sonu275981 / python-operations

Jupyter notebooks and datasets for the interesting pandas/python/data science video series.

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Jupyter notebooks and datasets for the interesting pandas/python/data science video series.

Contribution

Feel free to contribute or suggest new ideas. To get in touch write on mail.

You can find nice guide about GitHub contribution:

Who is this repo for?

For people who are interested in data science, data analysis and finding interesting insights for data. This repository is related to sites:

where you can find more interesting articles.

New website dedicated to Pandas and Data Science was started: https://datascientyst.com/. It has better organization and covers topics in many areas.

The youtube channel is:

Latest Videos

Pandas

  1. Pandas Tutorial : How to split columns of dataframe
  2. Pandas Tutorial : How to split dataframe by string or date
  3. Easily extract tables from websites with pandas and python
  4. Easily extract information from excel with Python and Pandas
  5. Extract tabular data from PDF with Python - Tabula, Camelot, PyPDF2
  6. Pandas is column part of another column in the same row of dataframe
  7. Load multiple CSV files into a single Dataframe
  8. Analyze top youtube channels 2019 with pandas - PewDiePie I
  9. dataframe column transformations ( str, int, category, concat)
  10. Pandas DataFrame generate n-level hierarchical JSON
  11. Pandas How add new column existing DataFrame
  12. Python Pandas find and drop duplicate data
  13. Map the headers to a column with pandas?
  14. Pandas count values in a column of type list
  15. How to Optimize and Speed Up Pandas
  16. Pandas count and percentage by value for a column
  17. Pandas use a list of values to select rows from a column

python

  1. python string split by separator
  2. python random number generation examples
  3. bilingual programming education in java and python
  4. biggest programmer salaries 2018
  5. python extract text from image or pdf
  6. Python read validate and import CSV JSON file to MySQL
  7. python regex match date
  8. python regex cheat sheet with examples
  9. python string methods tutorial
  10. python shuffle list
  11. Easy install of Python and PyCharm on Windows
  12. learn python for beginners complete tutorial 2018
  13. think python chaper 2
  14. Python/Java bad and good code comments examples
  15. intellij pycharm surround string quote
  16. Top Five Most Annoying Programming Mistakes For Beginners with Python
  17. No Python Interpreter Configured For The Module - PyCharm/IntelliJ
  18. python split string into list examples
  19. How to migrate/update virtualenv from Python 3.5 to 3.6
  20. Python String Remove Last n Characters
  21. Python Pandas 7 examples of filters and lambda apply
  22. The simplest way to run python headless test with Chrome on Ubuntu
  23. Python 3 Simple Examples get current folder and go to parent
  24. python join/merge list two and more lists
  25. Easy way to convert dictionary to SQL insert with Python
  26. Python 3 detect and prevent TypeError-s
  27. The right way to declare multiple variables in Python
  28. Python uninstall a module installed with pip install and virtual envirornment
  29. python performance profiling in pycharm
  30. Python Cumulative Sum per Group with Pandas
  31. PyCharm - Breakpoints, Favorites, TODOs simple examples
  32. Python 3 simple ways to list files and folders
  33. Python 3 elegant way to find most/less common element in a list
  34. clock angle problem final
  35. Python 3 List Comprehension Tutorial for beginners
  36. python 3 how to remove white spaces
  37. Pandas Tutorial : How to split dataframe by string or date
  38. improve your programming skills with fun
  39. pandas dataframe search for string in all columns filter regex
  40. Pandas is column part of another column in the same row of dataframe
  41. Easily extract tables from websites with pandas and python
  42. Easily extract information from excel with Python and Pandas
  43. Python asterisk argument or What is the usage of * asterisk in Python
  44. Easy Image validation with Python - valid image, blank or pattern
  45. Pandas DataFrame generate n-level hierarchical JSON
  46. Python group or sort list of lists by common element
  47. Think Python: Chapter 3 Functions 3.2
  48. Questions and Answers 1 Improve OCR and tabula range
  49. Map the headers to a column with pandas?

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Jupyter notebooks and datasets for the interesting pandas/python/data science video series.

https://softhints.com/


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