- Learn all the importance concepts about Core Python, Numpy and Pandas
- Free tutorial
- Rating: 4.3 out of 54.3 (979 ratings)
- 33,899 students
- 2hr 50min of on-demand video
- Created by Vishal Kumar Singh
- English
What you’ll learn
- Python
- Numpy
- Pandas
Requirements
- Basic programming
Description
The course covers Core Python, Numpy and Pandas. Numpy and Pandas are stumbling block for many people who venture in machine learning. This course will help students to understand machine learning code as Numpy, Pandas are the building blocks for machine learning. Please note this is not a machine learning course. Please note that I have covered only core concepts of Python and there is fare more to Python than what I have covered.
Google Python Notebook is used for code.
Following are the topics in Core Python.
- Setting up Google Notebook
- Variables in Python – String, Integer, Boolean
- Python Blocks
- If else statement
- While Loop
- List operations
- Range
- Functions
- Modules
- Exceptions
- File Handling
- Dictionaries
- Tuples
- List Slices
- List Comprehensions
- String functions
- Any,All operations
- Object Oriented Programming
- Magic methods
- Class and Static methods
Following are topics in Numpy and Pandas
- What is Numpy
- Numpy – Add, Subtract, Multiply
- Numpy Dot Product
- Numpy Slicing
- Mixing Integer Indexing And Slice Indexing
- Numpy Array Indexing
- More Array Indexing
- Boolean Array Indexing
- Numpy Sum
- Numpy Reshape
- Numpy Tensors 1D, 2D,3D
- Numpy Transposing
- Numpy Broadcasting
Pandas
- What is Pandas
- Pandas Series
- Pandas Series Index
- Pandas Advantage Over Numpy
- Pandas Loc and iLoc
- Pandas example – Finding Max
- Pandas Series Addition
- Pandas Apply Function
- Pandas DataFrames Introduction
- Pandas DataFrame Index, Loc and ILoc
- Pandas Sum Along Axis
- Pandas DataFrame Addition
- Pandas DataFrame ApplyMap
- Pandas Reading A CSV File
Who this course is for:
- Developers interested in learning Python
- Developers interested in learning Numpy
- Developers interested in learning Pandas
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Course content
4 sections • 64 lectures • 2h 50m total lengthCollapse all sections
Core Python Programming36 lectures • 1hr 45min
- Setting up free jupyter notebook on Google02:07
- How to use Jupyter notebook01:46
- Variables in Python02:43
- Python Integer Data Type04:10
- Python String Data Type03:42
- Taking Input00:55
- Python Boolean Data Type01:59
- Python Blocks01:37
- if else statement01:19
- if elif else01:19
- Boolean Logic03:18
- While Loop03:55
- Python Lists03:49
- Python List Operations – Append, Index, Max. Min04:16
- Python Range01:09
- Python Functions07:54
- Passing variable arguments to functions01:33
- Python Modules03:05
- Python Exceptions08:20
- Python File Handling03:23
- None Data Type00:46
- Python Dictionaries05:28
- Tuples01:59
- List Slices04:01
- List Comprehensions01:10
- Python String Functions03:26
- Python List Functons – Any04:28
- Python List All – Function02:22
- Object Oriented Programming02:13
- Object Oriented Programming – Methods and Class Level Attributes03:07
- Object Oriented Programming – Inheritance03:51
- Magic Methods01:27
- Python Object Lifecycle01:14
- Python Garbage Collection02:49
- Object Data Hiding- Weak Method, Private Method02:28
- Object – Class and static methods02:10
Numpy14 lectures • 38min
- What is Numpy06:42
- Numpy – Add, Subtract, Multiply02:44
- Numpy Dot Product03:27
- Numpy Slicing02:21
- Mixing Integer Indexing And Slice Indexing02:30
- Numpy Array Indexing01:40
- More Array Indexing03:14
- Boolean Array Indexing02:45
- Numpy Sum01:02
- Numpy Reshape01:49
- More Numpy Reshape01:51
- Numpy Tensors 1D, 2D,3D03:10
- Numpy Transposing00:55
- Numpy Broadcasting04:04
Pandas13 lectures • 27min
- Pandas Series03:34
- Pandas Series Index02:01
- Pandas Advantage Over Numpy02:30
- Pandas Loc and iLoc01:24
- Pandas example – Finding Max00:59
- Pandas Series Addition03:23
- Pandas Apply Function01:08
- Pandas DataFrames Introduction01:55
- Pandas DataFrame Index, Loc and ILoc01:44
- Pandas Sum Along Axis02:13
- Pandas DataFrame Addition03:04
- Pandas DataFrame ApplyMap00:58
- Pandas Reading A CSV File02:03
Machine Learning Course1 lecture • 1min
- Bonus Machine Learning Course00:09
