Day 87 of #100DaysOfCode ToDo Web App Work-in-progress - Implemented User Registration and Authentication - Used SQLite for db - Need more UI/UX improvements
Day 87 of #100DaysOfCode ToDo Web App Work-in-progress - Used Flask Framework - TODO: Implement User Registration
Day 86 of #100DaysOfCode GUI - Dangerous Writing App - Deletes all the input text if the user stopped typing after 5 seconds - Use CustomTkinter for this app
LFA: Days 81 to 100 are basically creating portfolio projects, (currently on day 85) but i don't find the current lesson "interesting ". Should i just move forward and start projects im interested in? Or should i just push myself to finish the current lesson? #100DaysOfCode
Day 84 of #100DaysOfCode GUI - Custom Travel Calculator App Decided to deviate from lesson instructions - switch from Watermark App to Calculator App - use customtkinter instead of tkinter Github Link: github.com/nubcoder420/Pr…
Day 82 of #100DaysOfCode Web Development - Portfolio Website This work-in-progress portfolio website is greatly inspired by brittanychiang.com
Now starting building portfolio projects. Day 81 of #100DaysOfCode Python Scripting - Text to Morse Code Converter
Day 80 of #100DaysOfCode Capstone Project - Predicting House Prices Github link to ipynb: github.com/nubcoder420/10…
Day 79 of #100DaysOfCode More Exercises on Data Visualisation Github Link to ipynb: github.com/nubcoder420/10…
Day 78 of #100DaysOfCode More Exercises using Plotly, Matplotlib and Seaborn Nobel Prize Data Analysis Github Link to ipynb: github.com/nubcoder420/10…
Day 76 of #100DaysOfCode Computation with Numpy and N-Dimensional Arrays Lessons: - np.array() - .arange(), .random(), .linspace() - Broadcasting - Manipulate images in the form of ndarrays Github Link to ipynb: github.com/nubcoder420/10…
Day 75 of #100DaysOfCode Plotly Charts Lessons: - .sample() - .duplicated(), .drop_duplicates() - .to_numeric() - Pie, Donut, Bar, Box, and Scatter Plots Github Link to ipynb: github.com/nubcoder420/10…
Day 74 of #100DaysOfCode Data Visualisation with Matplotlib Lessons: - matplotlib.dates Locators - .describe(), .resample(), .isna().values.sum() - linestyles, linewidth and markers - .grid() Github Link to .ipynb: github.com/nubcoder420/10…
United States Tendencias
- 1. Ohtani 202K posts
- 2. Dodgers 247K posts
- 3. Dodgers 247K posts
- 4. Carson Beck 16.2K posts
- 5. $SAWA 1,664 posts
- 6. Miami 98.8K posts
- 7. Louisville 27.7K posts
- 8. Nebraska 17.6K posts
- 9. Brewers 54.9K posts
- 10. Babe Ruth 3,171 posts
- 11. NLCS 57.7K posts
- 12. Emiru 5,182 posts
- 13. #SmackDown 56.4K posts
- 14. #BostonBlue 7,750 posts
- 15. Rhule 4,567 posts
- 16. Minnesota 47.3K posts
- 17. 3 HRs 9,967 posts
- 18. George Santos 80.2K posts
- 19. 10 Ks 4,400 posts
- 20. Massie 28.4K posts
Something went wrong.
Something went wrong.