Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python’s simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse.

This four day course leads the student from the basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting.

This is a hands-on programming course. All concepts are reinforced by informal practice during the session followed by graduated lab exercises. Python Programming is a practical introduction to a working programming language, not an academic overview of syntax and grammar. Students will immediately be able to use Python to complete tasks in the real world.

Career benefit of this course

• Junior Developer
• Python Developer

Course Modules for Database Administration Fundamentals

Module 1: About this Course

• Welcome

Module 2: An Overview of Python

• What is Python?
• The Birth of Python
• Python Timeline
• About Interpreted Languages
• Advantages of Python
• Disadvantages of Python
• How to Get Python
• The end of 2.x
• Getting Help
• Pydoc
• Using Pydoc

Module 3: The Python Environment

• Starting Python
• If the Interpreter is Not in Your PATHs
• Using the Interpreter
• Trying Out a Few Commands
• The help() Command
• Running a Python Script
• Python Scripts on Unix
• Python Scripts on Windows
• Python Editors and IDEs

Module 4: Getting Started

• Using Variables
• Keywords
• Built-in Functions
• Variable Typing
• Strings
• Single-delimited String Literals
• Triple-delimited String Literals
• Raw String Literals
• Unicode Characters
• String Operators and Methods
• Numeric Literals
• Math Operators and Expressions
• Converting Among Types
• Writing to the Screen
• String Formatting
• Command Line Parameters
• Reading From the Keyboard

Module 5: Flow Control

• About Flow Control
• What’s with the White Space
• If and Elif
• Conditional Expressions
• Relational Operators
• Boolean Operators
• While Loops
• Alternate Ways to Exit a Loop

Module 6 : Sequences

• About Sequences
• Lists
• Tuples
• Indexing and Slicing
• Iterating Through a Sequence
• Using Enumerate()
• Functions for All Sequences
• Keywords and Operators for All Sequences
• The Range() Function
• Nested Sequences
• List Comprehensions
• Generator Expressions

Module 7: Working with files

• Text File I/O
• Opening a Text File
• The With Block
• Reading a Text File
• Writing to a Text File
• Non-Delimited (Raw) Data

Module 8: Dictionaries and Sets

• About Dictionaries
• When to Use Dictionaries
• Creating Dictionaries
• Getting Dictionary Values
• Iterating Through a Dictionary
• Reading File Data into a Dictionary
• Counting with a Dictionary
• About Sets
• Creating Sets
• Working with Sets

Module 9: Functions

• Defining a Function
• Function Parameters
• Returning Values
• Variable Scope

Module 10 : Sorting

• Sorting
• The Sorted() Function
• Alternate Keys
• Lambda Functions
• Sorting Nested Data
• \Sorting Dictionaries
• Sorting in Reverse
• Sorting Lists in Place

Module 11: Using Modules

• Regular Expressions
• RE Syntax Overview
• RE Objects
• Searching for Patterns
• Matching Without Re Objects
• Compilation Fags
• Grouping
• Special Groups
• Replacing Text
• Splitting a String

Module 12: Using the Standard Library

• The Sys Module
• Interpreter Information
• STDIO
• Launching External Programs
• Paths, Directories, and Filenames
• Walking Directory Trees
• Grabbing Web Pages
• Sending E-Mail
• Math Functions
• Random Values
• Dates And Times
• Zipped Archives

Module 13: An Introduction to Python Classes

• About O-O Programming
• Defining Classes
• Initializers
• Instance Methods
• Properties
• Class Methods and Data
• Static Methods
• Private Methods
• Inheritance
• Untangling the Nomenclature

Module 14: Bonus Exercises

• Appendix A: Bibliography
• Appendix B: Python Gotchas
• Appendix C: String Formatting

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