Python Training

  4.7 out of 5 based on 211 Ratings

Whether you're looking for customized in-person Python training for a private group or a public online Python class you can join, Webucator has the solution for you.

Webucator is a proud sponsor of the Python Software Foundation. Python 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. It is also used to perform complex data analysis, to manage virtualization projects and to build web APIs and websites. Webucator offers a number of Python courses for those new to Python and for those who are looking to become advanced Python developers.

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Introduction to Python Training

- $1,900.00

If you or your team are just getting started with Python, then this is the right Python course for you. If you are brand new to programming, Python is a great place to start. It is relatively simple to learn the basics, so you will be writing Python programs quickly and by the end of this Python class, you will have skills that you will be able to put to use quickly. If you have experience with other programming languages, such as Java, JavaScript, or C++, you will find much that is similar in Python, but you will also find some differences that will seem strange to you at first. We expect that you will find it relatively easy to adjust to and eventually appreciate Python's differences.

Next Live Class:

Advanced Python Training

- $1,425.00

Already know the basics of Python and now looking for advanced Python training? This is the course you need. 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. Further, you will learn to use mapping and filtering and lambda functions, to do advanced sorting, to work with Python's regular expression library, to work with databases and external files, to write object-oriented Python, and to test and debug your Python programs.

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Rapid Introduction to Python for Programmers

Choose this Python class if your team has plenty of programming experience in other languages, such or Java or C#, 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; however, because a lot of content is covered in a short period of time, less time is dedicated to hands-on exercises than in our regular Python classes.

Python Data Analysis with NumPy and pandas

- $1,050.00

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. 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:

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: 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."

Recommend. Gets to the nuts and bolts of Python. Good introductory course.

Kristina Murphy, Leidos
Frederick MD

This is a great course. It provides a thorough grounding in the Python language to serve as a foundation for future learning and experience.

Daniel Stutzman, School of Art Institute of Chicago
Chicago IL

It was literally the best Python course I have ever been to.

Tony Burrous, Disney

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
Elizabeth City NC

No cancelation for low enrollment

Certified Microsoft Partner

Registered Education Provider (R.E.P.)

GSA schedule pricing

59,947

Students who have taken Instructor-led Training

11,617

Organizations who trust Webucator for their Instructor-led training needs

100%

Satisfaction guarantee and retake option

9.40

Students rated our Python trainers 9.40 out of 10 based on 211 reviews

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