Introduction to Python

Instructor‑Led: $1,795 | Duration: 3 Days

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3/2/2026 3/4/2026
9:00AM - 5:00PM
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4/1/2026 4/3/2026
9:00AM - 5:00PM
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5/4/2026 5/6/2026
9:00AM - 5:00PM
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6/15/2026 6/17/2026
9:00AM - 5:00PM
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7/13/2026 7/15/2026
9:00AM - 5:00PM
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$1,795
START DATE : 3/2/2026
END DATE : 3/4/2026
CLASS TIMES (EST) : 9:00AM - 5:00PM
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STATUS :
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PRICE : $1,795
START DATE : 4/1/2026
END DATE : 4/3/2026
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STATUS :
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Guaranteed-to-Run

PRICE : $1,795
START DATE : 5/4/2026
END DATE : 5/6/2026
CLASS TIMES (EST) : 9:00AM - 5:00PM
DELIVERY/LOCATION :
STATUS :
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Guaranteed-to-Run

PRICE : $1,795
START DATE : 6/15/2026
END DATE : 6/17/2026
CLASS TIMES (EST) : 9:00AM - 5:00PM
DELIVERY/LOCATION :
STATUS :
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Guaranteed-to-Run

PRICE : $1,795
START DATE : 7/13/2026
END DATE : 7/15/2026
CLASS TIMES (EST) : 9:00AM - 5:00PM
DELIVERY/LOCATION :
STATUS :
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Guaranteed-to-Run

PRICE : $1,795

Course Highlights

LEVEL: 
  • Beginner
TOPICS & JOB ROLES: 
BRANDS/TECHNOLOGIES: 

Introduction to Python Course Outline

The Introduction to Python course is designed for beginners with no prior programming experience. Participants will learn the fundamentals of Python, including syntax, data types, and control structures, while gaining hands-on experience with Jupyter Notebook and .py files. The course also introduces GUI creation within Jupyter Notebook. By the end, students will have the skills to write Python programs and develop simple applications.

Python is widely used across industries for automation, web development, data science, and machine learning. This live, instructor-led course provides a structured, practical approach to learning Python, making it accessible for both new programmers and those transitioning from other languages.

Note: Available in three full-day or five partial-day sessions. Check the schedule for options.

Who Should Attend this Course?

This course is ideal for both new programmers and experienced developers seeking to add Python to their skillset.

Lesson 1: Introduction to Python Programming

  • What is Python?

  • Setting up the Python environment

  • Writing and executing Python scripts

  • Introduction to Jupyter Notebook

Lesson 2: Python Basics

  • Understanding Python syntax

  • Working with variables and data types

  • Input and output operations

Lesson 3: Control Structures

  • Conditional statements (if, else, elif)

  • Looping constructs (for, while)

  • Error handling and debugging

Lesson 4: Working with Data Structures

  • Lists, tuples, and sets

  • Dictionary operations

  • String manipulation

Lesson 5: Functions and Modular Programming

  • Defining and calling functions

  • Using parameters and return values

  • Writing modular, reusable code

Lesson 6: Working with Files

  • Reading from and writing to files

  • File handling best practices

Lesson 7: GUI Development in Python

  • Creating simple graphical user interfaces in Jupyter Notebook

  • Introduction to libraries for GUI design

Lesson 8: Putting It All Together

  • Developing a final project using the concepts learned

  • Best practices for Python programming

Hands-On Labs

Throughout the course, participants will complete hands-on labs, including:

  • Writing basic Python scripts in Jupyter Notebook.

  • Creating and manipulating data structures.

  • Building simple GUI applications.

  • Developing a mini-project as a capstone activity.

Related Job Roles

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