Python Training

  4.7 out of 5 based on 331 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 3 Training

- $2,300.00

In this Python training course, students learn to program in Python. The course is aimed at students new to the language who may or may not have experience with other programming languages. The course was written using Python 3.8, but is relevant for all students using Python 3.

Next Live Class:

Advanced Python 3 Training

- $1,725.00

This Advanced Python training course picks up where our Introduction to Python course leaves off. This course is for students who have taken the introductory course and are ready to learn more and for students who have some experience programming with Python and are ready to go to the next level. The course was written using Python 3.8, but is relevant for all students using Python 3.

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Python Data Analysis with NumPy and pandas

- $1,150.00

Learn to use Python for data science or data analytics in this interactive live class. The course moves quickly and assumes that you already have Python experience. Your live instructor will guide you through essential tools like Jupyter Notebook. Then, you will use NumPy to work more efficiently with arrays pandas to easily manipulate, munge, slice, and group data. Finally, You class wraps up with simple data visualization techniques using matplotlib.

Next Live Class:

Python: Advanced Topics

This Python training course builds on introductory-level knowledge of Python and goes further: classes are covered in greater detail, with new coverage of OS services, date/time management, binary data, unit testing, database connectivity, network programming, and more.

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!

Python Training for Scientists and Engineers

This Python class teaches scientists and engineers to use Python for scientific and mathematical computing. Starting with the basics, it progresses to the most important Python modules for working with data, from arrays, to statistics, to plotting results.

This is a hands-on programming class. All concepts are reinforced with informal practice during the lecture followed by lab exercises.

Django Boot Camp Training

This Django Boot Camp class teaches existing Python developers how to develop full-stack Web applications using the Django framework.

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: docs.python.org
  • 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

Syntax

  • 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

Comments

  • #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 = {
        'English':97,
        'Math':93,
        'Global Studies':85,
        'Art':74,
        'Music':86}
    }

Conditions

  • if some_thing or other_thing:
        run_fast()
    elif this_thing and that_thing:
        walk_slow()
    else:
        eat_turkey()

Loops

  • while some_thing or other_thing:
        keep_doing_this()
        if exhausted:
            break
    
    for grade in grades:
        print(grade)

Functions

  • def say(word, n):
        for i in range(n):
            print(word
    
    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

Really nice training! it will be really useful for our future!
Olivier Delaporte
Societe Generale
Our instructor was both highly skilled and engaging. Excellent instruction combined with material that both summarized the lecture and offered a solid reference. This was easily the best course I've taken in years.
Rob Walker
T. Rowe Price
The customizations made to the course before hand and the instructor's ability to modify the class during training ensured that the needs of the students were met.
Dale Kovacs
USCG-ECity ISD
Top notch Instruction!
Scott Woodburn
Disney

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Registered Education Provider (R.E.P.)

GSA schedule pricing

64,439

Students who have taken Instructor-led Training

11,983

Organizations who trust Webucator for their Instructor-led training needs

100%

Satisfaction guarantee and retake option

9.41

Students rated our Python trainers 9.41 out of 10 based on 331 reviews

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