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Introduction to Python 3

Price
2,340 USD
4 Days
PLPJ-145
Classroom Training, Online Training
Open Source

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  • Date: 3-Mar-2025 to 6-Mar-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 2,340 USD
  • Date: 28-Apr-2025 to 1-May-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 2,340 USD
  • Date: 23-Jun-2025 to 26-Jun-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 2,340 USD
  • Date: 18-Aug-2025 to 21-Aug-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 2,340 USD
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Course Description

Overview

This four day course leads the student from the basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting. This is a hands-on programming class. All concepts are reinforced by informal practice during the lecture followed by graduated lab exercises. Python Programming is a practical introduction to a working programming language, not an academic overview of syntax and grammar. Students will immediately be able to use Python to complete tasks in the real world.
 

Objectives


 

Audience

Users who want to learn Python and use it for application development, system administration, or just to automate tasks in a simple, yet powerful way
 

Prerequisites

    • Working/user level knowledge of an operating system such as Linux, Windows, or MacOS
    • Basic skill with at least one other programming language is desirable

Topics

About this Course
  • Welcome
  • Classroom etiquette
  • Course outline
  • Student files
  • Extracting the student files
  • Examples
  • Lab exercises
  • Appendices
Chapter 1: An Overview of Python
  • What is Python?
  • The Birth of Python
  • Python Timeline
  • About Interpreted Languages
  • Advantages of Python
  • Disadvantages of Python
  • How to Get Python
  • Which version of Python?
  • The end of Python 2
  • Getting Help
  • One day on Dagobah
Chapter 2: The Python Environment
  • Starting Python
  • If the Interpreter is Not in Your PATH
  • Using the Interpreter
  • Trying Out a Few Commands
  • Running Python Scripts
  • Using pydoc
  • Python Editors and IDEs
Chapter 3: Getting Started
  • Using Variables
  • Keywords and Builtins
  • Variable Typing
  • Strings
  • Single-delimited String Literals
  • Triple-delimited String Literals
  • Raw String Literals
  • Unicode Characters
  • String Operators and Methods
  • String Methods
  • Numeric literals
  • Math Operators and Expressions
  • Converting Among Types
  • Writing to the Screen
  • String Formatting
  • Command Line Parameters
  • Reading From the Keyboard
Chapter 4: Flow Control
  • About Flow Control
  • What's with the White Space
  • If and Elif
  • Conditional Expressions
  • Relational Operators
  • Boolean Operators
  • While Loops
  • Alternate Ways to Exit a Loop
Chapter 5: Array Types
  • About Array Types
  • Lists
  • Indexing and slicing
  • Tuples
  • Iterable Unpacking
  • Nested Sequences
  • Functions for all sequences
  • Using enumerate()
  • Operators and keywords for sequences
  • The range() function
  • List comprehensions
  • Generator Expressions
Chapter 6: Working with files
  • Text File I/O
  • Opening a Text File
  • The With Block
  • Reading a Text File
  • Writing to a Text File
Chapter 7: Dictionaries and Sets
  • About Dictionaries
  • When to Use Dictionaries?
  • Creating Dictionaries
  • Getting Dictionary Values
  • Iterating Through a Dictionary
  • Reading File Data into a Dictionary
  • Counting with Dictionaries
  • About Sets
  • Creating Sets
  • Working with Sets
Chapter 8: Functions
  • Defining a Function
  • Returning Values
  • Function Parameters
  • Variable Scope
Chapter 9: Sorting
  • Sorting Overview
  • The Sorted() Function
  • Custom sort keys
  • Lambda Functions
  • Sorting Nested Data
  • Sorting Dictionaries
  • Sorting in Reverse
  • Sorting Lists in Place
Chapter 10: Errors and Exception Handling
  • Syntax errors
  • Exceptions
  • Handling exceptions with try
  • Handling multiple exceptions
  • Handling generic exceptions
  • Ignoring exceptions
  • Using else
  • Cleaning up with finally
Chapter 11: Using Modules
  • What is a module?
  • Creating Modules
  • The import statement
  • Where did _pycache_ come from?
  • Module search path
  • Packages
  • Example
  • Module Aliases
  • When the batteries aren't included
Chapter 12: Regular Expressions
  • Regular Expressions
  • RE Syntax Overview
  • Finding matches
  • RE Objects
  • Compilation Flags
  • Groups
  • Special Groups
  • Replacing text
  • Replacing with a callback
  • Splitting a string
Chapter 13: Using the Standard Library
  • The Sys Module
  • Interpreter Information
  • STDIO
  • Launching External Programs
  • Paths, Directories, and Filenames
  • Walking Directory Trees
  • Grabbing data from the web
  • Sending E-Mail
  • Math Functions
  • Random Values
  • Dates And Times
  • Zipped Archives
Chapter 14: An Introduction to Python Classes
  • About O-O Programming
  • Defining Classes
  • Constructors
  • Instance Methods
  • Properties
  • Class Methods and Data
  • Static Methods
  • Private Methods
  • Inheritance
  • Untangling the Nomenclature
Appendix A: Where do I go from here?
  • Resources for learning Python
Appendix B: Python Bibliography Appendix C: String Formatting
  • Overview
  • Parameter Selectors
  • Data types
  • Field widths
  • Alignment
  • Fill characters
  • Signed numbers
  • Parameter Attributes
  • Formatting Dates
  • Run-time formatting
  • Miscellaneous tips and Tricks
Index
 
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