript30
5) Go boil water for tea
5) Eat an orange
6) Check if npx finished to load
7) Go take bath
8) Call my friends
9) cd javascript30
10) yarn start
Free Machine Learning Resources for Beginners
🍺 Machine learning course from Stanford
🍺 Elements of AI
🍺 Google’s machine learning crash course
🍺 ML and Big Data analytics course
🍺 IBM machine learning with python
#machinelearning#python
links 👇
And if you are already feeling #SAPTechEd withdrawal, there are plenty of replays and workshops available on demand. For example if you want to learn CAP + HANA + Fiori dev you can do DAT160 self paced at any time https://t.co/WoDWfjumFp
Time for lunch, but nothing to watch on Netflix while eating?
My #SAPTechEd session "Build Data Pipelines with #SAPDataIntelligence", where I demo tracking #ISS, is now available on-demand 👉 https://t.co/SA67ZuYKp2
Supplementary blog post with code 🖖 https://t.co/j7IAcbBfhP