Introduction to Programming- Python

Introduction to Programming: Python, available at $64.99, has an average rating of 4.75, with 39 lectures, 21 quizzes, based on 2 reviews, and has 9 subscribers.

You will learn about Programming Fundamentals Python Programming Object-Oriented Programming Introductory Software Development Computer Science Procedural Programming Explicit Typing Implicit Typing Functional Programming Imperative Programming Generic Typing Dynamic Typing This course is ideal for individuals who are Students interested in learning programming with any level of experience, but especially beginners or anyone unfamiliar with Python as well. It is particularly useful for Students interested in learning programming with any level of experience, but especially beginners or anyone unfamiliar with Python as well.

Enroll now: Introduction to Programming: Python

Summary

Title: Introduction to Programming: Python

Price: $64.99

Average Rating: 4.75

Number of Lectures: 39

Number of Quizzes: 21

Number of Published Lectures: 39

Number of Published Quizzes: 21

Number of Curriculum Items: 61

Number of Published Curriculum Objects: 61

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

Programming Fundamentals

Python Programming

Object-Oriented Programming

Introductory Software Development

Computer Science

Procedural Programming

Explicit Typing

Implicit Typing

Functional Programming

Imperative Programming

Generic Typing

Dynamic Typing

Who Should Attend

Students interested in learning programming with any level of experience, but especially beginners or anyone unfamiliar with Python as well.

Target Audiences

Students interested in learning programming with any level of experience, but especially beginners or anyone unfamiliar with Python as well.

In this course, students will learn elementary programming concepts with the Python (3) language, with an additional section studying Java and the relation between the two languages. Learning Python will allow students to develop the basic skills for functional and object-oriented programming and the fundamentals of polymorphism and imperative programming, as well as a short study on regular expressions. Students can use this knowledge to take on learning other higher-level languages such as C++, Swift, and C# (as well as scripting and scientific languages such as Octave, R, Julia, and Ruby) in an accelerated manner. The class will focus on building programming skills from fundamental keywords to high-level abstraction, in hopes that the student will then continue on to learn a high-level programming language afterward.

Students will learn the following aspects of programming using the Python language:

Section 1:

-Introduction, how to succeed in the course, setup

-What is Python, understanding programming

-Hello World and ‘__main__’

-Input and Output, Commenting and Docstrings

-Data Types, Arithmetic and Assignment Operators, Numerical Operations

-Strings and String Operations, ASCII

-String Formatting

-Type Conversion, In-Place and Walrus Operators

Section 2:

-PEP and The Zen of Python

-Boolean Expressions and Conditional Statements

-Chained and Nested Conditions

-Logic Operators

-Loops: for, while, ‘range’, ‘in’

-Functions

-Recursion

-The Standard Library and pip

Section 3:

-Lists and List Functions

-List Slices and Matrices

-Dictionaries and Dictionary Functions

-Tuples and Tuple Unpacking

-The ‘itertools’ Library

-Sets and Set Functions

Section 4:

-Random Numbers, Math and Data Science Functions

-Exceptions and Raising Exceptions

-Exception Handling, ‘finally’

-Assertions

-File I/O

-List Comprehensions and Ternary Operator

Section 5 – Regular Expressions:

-Character Matching

-Data Extraction, Combining Searching and Extracting

-The Escape Character and grep

Section 6 – Objected-Oriented Programming:

-Classes

-Properties and Modules

-Data Hiding and Dunder/Magic Methods

-Inheritance

-Class Methods and Static Methods

-Making a basic GUI with Tkinter

Section 7 – Functional Programming:

-Intro to Functional Programming, First-Class Functions

-Anonymous Functions and Lambda Expressions

-Iterators, Generators, and Decorators

-Higher-Order Functions, ‘map’ and ‘filter’

-Using ‘reduce’

-Advanced Function Arguments (‘*args’, ‘**kwargs’)

Section 8 – Capstone:

-Final exam

-Capstone project

Optional textbooks:

-“Practical Programming: An Introduction to Computer Science Using Python 3” by Paul Gries, Jennifer Campbell, and Jason Montojo (Various prices by format and rental, very cheap on Amazon)

-“Python for Everybody: Exploring Data in Python 3” by Charles Severance (Various prices by format and rental, very cheap on Amazon)

-“Python Crash Course, 2nd Edition: A Hands-On, Project-Based Introduction to Programming, 2nd Edition” by Eric Matthes (Various prices by format)

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction, how to succeed in the course, setup

Lecture 2: What is Python, understanding programming, Hello World, and __main__

Lecture 3: Input and Output, Commenting and Docstrings

Lecture 4: Data Types, Arithmetic and Assignment Operators, Numerical Operations

Lecture 5: Strings and String Operations, ASCII, String Formatting

Lecture 6: Type Conversion, In-Place and Walrus Operators

Chapter 2: Logic, Loops, Functions

Lecture 1: PEP and The Zen of Python

Lecture 2: Boolean?Expressions and Conditional?Statements

Lecture 3: Chained and Nested Conditions, Logic Operators

Lecture 4: Loops: for, while, range, in

Lecture 5: Functions and Recursion

Lecture 6: The Standard Library and pip

Chapter 3: Lists, Dictionaries, Tuples, Arrays

Lecture 1: Lists and List Functions

Lecture 2: List Slices and Matrices

Lecture 3: Dictionaries and Dictionary?Functions

Lecture 4: Tuples and Tuple Unpacking

Lecture 5: The itertools Library

Lecture 6: Sets and Set Functions

Chapter 4: Random, Math and Data Science, Exceptions, Assertions, File I/O, Comprehensions

Lecture 1: Random Numbers, Math and Data Science Functions

Lecture 2: Exceptions and?Raising Exceptions

Lecture 3: Exception Handling, finally

Lecture 4: Assertions

Lecture 5: File I/O

Lecture 6: List Comprehensions and Ternary?Operator

Chapter 5: Regular Expressions

Lecture 1: Character Matching

Lecture 2: Data Extraction, Combining Searching and?Extracting

Lecture 3: The Escape Character and grep

Chapter 6: Object-Oriented Programming

Lecture 1: Classes

Lecture 2: Properties and Modules

Lecture 3: Data?Hiding and Dunder/Magic Methods

Lecture 4: Inheritance

Lecture 5: Class Methods and Static?Methods

Lecture 6: Making a basic GUI with Tkinter

Chapter 7: Functional Programming

Lecture 1: Intro to Functional Programming, First-Class Functions

Lecture 2: Anonymous Functions and Lambda Expressions

Lecture 3: Iterators, Generators, and?Decorators

Lecture 4: Higher-Order Functions, map and filter

Lecture 5: Using reduce

Lecture 6: Advanced Function Arguments (*args, **kwargs)

Chapter 8: Capstone

Instructors

Daniel Szelogowski, Ph.D.
Computer Scientist, Choral Music Educator, Vocal Pedagogue

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5 stars: 1 votes

Frequently Asked Questions

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