Course Overview
This course is the perfect place for beginners to understand the core idea of essential python. It has focused more on understanding the Data structures of Python.
Since the course flows with simple logical steps, even participants without prior experience will be able to understand & develop python programs. The course has been designed completely as a self-paced course, mentored by experienced Industry experts.
Pre-requisites
The Basic knowledge of any programming language but it’s not mandatory.
Course Features
- A foundation Course for any advanced python Learning and machine learning courses.
- HandsOn session
- Will receive the course completion E-certificate.
- Interactive Activities to triggers your logical skills.
- Interaction with the Tutor in-case of any doubts/ issues during learning.
- Life-Long credibility
Example Curriculum
AGENDA
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About Python
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- Introduction & Python Features (7:42)
- How to install python? (7:24)
- How to install Python using Anaconda Installer (3:10)
- How to run python in your working system? - Subshell (7:22)
- How to run python in your working system? - NotePad (14:20)
- How to run python in your working system? - IDLE (6:12)
- How to run python in your working system? - Jupyter (7:59)
- Activity (4:17)
Python Comments, Variables & Types
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Python Strings (str)
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Python bytes
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Python Typecasting & IO
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Python Operators
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Conditional Statements
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Looping statements
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Python Containers - List
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Python Containers- Tuple
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Python Containers- Dictionary
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Python Containers- Set
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About range()
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Python File Handling
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- About File Handling & its category (7:59)
- File Read operation (13:00)
- File Read operation in Linux (3:14)
- Activity -I for File Read (4:06)
- Activity - II for File Read (3:06)
- File Write operation (4:25)
- Activity for File Write (3:13)
- File Handling with image files (2:45)
- File Read and Write operation (4:25)
- Activity for File Read/ Write (2:29)
- File Handling Block style (5:50)
- Activity - I (3:19)
- Activity - II (1:38)
Python Functions
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- Simple Function call (14:07)
- nested function call (8:20)
- Activity for Nested Function (3:44)
- Function Call with Required Arguments (6:39)
- Function Call with Default Arguments (7:41)
- Examples - Required & Default Arguments (8:34)
- Function Call with Variable length arguments (5:51)
- Function Call with Keyword arguments (5:40)
- Difference between global vs return (12:28)
Python Module
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Python Package
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Exception Handling
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Functional programming style
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- lambda (6:37)
- Activity for Lambda (3:13)
- List comprehension (6:38)
- Activity for List (3:55)
- Dictionary comprehension (3:35)
- Activity for Dictionary (2:34)
- About Functional Programming (3:33)
- map (7:04)
- Activity for map (2:51)
- filter (3:59)
- Activity for filter (3:30)
- reduce (3:45)
- Activity for reduce (5:44)