Introduction to Python Programming

Class description

This is an instructor-led course to introduce you to the Python programming language. Python is one of the most popular programming languages used in industries ranging from gaming to finance. Python is an interpreted, object-oriented high-level programming language, which has recently become a popular tool in industry and in academia.

Python is free to use, easy to install and learn and its open source. In this course, you will learn to create programs, functions, complex data structures and to collect user input with Python. Furthermore, you will learn to read and write from external sources such as files and databases By learning these concepts, students will have a starting point to learn a few of the many ways that Python is utilized from basic reporting to complex machine learning solutions and much more.

Uses of the Python Programming Language

The Python programming language is used by business analysts, software developers to analyze data and to create captivating yet insightful data visualizations
The Python programming language can be used for developing both desktop, web and mobile applications.
Python can be used for creating Windows, UNIX and Mac applications, from simple console and web-based to
elaborate graphic interfaces for video games.
Also, you can use Python for developing complex scientific and numeric applications for Machine Learning, Robotics and Finance

Course objectives

Introduce students to the basics of Python.
Provide students with the hands-on Python programming building block skills needed to develop applications
Create working Python scripts following best practices
Use python data types appropriately
Read and write files with both text and binary data
Search and replace text with regular expressions
Get familiar with the standard library and its work-saving modules
Create "real-world", basic level professional Python applications
Know when to use collections such as lists, dictionaries, and sets
Understand Pythonic features such as comprehensions and iterators
Write robust code using exception handling

Course Format

This course is a 50% hands-on labs to 50% lecture ratio with engaging instruction, demos, group discussions,

labs, and project work including a capstone assignment.

Class Schedule Details

Course Dates : May Session :May 3, 2022 to June 7, 2022

June Session: June 14, 2021 to July 18, 2022

Next Session Registration closes : April 30, 2022

Course Length : 4 weeks (Excluding holiday breaks)

Effort: 8-12 hours per week, Self paced learning

Class schedule: Every Tuesday & Thursday at 8pm EST (5pm PDT)

Lecture Duration: 1 hour per session, live over zoom

Class Syllabus

See below for a listing of the topics covered in the Introduction to Python class

Module 1

Course introduction and overview of the Python Programming
Overview of real-world applications utilizing the Python Programming Language
Installing The Python Development Environment & Tools
Using and understanding Command line parameters with Python

Module 2

Using variables and understanding the various data types in Python
Using Python Operators, string functions, assignment operators & logical expressions
Using and understanding Python built-in functions
Functions and Functional Programming with User defined functions
Python conditionals and looping constructs

Module 3

Getting user input from the keyboard
Using and understanding Command line parameters with Python
Flow controls Loops and Iterations
Creating User defined functions
Understanding Python native data structures Sets , Lists , Dictionaries

Module 4

Explore Array types and sequences in Python
Sequence functions, keywords, and operators
Work with list Indexing and slicing
Sorting, Sorting collection and Lambda function

Module 5

Exception Handling with Python
File Management with Python file handling (I/O)
Command Line execution with Python

Module 6

Importing modules and packages into Python
Arithmetic Operators & Built in math functions
Creating modules for sharing and reuse
Function and Module aliases

Module 7

Intro to Data science with the Numpy module
Intro to ETL methods with the Pandas module
Intro to Data Visualization with the Matplotlib module

Module 8

Learn SQL Basics
Learn Python techniques for working with databases

Module 9

Work with Python Dates and Time operations
Introduction to programming algorithms with Python
Searching and Sorting using regular expressions
Learn Python Exception handling techniques

Module 10

Introduction to object-oriented programming
Object-oriented programming
Defining classes
Constructors
Methods
Instance data
Properties
Class methods and data

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