Python Bootcamp Training

Live Online & Classroom Enterprise Training

A comprehensive, hands-on Python Bootcamp designed to build strong programming foundations and practical problem-solving skills, enabling learners to develop real-world applications using Python.

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What is Python Bootcamp Training about?

This Python Bootcamp covers core programming concepts, data structures, and essential libraries through practical examples and exercises. Learners progress from Python basics to writing efficient, reusable code and solving real-world problems, preparing them for further specialization in data science, automation, or web development.

What are the objectives of Python Bootcamp Training ?

Understand Python syntax and core programming concepts
Write clean, efficient, and reusable Python code
Work with data structures like lists, tuples, and dictionaries
Implement control flow, functions, and modules
Solve real-world problems using Python

Who is Python Bootcamp Training for?

Beginners with no prior programming experience
Students pursuing computer science or IT careers
Professionals looking to upskill in Python
Data analysts or engineers starting with Python
Anyone interested in automation or scripting

What are the prerequisites for Python Bootcamp Training?

Prerequisites:

Basic computer literacy
Familiarity with logical thinking
No prior programming knowledge required
Willingness to practice coding hands-on
Access to a computer with Python installed

Learning Path:

Python Fundamentals and Syntax
Control Structures and Functions
Data Structures and File Handling
Error Handling and Debugging
Mini Projects and Practical Exercises

Related Courses:

Advanced Python Programming
Python for Data Analysis
Python for Automation and Scripting
Introduction to Machine Learning with Python

Available Training Modes

Live Online Training

4 Days

Course Outline Expand All

Expand All

Module 1: Course Overview & Python Setup

Course objectives and learning outcomes

Python use cases and applications

Installing Python and IDE setup

Running Python scripts and notebooks

Understanding Python execution flow

Module 2: Python Objects & Data Structure Basics

Numbers, strings, and booleans

Lists, tuples, sets, and dictionaries

Indexing and slicing

Mutability vs immutability

Common built-in functions

Module 3: Python Operators and Statements

Comparison and logical operators

Conditional statements (if, else, elif)

Looping constructs (for, while)

Break, continue, and pass

Indentation and code blocks

Module 4: Methods, Functions & Milestone Project

Defining and calling functions

Arguments, return values, and scope

Lambda expressions

Built-in methods

Hands-on milestone project

Module 5: Object-Oriented Programming (OOP)

Classes and objects

Attributes and methods

Inheritance and polymorphism

Encapsulation and abstraction

OOP best practices

Module 6: Modules, Packages & Error Handling

Importing modules and packages

Creating custom modules

Understanding exceptions

Try, except, else, finally blocks

Custom exception handling

Module 7: Python Decorators & Generators

Function decorators concept

Creating and applying decorators

Generator functions and yield

Iterators vs generators

Performance benefits

Module 8: Advanced Python Modules

Standard library overview

datetime, math, random modules

OS and sys modules

Collections and itertools

Using third-party libraries

Module 9: Web Scraping with Python

Introduction to web scraping

Using requests and BeautifulSoup

Parsing HTML content

Handling pagination and errors

Ethical scraping practices

Module 10: Working with Files and Media

Image processing with Python

Reading and writing PDFs

Working with CSV and spreadsheets

File system operations

Data extraction techniques

Module 11: Email Automation with Python

Sending emails using SMTP

Email formatting and attachments

Reading and parsing emails

Automating email workflows

Security considerations

Module 12: Advanced Python Objects & Data Structures

Advanced list and dictionary usage

Collections module objects

Custom data structures

Memory and performance optimization

Practical implementation scenarios

Module 13: Final Capstone Python Project

Problem statement definition

Project planning and design

Implementation using Python concepts

Testing and debugging

Final project presentation

Who is the instructor for this training?

The trainer for this Python Bootcamp Training has extensive experience in this domain, including years of experience training & mentoring professionals.

Reviews

My outlook on training changed completely after attending SpringPeople BPC training. The content, the trainer and infrastructure at SpringPeople were top notch and perfectly in tune with the industry requirements. Regardless to say, training is now something that I look forward to to. Kudos to everyone at SpringPeople!

Shweta Priya

Sony

I attended the 3-day AngularJs training at SpringPeople. The trainer was an industry veteran with vast experience in the subject. Notably, the hands-on training, and the Q&A session stood out. Overall, I found SpringPeople a great place to learn with excellent facilities and great trainers. Would recommend SpringPeople to my colleagues and friends.

Swati Singh

I attended the training on API Design for Mulesoft. The sessions were well planned and value-laden. I benefited immensely from the hands-on experience enabled through virtual labs. I would like to specifically commend the efficiency of the support team who were always available to resolve my concerns.

Nikhil Kohli

Stryker

I attended the jQuery training batch, conducted by Mr. Vijay, an SME who did a thorough coverage of all the essentials. He took us through concepts such as jQuery animations, event handlers, plugins, and jQuery-UI by small programs, very easily. The sessions were useful and well structured. By the end of the training, I was well equipped to develop a SPA on Product Management System. Overall, the learning experience at SpringPeople was great!

Heena Rajan

Mindtree