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The Modern Python 3 Bootcamp

An engaging and comprehensive course that provides a solid foundation in Python through practical projects and clear instruction.

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

What will you in The Modern Python 3 Bootcamp Course

  • Python Fundamentals: Master variables, data types, control flow, loops, functions, and error handling.

  • Data Structures: Work with lists, dictionaries, sets, and tuples.

  • Object-Oriented Programming (OOP): Understand classes, objects, inheritance, and polymorphism.

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  • Advanced Python Concepts: Dive into decorators, generators, iterators, and higher-order functions.

  • Web Development: Build a web scraper using BeautifulSoup and make HTTP requests to APIs.

  • Testing & Debugging: Learn test-driven development (TDD) and debugging techniques.

Program Overview

Introduction to Python

⏳ 1 hour

  • Setting up the development environment.

  • Basic syntax and writing your first Python program.

Data Structures & Control Flow

⏳ 2 hours

  • Understanding and using lists, dictionaries, sets, and tuples.

  • Implementing control flow with if-else statements and loops.

Functions & Error Handling

⏳ 2 hours

  • Defining and calling functions.

  • Handling errors using try-except blocks.

Object-Oriented Programming (OOP)

⏳ 3 hours

  • Creating classes and objects.

  • Implementing inheritance and polymorphism.

Advanced Python Concepts

⏳ 3 hours

  • Exploring decorators, generators, and iterators.

  • Understanding higher-order functions.

Web Scraping & APIs

⏳ 2 hours

  • Building a web scraper using BeautifulSoup.

  • Making HTTP requests to APIs and handling JSON data.

Testing & Debugging

⏳ 2 hours

  • Applying test-driven development (TDD).

  • Utilizing debugging techniques to troubleshoot code.

File Handling & Projects

⏳ 2 hours

  • Reading from and writing to files.

  • Developing larger projects that span across multiple files.

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Job Outlook

  • High Demand for Python Skills: Python is consistently ranked as one of the most in-demand programming languages across the job market.
  • Career Opportunities: Proficiency in Python opens doors to roles such as Software Developer, Data Analyst, Web Developer, and Automation Engineer.
  • Industry Adoption: Python is widely used in industries including finance, healthcare, technology, and education.
9.7Expert Score
Highly Recommended
This course offers a comprehensive and engaging approach to learning Python, making it ideal for both beginners and those looking to strengthen their Python skills.
Value
9.2
Price
9.1
Skills
9.7
Information
9.6
PROS
  • Structured curriculum with hands-on projects.
  • Clear and engaging instruction by experienced instructors.
  • Real-world applications to reinforce learning.
  • Lifetime access to course materials.
CONS
  • Limited coverage of advanced topics such as machine learning and data science.
  • No interactive coding environment (practical sessions are offline).

Specification: The Modern Python 3 Bootcamp

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

FAQs

  • No prior programming knowledge required.
  • Covers Python syntax, variables, and control flow.
  • Introduces loops, functions, and error handling.
  • Builds confidence with hands-on exercises.
  • Suitable for beginners and career changers.
  • Master Python fundamentals and data structures.
  • Understand Object-Oriented Programming (OOP).
  • Explore advanced concepts like decorators, generators, and iterators.
  • Build web scrapers and interact with APIs.
  • Learn testing, debugging, and file handling with Python.
  • Builds a foundation for Python-related jobs.
  • Supports careers in software, web, and data industries.
  • Develops portfolio-ready projects.
  • Strengthens problem-solving and coding skills.
  • Enhances employability with a certificate of completion.
  • Self-paced online course with lifetime access.
  • Modules include Python basics, data structures, OOP, advanced concepts, web scraping, APIs, testing, and projects.
  • Hands-on exercises and real-world projects.
  • Step-by-step instructions for beginners.
  • Emphasis on practical application alongside theory.
  • Self-paced learning with lifetime access.
  • Estimated completion: 12–14 hours depending on practice.
  • Certificate awarded after course completion.
  • Certificate can be added to resumes and LinkedIn.
  • Suitable for showcasing Python proficiency professionally.
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