Advanced Python Programming

Learn via : Virtual Classroom / Online
Duration : 3 Days
  1. Home
  2. Advanced Python Programming

Description

    In this Python training course, students already familiar with Python programming will learn advanced Python techniques.

    This advanced Python course is taught using Python 3; however, differences between Python 2 and Python 3 are noted.

     

    Delegates will learn to

    • work with Jupyter Notebook.
    • work with the Collections module.
    • about mapping and filtering and lambda functions.
    • advanced sorting.
    • work with regular expressions in Python.
    • work with databases, CSV files, JSON, and XML.
    • write object-oriented code in Python.
    • test and debug your Python code.
    • about Unicode and text encoding.

Outline

Language Overview

  • Quick Review of Python Essentials
  • Flow Control, Functions, Lists, Tuples, Sets, Dictionaries, Exceptions

Object Oriented Programming

  • Encapsulation
  • Information Hiding
  • Inheritance
  • Polymorphism
  • Overloading
  • Overriding
  • Constructors
  • Multiple Inheritance

Advanced Functions

  • Packing and Unpacking
  • Zip Function
  • Function Parameters: *args, **kwargs
  • Iterator
  • Generator
  • Decorator
  • Magic Methods

Regular Expressions

  • Regex Module
  • Search vs. Match
  • Find and Replace
  • Option Flags
  • Special Char Classes

Dates and Times

  • Understanding Time
  • The time Module
  • The datetime Module
  • Working with Timezones
  • Arithmetic with Time and Dates

OS Communication with other OS

  • How to send commands to OS from Python
  • os Module
  • sys Module
  • shutil Module
  • subprocess Module

Networking Basics

  • How to access remote devices from Python
  • Paramiko Library
  • Netmiko Library
  • LAB: Access and Run Command on Linux using Paramiko

Packaging Details

  • Virtual Environments
  • Creating your own packages and modules
  • Creating EXE files
  • CLI Debugging
  • PVM: CPython vs Cython vs Jython

Data Formats

  • How to Read and Write Different Data Formats
  • File Read/Write: Text and Binary
  • CSV
  • XML
  • EXCEL
  • JSON
  • YAML
  • JSON LABS

HTTP and API Access

  • HTTP Basics
  • GET, POST, PUT, PATCH, HEAD, DELETE
  • HTTP Status Codes
  • requests Module
  • How to access an API
  • API LABS

Database Access

  • SQL vs. NoSQL Databases
  • SQLite3 Module
  • SQL Basics
  • CRUD Operations on SQLite3 Database
  • – CREATE
  • – SELECT
  • – INSERT
  • – UPDATE
  • – DELETE
  • SQLite3 Movie Database Project

Introduction to Data Analysis

  • This module just give basic info Data Science Topics
  • Understanding the Nature of the Data
  • The Data Analysis Process
  • Problem Definition
  • Data Extraction
  • Python and Data Analysis
  • The NumPy Library
  • The Pandas Standard Library
  • Data Visualization with matplotlib

Prerequisites

Introduction to Python Programming