Python for Data Science Tutorial - Beginner Level in Telugu - Python - Numpy - Pandas

Python for Data Science Tutorial - Beginner Level in Telugu - Python - Numpy - Pandas

Sundeep Saradhi Kanthety via YouTube Direct link

- Introduction to Python

1 of 42

1 of 42

- Introduction to Python

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Classroom Contents

Python for Data Science Tutorial - Beginner Level in Telugu - Python - Numpy - Pandas

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  1. 1 - Introduction to Python
  2. 2 - Applications of Python
  3. 3 - IDEs
  4. 4 - Introduction to Python Interpreter
  5. 5 - Indentation & Comments
  6. 6 - Keywords
  7. 7 - Variables – Identifiers
  8. 8 - Built-In types
  9. 9 - Assigning Values to Variables
  10. 10 - Input and Output Statements
  11. 11 - Operators
  12. 12 - Control Structures
  13. 13 - Math & Random Modules
  14. 14 - List
  15. 15 - Tuple
  16. 16 - Strings
  17. 17 - Set
  18. 18 - Dictionary
  19. 19 - Functions
  20. 20 - Files
  21. 21 - Libraries in Python
  22. 22 - INTRODUCTION TO NUMPY
  23. 23 - INSTALLING NUMPY
  24. 24 - IMPORTING NUMPY
  25. 25 - CREATING ARRAYS
  26. 26 - INITIALIZATION OF ARRAYS
  27. 27 - ARRAY PROPERTIES
  28. 28 - ARRAY OPERATIONS
  29. 29 - ARITHMETIC OPERATIONS
  30. 30 - ARRAY FUNCTIONS
  31. 31 - INTRODUCTION TO PANDAS
  32. 32 - INSTALLATION & IMPORT
  33. 33 - HOW TO DOWNLOAD DATASET
  34. 34 - CREATING DATAFRAME
  35. 35 - INDEXING & SLICING
  36. 36 - UNDERSTANDING LOC & ILOC
  37. 37 - SORTING DATAFRAME
  38. 38 - MANIPULATING DATAFRAME
  39. 39 - REMOVING DUPLICATES
  40. 40 - HANDLING MISSING DATA
  41. 41 - DATA FILTERING & CONDITIONAL CHANGES
  42. 42 - EXPORT DATAFRAME

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