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Udemy - Python Pandas Library Full Tutorial

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Added 6 years ago by daviddcsl in Other
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Udemy - Python Pandas Library Full Tutorial (Size: 385.53 MB)
  1. Introduction
  1. Introduction--- [ FreeCourseWeb.com ] ---.mp4 5.7 MB
  1. Introduction--- [ FreeCourseWeb.com ] ---.srt 1.84 KB
  2. Install and Upgrade Pandas and Basics of Jupyter Notebook--- [ FreeCourseWeb.com ] ---.mp4 13.16 MB
  2. Install and Upgrade Pandas and Basics of Jupyter Notebook--- [ FreeCourseWeb.com ] ---.srt 4.26 KB
  3. How to create a dataframe and series--- [ FreeCourseWeb.com ] ---.mp4 12.88 MB
  3. How to create a dataframe and series--- [ FreeCourseWeb.com ] ---.srt 4.47 KB
  4. Creating a CSV File--- [ FreeCourseWeb.com ] ---.mp4 7.52 MB
  4. Creating a CSV File--- [ FreeCourseWeb.com ] ---.srt 2.64 KB
  5. Read CSV--- [ FreeCourseWeb.com ] ---.mp4 22.65 MB
  5. Read CSV--- [ FreeCourseWeb.com ] ---.srt 5.76 KB
  6. Head, Tail & Describe--- [ FreeCourseWeb.com ] ---.mp4 7.57 MB
  6. Head, Tail & Describe--- [ FreeCourseWeb.com ] ---.srt 2.7 KB
  7. Indexing--- [ FreeCourseWeb.com ] ---.mp4 14.83 MB
  7. Indexing--- [ FreeCourseWeb.com ] ---.srt 5.63 KB
  2. Intermediate Level
  1. Creating DF using Numpy--- [ FreeCourseWeb.com ] ---.mp4 14.4 MB
  1. Creating DF using Numpy--- [ FreeCourseWeb.com ] ---.srt 3.64 KB
  10. Deleting Rows or Columns--- [ FreeCourseWeb.com ] ---.mp4 7.42 MB
  10. Deleting Rows or Columns--- [ FreeCourseWeb.com ] ---.srt 1.96 KB
  11. Print Certain Amount of Rows and Columns--- [ FreeCourseWeb.com ] ---.mp4 10.15 MB
  11. Print Certain Amount of Rows and Columns--- [ FreeCourseWeb.com ] ---.srt 2.97 KB
  12. Print with Conditions--- [ FreeCourseWeb.com ] ---.mp4 5.66 MB
  12. Print with Conditions--- [ FreeCourseWeb.com ] ---.srt 1.63 KB
  13. Print with Multiple Conditions--- [ FreeCourseWeb.com ] ---.mp4 10.41 MB
  13. Print with Multiple Conditions--- [ FreeCourseWeb.com ] ---.srt 2.69 KB
  14. ILOC--- [ FreeCourseWeb.com ] ---.mp4 18.22 MB
  14. ILOC--- [ FreeCourseWeb.com ] ---.srt 4.87 KB
  15. Replace--- [ FreeCourseWeb.com ] ---.mp4 12.27 MB
  15. Replace--- [ FreeCourseWeb.com ] ---.srt 2.97 KB
  16. Reset Index--- [ FreeCourseWeb.com ] ---.mp4 10.85 MB
  16. Reset Index--- [ FreeCourseWeb.com ] ---.srt 3.36 KB
  17. IsNull( )--- [ FreeCourseWeb.com ] ---.mp4 6.38 MB
  17. IsNull( )--- [ FreeCourseWeb.com ] ---.srt 2.32 KB
  18. DropNA--- [ FreeCourseWeb.com ] ---.mp4 20.53 MB
  18. DropNA--- [ FreeCourseWeb.com ] ---.srt 5.29 KB
  19. Drop Duplicates--- [ FreeCourseWeb.com ] ---.mp4 14.34 MB
  19. Drop Duplicates--- [ FreeCourseWeb.com ] ---.srt 4.95 KB
  2. Data Type--- [ FreeCourseWeb.com ] ---.mp4 11.36 MB
  2. Data Type--- [ FreeCourseWeb.com ] ---.srt 2.85 KB
  3. Getting Index and Column--- [ FreeCourseWeb.com ] ---.mp4 4.22 MB
  3. Getting Index and Column--- [ FreeCourseWeb.com ] ---.srt 1.3 KB
  4. DF to Numpy--- [ FreeCourseWeb.com ] ---.mp4 7.17 MB
  4. DF to Numpy--- [ FreeCourseWeb.com ] ---.srt 1.7 KB
  5. Transpose of DataFrame--- [ FreeCourseWeb.com ] ---.mp4 6.5 MB
  5. Transpose of DataFrame--- [ FreeCourseWeb.com ] ---.srt 1.09 KB
  6. Sorting--- [ FreeCourseWeb.com ] ---.mp4 10.21 MB
  6. Sorting--- [ FreeCourseWeb.com ] ---.srt 3.15 KB
  7. Is Dataframe combination of Series--- [ FreeCourseWeb.com ] ---.mp4 7.42 MB
  7. Is Dataframe combination of Series--- [ FreeCourseWeb.com ] ---.srt 1.84 KB
  8. loc in Pandas--- [ FreeCourseWeb.com ] ---.mp4 22.37 MB
  8. loc in Pandas--- [ FreeCourseWeb.com ] ---.srt 5.38 KB
  9. What if you mistake a column name--- [ FreeCourseWeb.com ] ---.mp4 12.7 MB
  9. What if you mistake a column name--- [ FreeCourseWeb.com ] ---.srt 3.74 KB
  3. Miscellenious
  1. Miscellenious--- [ FreeCourseWeb.com ] ---.mp4 21.95 MB
  1. Miscellenious--- [ FreeCourseWeb.com ] ---.srt 6.18 KB
  2. For Loops--- [ FreeCourseWeb.com ] ---.mp4 11.74 MB
  2. For Loops--- [ FreeCourseWeb.com ] ---.srt 3.29 KB
  3. Adding a New Column--- [ FreeCourseWeb.com ] ---.mp4 6.71 MB
  3. Adding a New Column--- [ FreeCourseWeb.com ] ---.srt 1.92 KB
  4. String Contains and REGEX--- [ FreeCourseWeb.com ] ---.mp4 15.49 MB
  4. String Contains and REGEX--- [ FreeCourseWeb.com ] ---.srt 6.11 KB
  5. Conditional Changes--- [ FreeCourseWeb.com ] ---.mp4 9.85 MB
  5. Conditional Changes--- [ FreeCourseWeb.com ] ---.srt 2.41 KB
  6. Chunksize--- [ FreeCourseWeb.com ] ---.mp4 22.79 MB
  6. Chunksize--- [ FreeCourseWeb.com ] ---.srt 5.43 KB

Description


What you'll learn

pandas library
Requirements

numpy arrays
python
Description

pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. In this course, you'll learn a lot about this library. Basic knowledge of Numpy is required, as we will perform some tasks using NumPy.

[Note: In this course, we used Jupyter Notebook to write all the codings. in case if you don't have Jupyter Notebook or you don't how to use Jupyter Notebook, you can simply run these codes in any IDE, or even in Python Default IDLE.]

Who this course is for:

Beginner in Python
Who wants to learn Pandas Library

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