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Programming

Python Programming

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  • Overview

    This course introduces the student to the Python language and writing Python programs dealing with a wide variety of subject matter domains. Topics include language components, the IDLE environment, control flow constructs, strings, I/O, collections, classes, modules, and regular expressions. Skills are reinforced by hands-on lab exercises.

  • Who Should Take This Course

    PREREQUISITES

    Students should have experience in a similar programming language, such as C, Java, JavaScript, or Ruby. Prerequisite language skills include a basic understanding of datatypes, Boolean logic and control flow.

  • Why You Should Take This Course

    Upon completion of this course, the student will be able to:

    • Execute Python code in a variety of environments.
    • Use correct Python syntax in Python programs.
    • Use the Python control flow constructs correctly.
    • Write Python programs using various collection data types.
    • Write home grown Python functions.
    • Use many of the standard Python modules such as os, sys, math, and time.
    • Handle various exceptions via the Python Exception Handling model.
    • Use the io module in Python to read and write disk files.
    • Create custom classes and use existing Python classes.
    • Understand and use the object-oriented paradigm in Python programs.
    • Use the Python Regular Expression capabilities for data verification.
    • Differentiate between the proper use of Python collection classes.
    • Use advanced data structures.
    • Use Python list comprehensions.
    • Use Python generators.
    • Process JSON and XML data.
    • Perform CRUD operations on SQL Databases.
  • Schedule
  • Course Outline

    An Overview of Python 3

    · Introduction

    · Installing Python

    · Executing Python from the Command Line

    · Executing Python from an Interactive Python Shell

    · IDLE

    · Additional Editors and IDEs

    · Python Documentation

    · Getting Help

    · Python Keywords

    · Naming Conventions

    · Dynamic Types

    Basic Python Syntax

    · Basic Syntax

    · Simple Output

    · Simple Input

    · Comments

    · Numbers

    · Strings

    · String Methods

    · Sequence Operations

    · Indexing and Slicing

    · Formatting Strings

    · Conversion Functions

    Language Components

    · Indenting Requirements

    · The if Statement

    · Relational and Logical Operators

    · The while Loop

    · break and continue

    · The for Loop

    Collections

    · Introduction

    · Lists

    · Tuples

    · Sets

    · Dictionaries

    · Sorting Collections

    · Custom Sorting

    Functions

    · Introduction

    · Defining Your Own Functions

    · Parameters and Arguments

    · Function Documentation

    · Named Arguments

    · Optional Arguments

    · Passing Collections to a Function

    · Variable Number of Arguments

    · Variable Number of Keyword Arguments

    · Scope

    · Functions – “First Class Citizens”

    · map

    · filter

    · A Dictionary of Functions

    · Nested Functions

    · lambda

    · Recursion

    Modules

    · What is a Module

    · Modules

    · The dir Function

    · The sys Module

    · Numeric and Mathematical Modules

    · Time and Date Modules

    Classes in Python

    · Principles of Object Orientation

    · Defining New Data Types

    · Properties as Decorators

    · Special Methods

    · Class Variables

    · Inheritance

    · Polymorphism

    · Type Identification

    Exceptions

    · Errors and Exceptions

    · The Exception Model

    · Exception Handling

    · Exception Hierarchy

    · Raising Exceptions

    · User-Defined Exceptions

    · assert

    Input and Output

    · Introduction

    · Creating Your Own Data Streams

    · Writing to a Text File

    · Reading From a Text File

    · bytes and bytearray Objects

    · Reading and Writing Binary Files

    · Random Access

    · Working With Files and Directories

    Data Structures

    · List Comprehensions

    · Dictionary Comprehensions

    · Dictionaries with Compound Values

    · Generators

    · Generator Expressions

    · Processing Parallel Collections

    · Specialized Sorts

    Regular Expressions

    · Introduction

    · Simple Character Matches

    · Character Classes

    · Quantifiers

    · Greedy and Non-Greedy Quantifiers

    · Alternatives

    · Matching at Beginning and/or End

    · Grouping

    · Additional Functions

    · Flags

    Working with JSON and XML Data

    · Understanding JSON

    · Mapping JSON data types to Python data types

    · Reading and writing JSON data

    · Understanding http requests

    · Requesting JSON data from an API

    · Understanding XML

    · Reading and writing XML data

    · Requesting XML data from an API

    · Comparing JSON and XML

    SQL Database

    · Introduction

    · sqlite3

    · Working with Tables

    · Inserting Records

    · Selecting Records

    · Additional SQL Queries

    · Updates and Deletes

    · Table Descriptions

    · Writing Database Scripts

  • FAQs
    Is there a discount available for current students?

    UMBC students and alumni, as well as students who have previously taken a public training course with UMBC Training Centers are eligible for a 10% discount, capped at $250. Please provide a copy of your UMBC student ID or an unofficial transcript or the name of the UMBC Training Centers course you have completed. Online courses are excluded from this offer.

    What is the cancellation and refund policy?

    Student will receive a refund of paid registration fees only if UMBC Training Centers receives a notice of cancellation at least 10 business days prior to the class start date for classes or the exam date for exams.

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