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Python 3 Essentials

Python 3 Essentials

  • 30 Day Money Back Guarantee
  • Completion Certificate
  • 24/7 Technical Support

Highlights

  • Delivered Online

  • 5 days

  • All levels

Description

Duration

5 Days

30 CPD hours

This course is intended for

Experienced Programmers and Systems Administrators.

Overview

Throughout the course students will be led through a series of progressively advanced topics, where each topic consists of lecture, group discussion, comprehensive hands-on lab exercises, and lab review. This course is ?skills-centric?, designed to train attendees in core Python and web development skills beyond an intermediate level, coupling the most current, effective techniques with best practices. Working within in an engaging, hands-on learning environment, guided by our expert Python practitioner, students will learn to:
? 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
? Use lesser-known but powerful Python data types
? Create 'real-world', professional Python applications
? Work with dates, times, and calendars
? 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

An introductory and beyond-level practical, hands-on Python training course that leads the student from the basics of writing and running Python scripts to more advanced features.

An Overview of Python

  • What is python?
    1 -- An overview of Python
    What is python?
    Python Timeline
    Advantages/Disadvantages of Python
    Getting help with pydoc

The Python Environment

  • Starting Python
    Using the interpreter
    Running a Python script
    Python scripts on Unix/Windows
    Editors and IDEs

Getting Started

  • Using variables
    Built-in functions
    Strings
    Numbers
    Converting among types
    Writing to the screen
    Command line parameters

Flow Control

  • About flow control
    White space
    Conditional expressions
    Relational and Boolean operators
    While loops
    Alternate loop exits

Sequences

  • About sequences
    Lists and list methods
    Tuples
    Indexing and slicing
    Iterating through a sequence
    Sequence functions, keywords, and operators
    List comprehensions
    Generator Expressions
    Nested sequences

Working with files

  • File overview
    Opening a text file
    Reading a text file
    Writing to a text file
    Reading and writing raw (binary) data
    Converting binary data with struct

Dictionaries and Sets

  • About dictionaries
    Creating dictionaries
    Iterating through a dictionary
    About sets
    Creating sets
    Working with sets

Functions

  • Defining functions
    Parameters
    Global and local scope
    Nested functions
    Returning values

Sorting

  • The sorted() function
    Alternate keys
    Lambda functions
    Sorting collections
    Using operator.itemgetter()
    Reverse sorting

Errors and Exception Handling

  • Syntax errors
    Exceptions
    Using try/catch/else/finally
    Handling multiple exceptions
    Ignoring exceptions

Modules and Packages

  • The import statement
    Module search path
    Creating Modules
    Using packages
    Function and Module aliases

Classes

  • About o-o programming
    Defining classes
    Constructors
    Methods
    Instance data
    Properties
    Class methods and data

Regular Expressions

  • RE syntax overview
    RE Objects
    Searching and matching
    Compilation flags
    Groups and special groups
    Replacing text
    Splitting strings

The standard library

  • The sys module
    Launching external programs
    Math functions
    Random numbers
    The string module
    Reading CSV data

Dates and times

  • Working with dates and times
    Translating timestamps
    Parsing dates from text
    Formatting dates
    Calendar data

Working with the file system

  • Paths, directories, and filenames
    Checking for existence
    Permissions and other file attributes
    Walking directory trees
    Creating filters with fileinput
    Using shutil for file operations
    17 ? Advanced data handling
    Defaultdict and Counter
    Prettyprinting data structures
    Compressed archives (zip, gzip, tar, etc.)
    Persistent data

Advanced data handling

  • Defaultdict and Counter
    Prettyprinting data structures
    Compressed archives (zip, gzip, tar, etc.)
    Persistent data

Network services

  • Grabbing web content
    Sending email
    Using SSH for remote access
    Using FTP

Writing real-life applications

  • Parsing command-line options
    Detecting the current platform
    Trapping signals
    Implementing logging
    Python Timeline
    Advantages/Disadvantages of Python
    Getting help with pydoc

About The Provider

Nexus Human, established over 20 years ago, stands as a pillar of excellence in the realm of IT and Business Skills Training and education in Ireland and the UK....

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