In this Python  course, students already familiar with Python programming will learn advanced Python techniques such as IPython Notebook, the Collections module, mapping and filtering, lambda functions, advanced sorting, writing object-oriented code, testing and debugging, NumPy, pandas, matplotlib, regular expressions, Unicode, text encoding and working with databases, CSV files, JSON and XML.

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

Career benefit of this course

• Advanced Python Developer
• Python Developer

Course Modules for Database Administration Fundamentals

Module 1: IPython Notebook

• Getting Started with IPython Notebook
• Creating Your First IPython Notebook
• IPython Notebook Modes
• Useful Shortcut Keys
• Markdown
• Magic Commands

Module 2: Advanced Python Concepts

• Advanced List Comprehensions
• Collections Module
• Mapping and Filtering
• Lambda Functions
• Advanced Sorting
• Unpacking Sequences in Function Calls
• Modules and Packages

Module 3: Working with Data

• Databases
• CSV
• Getting Data from the Web
• HTML
• XML
• JSON

Module 4: Classes and Objects

• Creating Classes
• Attributes, Methods and Properties
• Extending Classes
• Documenting Classes
• Static, Class, Abstract Methods
• Decorator

Module 5: Testing and Debugging

• Creating Simulations
• Testing for Performance
• The unittest Module

Module 6: NumPy

• One-dimensional Arrays
• Multi-dimensional Arrays
• Getting Basic Information about an Array
• NumPy Arrays Compared to Python Lists
• Universal Functions
• Modifying Parts of an Array
• Adding a Row Vector to All Rows
• Random Sampling

Module 7: pandas

• Series and DataFrames
• Accessing Elements from a Series
• Series Alignment
• Comparing One Series with Another
• Element-wise Operations
• Creating a DataFrame from NumPy Array
• Creating a DataFrame from Series
• Creating a DataFrame from a CSVl
• Getting Columns and Rows
• Cleaning Data
• Combining Row and Column Selection
• Scalar Data: at[] and iat[]
• Boolean Selection
• Plotting with matplotlib

Module 8: Regular Expressions

• Regular Expression Syntax
• Python’s Handling of Regular Expressions

Module 9: Unicode and Encoding

• Encoding and Decoding Files in Python
• Converting a File from cp1252 to UTF-8

The strength in your qualification

On successful completion of this programme, the learner will receive the Pine Valley Institute certificate as a Python  Developer and also we are accredited by Micseta .We also assist the learner to seat as a certify  Python Developer which guarantee the learners to work in any reputable company

For Career Guidance or not sure what to study complete the form below and Pine Valley Institute professional career adviser will call you back within an hour