Unleash Your Potential with Our Python Course
Are you ready to embark on a journey into the world of Python? Look no further than Info Trek’s Python Essentials course (Course Code: PY101). In just 5 days of immersive, instructor-led training, you’ll unlock the power of Python and gain the confidence to write Python programs for projects of any size.
Who Should Join?
Our Python course is tailored for those who already dabble in Korn shell scripting, Perl, or C programming. If you’re familiar with manipulating files or controlling processes, you’re in the right place. All we ask is that you’ve got a grasp of Unix basics and some recent programming experience. We’ll take care of the rest.
What to Expect
The Python Essentials course is your gateway to a versatile and dynamic programming language. Dive into the Python interpreter, master numbers, strings, lists, dictionaries, and more. From coding basics to advanced topics, you’ll discover the Python universe. Whether you’re drawn to its simplicity, its robust libraries, or its broad applications, Python is your key to unleashing your coding potential. Join us and let’s embark on this exciting Python journey together!
Course Details
Course Code: PY101; Duration: 5 Days; Instructor-led
This course introduces the student to the Python language. On completion of this class the student should feel comfortable with writing Python programs. The course provides insight to the features of Python that make it an excellent choice for projects of virtually any size
Audience
This course is designed for those already using Korn shell scripting, Perl, or C programming languages to manipulate files or control processes
Prerequisites
This course requires participants to meet the following prerequisites:
- Introduction to Unix course or equivalent experience
- Recent programming experience
Methodology
This program will be conducted through Instructor-led (classroom)
Course Objectives
After completing this course, students will be able to:
- Write Python programs dealing with sequences and mappings, program flow control, system calls and file manipulation
Outlines
Module 1 - Why Python?
- Why do people use Python?
- Is Python a scripting language?
- What can I do with Python?
- What are Python’s technical strengths?
Module 2 - How Python Runs Programs
- Introducing the Python interpreter
- Program execution
- Execution model variations
Module 3 -Numbers
- Python program structure
- Why use built-in types?
- Numbers
- Python expression Operators
- Numbers in action
- The dynamic typing interlude
Module 4 - Strings
- String literals
- Strings in action
- String formatting
- String methods
- General type categories
Module 5 - Lists & Dictionaries
- Lists
- Lists in action
- Dictionaries
- Dictionaries in action
Module 6 - Tuples, Files & Everything Else
- Tuples
- Files
- Type categories revisited
- Object generality
- References versus copies
- Comparisons, equality, and truth
- Python’s type hierarchies
- Other types in Python
- Built-in type gotchas
Module 7 - Assignment, Expressions, & Print
- Assignment statements
- Expression statements
- Print statements
Module 8 - If Tests
- If statements
- Python syntax rules
- Truth tests
Module 9 - While And For Loops
- While loops
- Break, continue, pass, and the loop else
- For loops
- Loop variations
Module 10 - Function Basics
- Why use functions?
- Coding functions
- Definition & calls
- Intersecting sequences
Module 11 - Scopes & Arguments
- Scope rules
- The global statement
- Scopes and nested functions
- Passing arguments
- Special argument matching modes
Module 12 - The Big Picture
- Why use modules?
- Python program architecture
- How imports work
Module 13 - Coding Basics
- Module creation
- Module usage
- Module namespaces
- Reloading modules
Module 14 - Packages
- Package import basics
- Package import example
- Why use package imports?
Module 15 - OOP: The Big Picture
- Why use classes?
- OOP from 30,000 feet
Module 16 - Class Coding Basics
- Classes generate multiple instance objects
- Classes are customized by inheritance
- Classes can intercept python operators
Module 17 - Class Coding Details
- The class statement
- Methods
- Inheritance
- Operator overloading
- Namespaces
Module 18 - Designing with Classes
- Python and OOP
- Classes as records
- OOP and inheritance: “is-a” relationships
- OOP and composition: “has-a” relationships
- OOP and delegation
- Multiple inheritance
- Classes are objects: Generic object factories
- Methods are objects: Bound or unbound
- Classes versus modules
Module 19 - Exception Basics
- Why use exceptions?
- Exception handling: The short story
- The try/except/else statement
- The try/finally statement
- The raise statement
- The assert statement
Module 20 - Exception Objects
- String-based exceptions
- Class-based exceptions
- General raise statement forms
Module 21 - Designing with Exceptions
- Nesting exception handlers
- Exception idioms
- Exception design tips
- Exception gotchas
- Core language summary
Module 22 - Common Tasks in Python
- Exploring on your own
- Conversions, numbers and comparisons
- Manipulating strings
- Data structure manipulations
- Manipulating files and directories
- Internet-related modules
- Executing programs
- Debugging, testing, timing, profiling
Module 23 - Advanced Topics
- Web frameworks
- GUI frameworks
- Content management frameworks
