#Module 4 : Python for data science: Functions
Section 4 is divided into sub sections
👉 4.1 Introduction

👉 4.2 Types of functions

👉 4.3 Function arguments

👉 4.4 Recursive functions

👉 4.5 Lambda functions

👉 4.6 Modules

👉 4.7 Packages

👉 4.8 File Handling

👉 4.9 Exception Handling

👉 4.10 Debugging Python

4.1 Introduction

4.2 Types of functions

4.3 Function arguments

4.4 Recursive functions

4.5 Lamda functions

4.6 Modules

4.7 Packages

4.8 File Handling

4.9 Exception Handling

4.10 Debugging python

#Module 5 : Python for Data Science: Numpy
Section 5 is divided into sub sections

👉 5.1 Numpy Introduction

👉 5.2 Numerical operations on Numpy

5.1 Numpy Introduction

5.2 Numerical operations on Numpy

#Module 6 : Python for Data Science: Matplotlib

👉 6.1 Getting started with Matplotlib

6.1 Getting started with Matploitb

#Module 7 : Python for Data Science: Pandas
Section 7 is divided into sub sections

👉 7.1 Getting started with pandas

👉 7.2 Data Frame Basics

👉 7.3 Key Operations on Data Frames

7.1 Getting started with pandas

7.2 Data Frame Basics

7.3 Key Operations on Data Frames

#Module 8 : Python for Data Science: Computational Complexity

Section 8 is divided into sub sections

👉 8.1 Space and Time Complexity: Find largest number in a list

👉 8.2 Binary search

👉 8.3 Find elements common in two lists

👉 8.4 Find elements common in two lists using a Hashtable/Dict