Python Training

  4.7 out of 5 based on 327 Ratings

Looking for Python training with an expert live instructor? We have trained 62,586 students from 11,834 organizations. Where? Webucator's private Python classes can be delivered at your office anywhere in the world or online with a live instructor. Our public Python classes run monthly.

Webucator is a proud sponsor of the Python Software Foundation. Widely used within the computer science and IT industry, the Python programming language is a multi-purpose language that can be used to build quick and simple programs as well as sophisticated programs to automate large and complex tasks. Data scientists use the Python language for complex data analysis. Python can be used to manage virtualization projects, build web APIs, and develop websites.

Webucator offers onsite and live online Python programming courses with expert instructors for those new to learning Python and those who are looking to become advanced Python developers.

Introduction to Python Training

- $2,300.00

If you are new to learning Python, this introductory course will quickly teach you the essentials of Python programming. In this Python training course, you will be writing Python programs quickly. You will learn important Python data structures including lists, tuples, dictionaries, strings, and sets. You will get hands-on flow control, file processing, exception handling, regular expressions, Python packages, Python scripts, and much more. By the end of this Python class, you will have real world skills to use in the workplace. This class is a great fit for data scientists, web developers, software development teams, machine learning engineers, and anyone else who wants to get started with Python. Sign up for our instructor-led online courses, or schedule an in-person classroom session for your team.

Next Live Class:

Advanced Python Training

- $1,150.00

Already know the basics of Python and now looking for advanced Python training? This is the course takes you to the next level. You will learn about mapping and filtering, lambda functions, advanced sorting, databases and external files, object-oriented Python, testing, and debugging. Enroll in our next online training course, or schedule an onsite classroom session for your group.

Next Live Class:

Rapid Introduction to Python for Programmers

Choose this Python class if your team has experience with other object-oriented programming languages like JavaScript or , and you want a fast introduction to Python. The goal of this Python course is to cover a lot of content in a short period of time. While you may be able to follow along with your Python trainer during the many demos, there will not be much time allotted to hands-on labs.

Rapid Introduction to Python for Novices

Choose this Python class if your team is relatively new to programming and you don't have the time or resources to take our longer Introduction to Python class. The goal of this Python course is to get you up and running with Python quickly.

Python Data Analysis with NumPy and pandas

- $1,150.00

If you or your team are using or plan to use Python for data science or data analytics, then this is the right Python course for you. The course assumes that you already have had a good amount of Python training and/or experience. Your live instructor will start the class by teaching you how to use Jupyter Notebook, a great tool for writing, testing, and sharing quick Python programs. Even if you do not end up using Jupyter Notebook as your main Python IDE, you will appreciate having it as a tool in your Python toolkit.

You will learn NumPy, which makes working with arrays and matrices (in place of lists and lists of lists) much more efficient, and pandas, which makes manipulating, munging, slicing, and grouping data much easier. You will also learn some simple data visualization techniques with matplotlib.

Next Live Class:

Beginning Application Development with TensorFlow and Keras

Dive into Python for data science and machine learning in this Python training course. Your instructor will explain data types from a machine learning perspective. You will get hands-on with TensorFlow, the popular Machine learning software from Google, and you will use Keras as a TensorFlow interface. Contact us to schedule an onsite classroom session or an online training for your group today!

Django Boot Camp Training

If you or your team need to create and deploy database-oriented web applications, then Django is a great option for you and this course will provide you with the Django skills you need to get started quickly. If you have experience building data-driven websites using other technologies, you will be pleasantly surprised at how easy Django makes structuring, retrieving, and managing data. The course assumes knowledge of Python and HTML. Experience with SQL, while not required, would also be beneficial.

5-min Narrated Presentation on Python

  • History and Purpose of Python
  • Common Uses of Python
  • How Hard is it to Learn?
  • The Good and the Bad
  • The Future of Python
  • The Basic Syntax of Python

History of Python

  • Python first appeared in 1991
  • Popular and getting more popular
  • Python 3 released in 2008
  • Python 2 still popular

Python is Multi-Purpose

  • Single-use quick and simple programs
  • Automate large and complex tasks

Sample Uses of Python

Python Difficulty Level

  • High-level programming language like C#, Objective-C, Java, PHP, and JavaScript
  • Python is human readable
  • Python is not C-like
  • Commonly used in Introduction to Programming courses

Learning Python

  • Experienced programmers can get up to speed quickly
  • Good language for new programmers too
  • Fantastic documentation:
  • New Python learners should learn Python 3

Python: The Good

  • Relatively easy to learn
  • Cross-platform
  • Good documentation
  • Great community support

Python: The Bad

  • Different syntax from other popular languages

Python: The Future


  • Words over punctuation marks
  • Whitespace instead of curly brackets
  • Nested blocks are indented
  • By convention
    1. Lowercase variables and function names
    2. UpperCamelCase class names

Declaring Variables

  • foo = 'Hello, world'
    bar = 5
    foo_bar = 4.9


  • #Single-line comments are preceded by hash mark

Common Data Types: Strings

  • a = 'foo'
  • b = "bar"

Common Data Types: Integers and Floats

  • year = 2017
  • weight = 4.9

Common Data Types: Booleans

  • cool = True
  • dead = False

Common Data Types: Lists

  • fruit = ['apple', 'banana', 'pear']

Common Data Types: Tuples

  • triangle = (5, 8, 10)

Common Data Types: Dictionaries

  • grades = {
        'Global Studies':85,


  • if some_thing or other_thing:
    elif this_thing and that_thing:


  • while some_thing or other_thing:
        if exhausted:
    for grade in grades:


  • def say(word, n):
        for i in range(n):
    say('Hello', 5) #say hello five times

Keep Learning Python

with a Webucator Python class

"Roger was extremely knowledgeable and with a great temperament to teach, even to students with different levels of experience with programming. The pace, the examples, the extremely useful material that will serve as a critical reference for me."

What people say about our training

Great way to get acquainted with the world of Python.
Chauncey Willard
Very well done.
Navdeep Nagpal
Citizens Property Insurance
I was hoping for a bootcamp to learn the basics of Python, and that's exactly what we got. Great job!
LaToya Moseley
Recommend. Gets to the nuts and bolts of Python. Good introductory course.
Kristina Murphy

No cancelation for low enrollment

Certified Microsoft Partner

Registered Education Provider (R.E.P.)

GSA schedule pricing


Students who have taken Instructor-led Training


Organizations who trust Webucator for their Instructor-led training needs


Satisfaction guarantee and retake option


Students rated our Python trainers 9.41 out of 10 based on 327 reviews

Contact Us or call 1-877-932-8228