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Python Programming for Data Science | Modules and Packages | import modules - math, os, sys

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This video covers the concepts related to the Python Module and Package. It explains the various syntaxes to import the packages in Python:
import module_name
import module_name as alias_name
from module import object_name
from module import object_name as alias_name
Python Programming is the most in-demand programming language and Data Scientist is the most sought-after resource in the job market.
Here comes our full training content on Python Programming for Data Science.
Our video provides detailed Python Programming knowledge. It starts from Step-by-Step Installation Guide, Basics of Python Programming to Advanced Python Programming like Programming Structures & User Defined Functions.
In this video you will learn:
1) Step-by-step instructions on the installation of Anaconda.
2) Basic introduction to the World of Python.
3) Efficiently working on Jupyter Notebook and Spyder IDE
4) Data Types & Data Structures in Python
5) Modules and Packages in Python
6) Numpy & Pandas
7) Data Import & Export
8) Programming Structures (Loops & Conditional Statements)
9) Data Manipulations in Python (Sort, Merge, Aggregate, Filter, etc)
10)User Defined Functions & Lambda Function
import module_name
import module_name as alias_name
from module import object_name
from module import object_name as alias_name
Python Programming is the most in-demand programming language and Data Scientist is the most sought-after resource in the job market.
Here comes our full training content on Python Programming for Data Science.
Our video provides detailed Python Programming knowledge. It starts from Step-by-Step Installation Guide, Basics of Python Programming to Advanced Python Programming like Programming Structures & User Defined Functions.
In this video you will learn:
1) Step-by-step instructions on the installation of Anaconda.
2) Basic introduction to the World of Python.
3) Efficiently working on Jupyter Notebook and Spyder IDE
4) Data Types & Data Structures in Python
5) Modules and Packages in Python
6) Numpy & Pandas
7) Data Import & Export
8) Programming Structures (Loops & Conditional Statements)
9) Data Manipulations in Python (Sort, Merge, Aggregate, Filter, etc)
10)User Defined Functions & Lambda Function
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