ITS 303 Python Training - OEM Certkit

Deze CertKit is bedoeld voor studenten die willen leren hoe ze Python-code kunnen schrijven die een bepaald probleem logisch oplost. Kandidaten zullen leren hoe ze Python-code moeten schrijven, debuggen, onderhouden en documenteren. Het materiaal bereidt studenten voor op het certificeringsexamen ITS-303: Information Technology Specialist Python.

Het Information Technology Specialist programma is gericht op kandidaten die overwegen of net
een loopbaan in de informatietechnologie willen beginnen. Het ITS programma neemt de plaats in van het Microsoft MTA programma.

Prerequisites:
There are no prerequisites for this course.

Course outcome:

• Create Operations using Data Types and Operators
• Create Control Flow Operations
• Create Input and Output Operations
• Write and Document code to solve a specified problem
• Troubleshoot Problems and Write Error Handling Operations
• Perform Operations Using Modules and Tools

Who should attend:
This course is intended for new and experienced programmers that want to learn how to write and troubleshoot Python code. Previous programming experience is not required but recommended.

CertKit content:
E-learning courses:

Getting Started with Python: Introduction

Course: 1 Hour, 30 Minutes

• Course Overview Python Introduction
• Install and Set up Anaconda on Windows for Python
• Run Jupyter notebooks on Windows for Python
• Install and Set up Anaconda on MacOS for Python
• Run Jupyter notebooks on MacOS for Python
• Using Python as a Calculator
• Working with Python Built-in Functions
• Introducing Python Variables to Store Values
• Working with Different Types of Variables in Python
• Assigning Values to Variables in Python
• Updating Variable Values in Python
• Working with Python Simple Data Types
• Creating Single-line and Multi-line Strings in Python
• Formatting Operations with Strings in Python
• Exercise: Python Jupyter Notebooks, Functions, & Variables

Complex Data Types in Python: Working with Lists & Tuples in Python

Course: 1 Hour, 39 Minutes

• Course Overview
• Introducing Lists
• Performing Simple List Operations
• Performing Useful List Operations
• Using Built-in Functions with Lists
• Perform Slicing Operations on Lists
• Using Step Size in Slicing Operations
• Working with Strings as a List of Characters
• Invoking Functions on Strings
• Perform Slicing Operations on Strings
• Introducing Tuples
• Understanding Tuple Immutability
• Introducing Other Complex Data Types
• Exercise: Lists, Tuples, Similar Yet Different

Complex Data Types in Python: Working with Dictionaries & Sets in Python

Course: 53 Minutes

• Course Overview
• Introducing Dictionaries
• Nesting Complex Data Types Within Dictionaries
• Invoking Functions on Dictionaries
• Introducing Sets
• Performing Set Operations
• Working with Nested Lists
• Performing List Conversions
• Exercise: Dictionaries and Sets

Complex Data Types in Python: Shallow & Deep Copies in Python

Course: 45 Minute

• Course Overview
• Copying Strings
• Performing Shallow Copies of Lists
• Performing Deep Copies of Lists
• Creating Shallow and Deep Copies of Tuples
• Creating Shallow Copies of Dictionaries
• Creating Deep Copies of Dictionaries
• Creating Shallow and Deep Copies of Sets
• Exercise: Shallow and Deep Copies

Conditional Statements & Loops: If-else Control Structures in Python

Course: 1 Hour, 41 Minutes

• Course Overview
• Python Conditions
• If Statements with Primitive Datatypes
• If Statements with Complex Datatypes
• If-else Elif Statements
• Nested If-else Statements
• If-else Statements with Complex Datatypes
• Type Conversions with Primitive Datatypes
• Type Conversions with Complex Datatypes
• Type Conversions and Base Conversions
• Basic Programs - Part 1
• Basic Programs - Part 2
• Basic Programs - Part 3
• Basic Programs - Part 4
• Exercise: If-else Statements in Python

Conditional Statements & Loops: The Basics of for Loops in Python

Course: 1 Hour, 2 Minutes

• Course Overview
• Iterating over Elements in a List
• Iterating over Elements in a Tuple and Dictionary
• The else Block of a for Loop
• Nested Control Structures in a for Loop
• An Introduction to the range Function
• Setting Intervals in a Range
• Exploring the range Function
• Exercise: Basics of Python for Loops

Conditional Statements & Loops: Advanced Operations Using for Loops in Python

Course: 1 Hour, 5 Minutes

• Course Overview
• Introducing the break Statement
• The break Statement and the else block
• The continue Statement: Part 1
• The continue Statement: Part 2
• The pass Statement
• Introducing Comprehensions
• Applying Conditions in Comprehensions
• Exercise: Advanced Operations in for Loops

Conditional Statements & Loops: While Loops in Python

Course: 1 Hour, 20 Minutes

• Course Overview
• An Introduction to While Loops
• Basic While Loops - Part 1
• Basic While Loops - Part 2
• Single-line While Loops
• Evaluating Complex Data with While Loops - Part 1
• Evaluating Complex Data with While Loops - Part 2
• Exit a While Loop Using the Break Statement
• Using the Pass Keyword in a While Loop
• The Continue Statement in a While Loop
• Exercise: While Loops in Python
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Functions in Python: Introduction

Course: 2 Hours, 4 Minutes

• Course Overview
• Getting Started with Functions
• Working with Functions
• Functions as Objects
• Input Arguments - Invoking Functions
• Input Arguments - Referencing Global Variables
• Input Arguments - Using Positional Arguments
• Return Values - Functions
• Return Values - Multi-return Statements
• Return Values - Complex Data Types
• Keyword Arguments - Invoking Functions
• Keyword Arguments - Nuances
• Default Arguments
• Variable Length Arguments - *args Variable
• Variable Length Arguments - Combinations
• Variable Length Arguments - **kwargs Keyword
• Exercise: Introduction to Functions in Python

Functions in Python: Gaining a Deeper Understanding of Python Functions

Course: 1 Hour, 27 Minutes

• Course Overview
• Global and Local Variables
• Argument Passing by Value
• Argument Passing by Reference
• Math and OS Modules
• Random and Datetime Modules
• Functions as Arguments - Input Arguments
• Functions as Arguments - Variable Arguments
• Functions as Return Values
• Lambdas - Define and Invoke
• Lambdas - Define, Invoke, and Discard
• Lambdas - Filter() Function
• Exercise: Definining Python Functions

Functions in Python: Working with Advanced Features of Python Functions

Course: 1 Hour, 27 Minutes

• Course Overview
• Recursion - Invoking Functions
• Recursion - Conditions
• Recursion - Calls
• Generator Functions
• Generators for Infinite Sequences
• Closures
• Closures and Local State
• Decorators - Code Modification
• Decorators - Customization
• Chaining Decorators
• Exercise: Advanced Features in Python Functions

MeasureUp Official ITS Exam simulation
     •  120+ questions

Online Mentor

Practice Labs
     •  Practice novice Python development tasks such as formatting data types, implementing flow control and conditionals, copying containers, and performing loops with list comprehension methods. Then, test your skills by answering assessment questions after converting data types, working with global and local variables within functions, invoking functions with varying parameters and implementing recursive functions and closures. This lab provides access to tools typically used when developing with Python, including:
            o Python, Anaconda
            o Jupyter Notebook + JupyterHub
            o Pandas
            o NumPy
            o SiPy
            o Seaborn Library
            o PyCharm IDE
            o Spyder IDE
            o MongoDB
            o MySQL
            o VS Code