“It’s hard to believe

how far

small steps can take you

until you experience the progress

for yourself.

Then it becomes

hard to remember

where it all started.

Keep going.”

I don’t know the author but thank you Maciej for sending this text.

Keep going, bro. 🤜🏿🤛🏿

ideas

  • TODO: plan to go to Ghostday.pl conference, Poznan Miasto doznan
  • TODO: learn shortcut for Jupyther Notebook
  • TODO: try Obsidian
    • the private and flexible writing app that adapts to the way you think
    • https://obsidian.md/
  • TODO: change all links to be links that you could click & will open in another tab, mardown baby
  • TODO: after 30 days of blogging, create podcast ~15 minutes every day to read all staff what I made in the blog first step do podcast, live on Youtube without face, only share the screen
    • after 30 next days of success podcast do short lives of that on YouTube.
    • Title: “Morning Daily Confession”. I reserve the copyrights.
    • Every day at 6AM. Crazy hour. But come on. XD If I will do this challange, any anything is possible.

image

challlenges

  • have some fun with “siesta roulette”, which comes from unwise sleep management.
    • sleep only 5 hours
    • 2 hour nap
    • working after normal work hours
    • bad Kamil, bad

image

achievements

  • wake up at 8AM!
  • got dirty hands with pandas, great success, I edited some file with pandas at work, to update some data from csv to db, nothing fancy but good start
    • work with pandas is less painfull then I rememberd 4 years ago
    • work on jupyther notebook in vscode is awesome
    • black formater is owrking there 💪
  • I did some walk with my GF, ~1 hour on today afternoon

7d889f87-9e81-4244-a369-c3fcd462a1e3

learning

  • [AWS] Lambdas
    • You could use crontab expressions
    • Step Functions is a visual workflow service that helps developers use AWS services to build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines.
  • [Pandas] usage log
    • read df from csv
    • check columns
    • drop couple columns
    • change types of 2 columns
    • concatenate 2 columns together
    • double check with group by count if all done correct
    • add id column
    • apply uuid value to the column
    • set index with id
    • write df to csv
# WIP:
# TODO: need to change jupyther code to script python file
# TODO: anonymize data

  • [JupytherNotebook] Black works in vscode, pretty good.

finds

  • [AI] LangChain’s flexible abstractions and extensive toolkit unlocks developers to build context-aware, reasoning LLM applications.

  • low code or no code are good for prototyping
    • exmaple tool: Tablue a powerful data visualization tool that allows users to connect to various data sources and create interactive dashboards.
  • [TOOLS] Obsidian
    • the private and flexible writing app that adapts to the way you think
    • https://obsidian.md/

Thanks for reading this ❤️

Love, KK


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