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