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Python Bootcamp for AI & Software Engineer

Applied Skills

9 modules

Hinglish

Access for 365 days

Take your Python programming skills to the next level in this intensive bootcamp

Overview

Python Live Bootcamp is an intensive hands-on course designed to help you master Python programming. Whether you are a beginner or intermediate Python developer, this bootcamp will take your skills to the next level. By the end of this course, you will have a strong foundation in Python and be able to develop real-world applications with confidence.

Key Highlights

Master Python programming through hands-on projects

Learn essential Python libraries and frameworks

Understand object-oriented programming (OOP) concepts

Build real-world applications from scratch

Apply Python skills to data analysis and visualization

What you will learn

Learning Outcome 1

Gain a solid understanding of Python syntax and data structures

Learning Outcome 2

Explore common Python libraries and frameworks for web development

Learning Outcome 3

Develop object-oriented programs using Python classes and inheritance

Learning Outcome 4

Create interactive web applications using Flask, Django, or other frameworks

Learning Outcome 5

Apply Python for data manipulation, analysis, and visualization

Modules

Python Basics : Level - I

15 attachments • 5 hrs

Basics of Programming

1_keywords_identifiers

Variables and Data Types

2_variables_datatypes

3_comments_indentation_statement

Input-Output, Different type of operator, if else and while loop

Preview

4_input_output

5_operators

if-elif-else

While-loop

For Loop, Break, continue, Function basics

for_loop

break_continue

Assignment-1

Functions_Introduction

Python Basics : Level - II

4 attachments • 1 hrs

Types of Function, Exception handling, List

Types of Function

What is Modules

Exception handling

Environment Set-up

Data Structures in Python

5 attachments • 1 hrs

List - 1

List - 2

Python_advanced_data_types

Tuple,Dict Set - I

Tuple,Dict Set - II

Object-Oriented Programming

3 attachments • 1 hrs

Classes and Objects

Inheritance

Polymorphism and Encapsulation

File Handling

3 attachments

Reading and Writing Files

Coming Soon

Working with CSV Files

Coming Soon

Working with JSON Files

Coming Soon

Modules and Libraries

3 attachments

Importing Modules

Coming Soon

Popular Python Libraries

Coming Soon

Creating and Publishing Modules

Coming Soon

Database Integration

3 attachments

Connecting to Databases

Coming Soon

CRUD Operations

Coming Soon

Using SQL with Python

Coming Soon

Python Best Practices

4 attachments

Code Organization

Coming Soon

Documentation and Comments

Coming Soon

Testing and Debugging

Coming Soon

Performance Optimization

Coming Soon

FAQs

How can I enrol in a course?

Enrolling in a course is simple! Just browse through our website, select the course you're interested in, and click on the "Enrol Now" button. Follow the prompts to complete the enrolment process, and you'll gain immediate access to the course materials.

Can I access the course materials on any device?

Yes, our platform is designed to be accessible on various devices, including computers, laptops, tablets, and smartphones. You can access the course materials anytime, anywhere, as long as you have an internet connection.

How can I access the course materials?

Once you enrol in a course, you will gain access to a dedicated online learning platform. All course materials, including video lessons, lecture notes, and supplementary resources, can be accessed conveniently through the platform at any time.

Can I interact with the instructor during the course?

Absolutely! we are committed to providing an engaging and interactive learning experience. You will have opportunities to interact with them through our community. Take full advantage to enhance your understanding and gain insights directly from the expert.

About the creator

About the creator

Applied Skills

 

Computer Engineer with a passion for Data Science, specializing in building tools from scratch. Over 10 years of experience teaching Applied Mathematics for IIT-JEE, GATE, and 5+ years in data science. 

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