Advanced Python Programming Training

Advanced Python Programming Training is an in-depth technical course that helps professionals become experts at Python. It teaches you how to utilize advanced concepts to create real-time and advanced applications based on Python.

📘 Python 👥 1540 Enrolled ⏱️ 4 Days 💼 Advanced Level ⭐ 5 | 113 Reviews

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| Advanced Python Programming

Course Overview

Advanced Python Programming Training is an in-depth technical course that helps professionals become experts in Python.

It teaches you how to utilize advanced concepts to create real-time and advanced applications based on Python.

It polishes your skills transforms you into an expert Python programmer and elevates your game development knowledge.

This training program elaborates on the concepts of Python and describes the standard library comprehensively.

You will develop a better understanding of decorators and gain more information regarding RDB Interaction.

The course explores management and multiprocessing and explains CSV, XML, and JSON Modules.

It is an ideal program for system administrators, developers, aspiring data scientists, and analysts with Python's fundamental knowledge.

From CGI programming, logging, and multithreading, to the correct techniques of using objects and classes, this training will educate you on all essential elements required to become an expert Python programmer.

Mode of Training

🏫 Classroom 💻 Live Online 🧪 Blended 👨‍👩‍👧‍👦 Private Group

What you will learn

  • Build rich MVC-based web applications with Pyramid
  • Ways to access relational databases from direct SQL
  • How to test all these applications to keep them running correctly
  • Accessing popular NoSQL, document-databases with MongoDB, PyMongo, and MongoKit
  • Build redistributable Windows-based EXEs that do not depend upon Python being installed on the target system

Who Should Attend This Course?

  • Developers who want to take Python to the next level and need to be effective with Python immediately after the course

 

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📘 Advanced Python Programming Outline

  • Data types; Sequences
  • Mapping types
  • Program structure
  • Files and console I/O
  • Conditionals
  • Loops & Built-ins
  • The OS module; Environment variables
  • Launching external commands
  • Walking directory trees
  • Paths, directories, and filenames
  • Working with file systems
  • Dates and times
  • The Zen of Python
  • Common idioms
  • Lambda functions
  • List Comprehensions
  • Generator expressions
  • String formatting
  • Initialization code
  • Namespaces
  • Executing modules as scripts
  • Documentation
  • Packages and name resolution
  • Naming conventions
  • Using imports
  • Defining classes
  • Instance methods and data
  • Properties
  • Initializers
  • Class and static methods/data
  • Inheritance
  • Implicit properties
  • Globals() and Locals()
  • Working with attributes
  • The inspect module
  • Decorators
  • Monkey patching
  • Analyzing programs
  • Using pylint
  • Testing code
  • Using unittest
  • Debugging
  • Profiling and benchmarking
  • Distribution concepts
  • setuptools
  • Creating setup.py
  • Building installers
  • Running installers
  • The DB API
  • Available Interfaces
  • Connecting to a server
  • Creating and executing a cursor
  • Fetching data; Metadata
  • Parameterized statements
  • Transaction control; DBMS modules
  • Other DBMS modules
  • About QT4
  • Getting started with the designer
  • Widget properties
  • Predefined dialogs
  • Generating the UI
  • Wiring up events
  • Advanced Topics
  • Sockets
  • Clients
  • Servers
  • Application protocols
  • Forking servers
  • Binary data
  • The struct module
  • When to use threads?
  • The Global Interpreter Lock
  • Threading module; Simple threading
  • Sharing variables; Threaded servers
  • Queue module
  • Debugging threaded programs
  • Alternatives to threading
  • Working with XML
  • DOM and Sax
  • Introducing ElementTree and lxml
  • Parsing XML; Navigating document
  • Creating a new XML document
  • JSON; Parsing JSON into Python
  • Converting Python into JSON
  • About non-Python modules
  • Overview of a C extension
  • Writing C by hand
  • Loading modules with ctypes
  • Running external commands with subprocess
  • Getting command status
  • Managing STDOUT, STDERR, and STDIN
  • The sh module (non-Windows systems only)
  • Creating a simple command
  • Keyword arguments
  • Running commands in the background
  • Piping and redirection
  • Working with STDIO
  • Exit codes
  • Advanced features
  • Creating a simple command
  • Keyword arguments
  • Running commands in the background
  • Piping and redirection
  • Working with STDIO
  • Exit codes; Advanced features

❓ Frequently Asked Questions

Yes, you will get a certificate after successfully passing the 4850 Advanced Python Programming exam that can be scheduled after completing four days online training.

We conduct online instructor led virtual training all across the United States and Canada.

During four days training, you will practically learn using various programmer tools for Analyzing programs, Using pylint, Testing code, Using unittest, Debugging, Profiling and benchmarking etc.

During 4850 Advanced Python Programming course training, you learn about Sockets, Clients, Servers, Application protocols, Forking servers, Binary data and Struct module etc which are the integral part of any networking system.

Still have questions?

Reach out to our learning advisors for personalized guidance on choosing the right course, group training, or enterprise packages.

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  • Peer Collaboration (Not in self-paced)

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