Next-Level Python Programming (With Advanced Python Topics) Training

Category

Python

Rating
4.5
(4.5)
Price

$2395
Per Participant

Course Description

The Next-Level Python Programming course focuses on enterprise development and offers advanced Python topics and skills. In this course, professionals will learn how to create modules, run unit tests, leverage OS services, query databases, define classes, code graphical application interfaces, interact with network series, and process XML data. Acquiring the course will help professionals to develop an in-depth exploration of working with the programming language for enterprise development. By learning this course, professionals will use Python to complete advanced tasks in the real world. Further, this course will help professionals to grow in their careers as programming is more advanced.

Prerequisites for this training

Who should attend this course?

This is an intermediate and beyond-level Python course geared for students experienced with Python who want to use Python in web development projects or automate or simplify common tasks with the use of Python scripts.

Schedules

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For dates, times, and location customization of this course, get in touch with us.

You can also speak with a learning consultant by calling 800-961-0337.

What you will learn

  • Leveraging OS services
  • Enhancements to classes
  • Code graphical interfaces for applications
  • Advanced Python metaprogramming concepts
  • Easy-to-use and easy-to-maintain modules and packages
  • Implementing and run unit tests
  • Creating multithreaded and multi-process applications
  • Interacting with network services
  • Designing professional scripts
  • Querying databases
  • Processing XML, CSV, and JSON data
  • This course has a 50% hands-on labs to 50% lecture ratio with engaging instruction, demos, group discussions, labs, and project work.

Curriculum

  • Builtin data types
  • Lists and tuples
  • Dictionaries and sets
  • Program structure
  • Files and console I/O
  • If statement
  • for and while loops
  • The os and os.path modules
  • Environment variables
  • Launching external commands with subprocess
  • Walking directory trees
  • Paths, directories, and filenames
  • Working with file systems
  • Basic date and time classes
  • Different time formats
  • Converting between formats
  • Formatting dates and times
  • Parsing date/time information
  • What is Binary Data
  • Binary vs text
  • Using the Struct module
  • The Zen of Python
  • Tuples
  • Advanced unpacking
  • Sorting
  • Lambda functions
  • List comprehensions
  • Generator expressions
  • String formatting
  • Four types of function parameters
  • Four levels of name scoping
  • Single/multi dispatch
  • Relative imports
  • Using __init__ effectively
  • Documentation best practices
  • Class/static data and methods
  • Inheritance (or composition)
  • Abstract base classes
  • Implementing protocols (context, iterator, etc.) with special methods
  • Implicit properties
  • globals() and locals()
  • Working with object attributes
  • The inspect module
  • Callable classes
  • Decorators
  • Monkey patching
  • Analyzing programs with pylint
  • Using the debugger
  • Profiling code
  • Testing speed with benchmarking
  • What is a unit test
  • Writing tests
  • Working with fixtures
  • Test runners
  • Mocking resources
  • The DB API
  • Available Interfaces
  • Connecting to a server
  • Creating and executing a cursor
  • Fetching data
  • Parameterized statements
  • Using Metadata
  • Transaction control
  • ORMs and NoSQL overview
  • Overview
  • Qt Architecture
  • Using designer
  • Standard widgets
  • Event handling
  • Extras
  • Built-in classes
  • Using requests
  • Grabbing web pages
  • Sending email
  • Working with binary data
  • Consuming RESTful services
  • Remote access (SSH)
  • The threading module
  • Sharing variables
  • The queue module
  • The multiprocessing module
  • Creating pools
  • About async programming
  • Running external programs
  • Parsing arguments
  • Creating filters to read text files
  • Logging
  • Working with XML
  • XML modules in Python
  • Getting started with ElementTree
  • Parsing XML
  • Updating an XML tree
  • Creating a new document
  • About JSON
  • Reading JSON
  • Writing JSON
  • Reading/writing CSV files
  • YAML, other formats as time permits
  • Time Permitting Sessions
  • Discover the collections module
  • Use defaultdict, Counter, and namedtuple
  • Create dataclasses
  • Store data offline with pickle
  • Annotate variables
  • Learn what type hinting does NOT do
  • Use the typing module for detailed type hints
  • Understand union and optional types
  • Write stub interfaces
  • With Microtek Learning, you’ll receive:

    • Certified Instructor-led training
    • Industry Best Trainers
    • Official Training Course Student Handbook
    • Pre and Post assessments/evaluations
    • Collaboration with classmates (not available for a self-paced course)
    • Real-world knowledge activities and scenarios
    • Exam scheduling support*
    • Learn and earn program*
    • Practice Tests
    • Knowledge acquisition and exam-oriented
    • Interactive online course.
    • Support from an approved expert
    • For Government and Private pricing*

    * For more details call: +1-800-961-0337 or Email: info@microteklearning.com

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    Our Clients

    For many years, Microtek Learning has been helping organizations, leaders, and professionals to reach their maximum performance by addressing the challenges they are facing.

    • 300+ enterprise clients
    • 100,000+ professionals trained
    • Service 70 of the Fortune 100
    • 96% of our clients would recommend us
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    Course Details

    • Duration: 4 Days
    • Skill Level: Intermediate
    • Enrolled: 1648
    • Price: $2395
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