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