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Intro to Python

Level: Foundation | Type: Remote Instructor Led Series | Discipline: Data Science

Intro to Python

A five-day, fast-paced, code-intensive lecture and hands-on lab course for people with programming experience

Overview

Intended for people with at least some programming experience and based on the innovative textbook Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud (https://deitel.com/IntroToPythonContentsDiagram) by Paul Deitel and Harvey Deitel, this course provides a code-intensive introduction to Python—one of the world’s most popular and fastest-growing programming languages.

In the context of scores of real-world code examples ranging from code snippets to large scripts, attendees will write Python code using the interactive IPython interpreter, Jupyter Notebooks, Google Colab and the latest Python version. Via extensive hands-on labs, attendees quickly will become familiar with Python programming idioms, key Python Standard Library modules (collections, csv, decimal, doctest, json, math, random, sys, statistics) additional open-source libraries (matplotlib, seaborn, numpy, pandas, scipy) and an intro to data-science concepts, including simulations with static and dynamic visualizations using, pandas Series and DataFrames, data wrangling and CSV/Excel files. You’ll see how Python helps maximize your productivity via its standard libraries and abundant free open-source libraries. The course offers extensive hands-on lab coding practice. Deitel LabAssist notes provide hints for each hands-on lab, enabling you to work through many labs efficiently.

About Your Instructor

Paul Deitel, CEO and Chief Technical Officer of Deitel & Associates, Inc., is an MIT graduate with 40 years in computing. He is one of the world’s most experienced programming-languages trainers, having taught hundreds of instructor-present and virtual courses worldwide (based on his Pearson Education programming-language college textbooks and professional books) to software developers of all skill levels since 1992. He is a top author on O’Reilly Online Learning where his Python Fundamentals LiveLessons, Java Fundamentals LiveLessons and C# Fundamentals LiveLessons 50+ hour asynchronous video courses have ranked #1 eight of the last 12 years among 6,000 video products from 200+ publishers. Thousands of users have viewed his asynchronous streaming Python Fundamentals LiveLessons videos for over 10.5 million contact minutes. 10,000+ students have attended his live (synchronous), one-day, code-intensive Python Full Throttle and Python Data Science Full Throttle courses for over 2.7 million live contact minutes.

Together, he and his co-author, Dr. Harvey M. Deitel, are among the world’s best-selling programming-language textbook, professional book, video and interactive multimedia e-learning authors, having written 100+ Pearson Education/Prentice Hall college textbooks and professional books on Python, Java, C++, C, C#, Internet/Web, Android, iOS, Swift, Visual Basic and more. Their books have 100+ translations into Italian, Japanese, German, Russian, Spanish, French, Polish, Simplified Chinese, Traditional Chinese, Korean, Portuguese, Greek, Urdu and Turkish.

Deitel clients include some of the world’s largest companies, government agencies, branches of the military, and academic institutions—SLB, UCLA Anderson School of Management, Cisco, IBM, Siemens, Sun Microsystems (now Oracle), Dell, Fidelity, NASA at the Kennedy Space Center, White Sands Missile Range, the National Oceanic and Atmospheric Administration (NOAA), the National Severe Storm Laboratory, Rogue Wave Software, Boeing, Puma, iRobot and many more.


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In just few simple steps, you can customize your own learning journey in the discipline of your interest, based on your immediate, intermediate and transitional goals. Once done, you can save it in NExTpert-the digital learning ecosystem-and track your progress.

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Intended Audience

    • People with at least some programming experience who want a fast-paced, code-intensive, hands-on introduction to Python.
    • Programmers using other languages who would like to learn Python in one five-day course.
    • People who took a college-level or professional Python course or programmed in Python a while back and want to refresh and update their Python skills.
    • Programmers using a limited range of Python features who would like to see what other features are available.
    • Managers who are considering moving their teams to Python.
    • R programmers whose organizations are considering adding or switching to Python and who want a code-intensive introduction to Python.
    • People who are tight on time and would prefer to get up-to-speed in Python in one week.
    • Note: People who would feel more comfortable with a slower-paced course for non-programmers should consider the two-week course sequence Intro to Python for Non-Programmers: Parts 1 and 2.


Key Topics

    • Interactive Python coding in IPython, Jupyter Notebooks and Google Colab
    • Python scripts
    • Types, statements, strings, input/output, built-in functions
    • Control statements
    • Functions
    • Importing libraries
    • Built-In data structures: Lists, tuples, dictionaries and sets
    • Intro to static and dynamic visualization with matplotlib and seaborn
    • Functional-style programming: List comprehensions, generators, filter/map/reduce
    • High-performance array-oriented programming with numpy (one of Python’s most important open-source libraries)
    • Strings and regular expressions
    • Text-file processing, JSON serialization, CSV-file processing
    • Exception handling
    • Object-oriented programming
    • Intro to Data Science sections: Basic descriptive statistics. Measures of central tendency. Measures of dispersion. Simulation. Static and dynamic visualization. pandas Series and DataFrames. Regular expressions and data munging. Analyzing data from a CSV file. Time series and simple linear regression.

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