Advanced Python Training

Course Duration : 90 Hours, Course Fee : 30000

Learn Advanced Python Training by the Experts having 7+ Years of experience in Data Analytics and Web Services Development.

Advanced Python Training is designed to set your programming skills from a basic python or any other programming language to the Python Expert. In this course, we’re going to cover some other topics in more detail and adding new ones. ACLM always trying to cover classes in great detail, with new coverage of database connectivity, network programming, OS services, date/time management, binary data, unit testing and more. The Advanced Python Training has ratio of 40% lectures and 60% practical training.

Download Link for Python: Python.org

The course is huge in demand by worldwide IT professionals. Get a free demo by ACLM Data Analytics Lab Call us at +91-72899 89188

Topics Covered

All students under Advanced Python Training will have:

Leverage OS services
Define classes
Code graphical interfaces for applications
Create modules and packages
Implement and run unit tests
Created multithreaded applications
Interact with network services
Query databases
Process XML, CSV, and JSON data

ADVANCED PYTHON TRAINING OUTLINE

Introduction

Python refresher

Data types
Sequences
Mapping types
Program structure
Files and console I/O
Conditionals
Loops
Built-ins

OS Services

The OS module
Environment variables
Launching external commands
Walking directory trees
Paths, directories, and filenames
Working with file systems

Dates and times

Basic date and time classes
Different time formats
Converting between formats
Formatting dates and times
Parsing date/time information

Binary Data

What is Binary Data?
Binary vs text
Using the Struct module

Pythonic Programming

The Zen of Python
Common idioms
Named tuples
Useful types from collections
Sorting
Lambda functions
List comprehensions
Generator expressions

Functions, Modules, and packages

Creating functions
Function Parameters
Variable scope
Creating modules
Using the import statement
Module search path (PYTHONPATH)
Documenting modules

Intermediate Classes

Classes refresher
Properties
Class data/methods
Inheritance
Special methods

Meta Programming

Implicit properties
globals() and locals()
Working with object attributes
The inspect module
Callable classes
Decorators
Monkey patching

Developer Tools

Analyzing programs with pylint
Using the debugger
Profilng code
Testing speed with benchmarking

Unit tests

What is a unit test
Creating a Test cases
Writing tests
Running tests

Database access

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

PyQt

Overview
Qt Architecture
Using designer
Standard widgets
Event handling
Extras

Network Programming

Built-in classes
Using requests
Grabbing web pages
Sending email
Working with binary data
Consuming RESTful services
Remote access (SSH)

Multiprogramming

The threading module
Sharing variables
The queue module
The multiprocessing module
Creating pools
About async programming

Scripting for System Administration

Running external programs
Parsing arguments
Creating filters to read text files
Logging

Serializing data

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

Conclusion

Who Should Attend

All students should be able to write simple Python scripts,
using basic data types,
program structures,
and the standard Python library.

Pre-requisites

All programming concepts
Must be aware of OOPS and
System Analysis and Design (SAD)
Having Strong Analytical Skill

What You Need To Bring

For Classes, which is getting delivered offline, candidate must have their own laptop with Python 3.6 and highter running, A note book, Pen, Pencil (Audio / Video Recorder Not Allowed) For classes delivered online, all participants need either dual monitors or a separate device logged into the online session so that they can do their work on one screen and watch the instructor on the other. A separate computer connected to a projector or large screen TV would be another way for students to see the instructor's screen simultaneously with working on their own.

Key Takeaways

Amazingly the outcome of the training will boost you in thorough research on Python and its modules. You can set your goal towards your career in Python with Data Analytics as well as Python Developer and can also set your skill to the new and most demanding AI (artifical intelligent) technologies.

About Trainer

Have 7+ Years of Experience in Python Programming and web services along with database design and administration
Have contributed to various international projects on Python, Tableau, Django and many more
Developed his own tool for AI supports

Admission Form

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Schedule

18
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