
Application Developer to Blockchain Engineer E-learning
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✓56 Award-winning e-learning training ✓ 65 hours Interactive videos with spoken text ✓ Certified teachers ✓ Practical exercises ✓ 365 days online Mentor ✓ 4 online exams ✓ 365 days ✓ Certificate
- E-Learning - Online toegang: 365 dagen
- Taal: Engels (US)
- Certificaat van deelname
- Ordered before 23:00:00, delivered tomorrow
- Gecertificeerde docenten
- Interactieve training + praktijkopdrachten
- Certificaat van deelname
- More information? Contact us about this product
Application Developer to Blockchain Engineer E-Learning Training
Order this awesome from beginning developer to Pythonista A CAREER MADE LEARNING TRIP.
With award-winning e-learning Application Developer to Blockchain Engineer training online, 1 year 24/7 access to comprehensive 56 Award-winning e-learning training ✓ 65 hours Interactive narration videos ✓ Certified teachers ✓ Practical exercises ✓ 365 days online Mentor ✓ 4 online exams ✓ Certificate
Content
Track 1: Python Novice
Courses in this Track:
Focus areas:
✓ Getting Started with Python
✓ Linked Lists ✓ Arrays ✓ Constructs
✓ Language Basics
✓ Programming Style
✓ Frameworkd and Library
✓ Object-Oriented Concepts/Exploration
✓ Error Handling
✓ Basic Testing
• Getting Started with Python: Introduction
• Complex Data Types in Python: Working with Lists & Tuples in Python
• Complex Data Types in Python: Working with Dictionaries & Sets in Python
• Complex Data Types in Python: Shallow & Deep Copies in Python
• Conditional Statements & Loops: If-else Control Structures in Python
• Conditional Statements & Loops: The Basics of for Loops in Python
• Conditional Statements & Loops: Advanced Operations Using for Loops in Python
• Conditional Statements & Loops: While Loops in Python
• Functions in Python: Introduction
• Functions in Python: Gaining a Deeper Understanding of Python Functions
• Functions in Python: Working with Advanced Features of Python Functions
Track 2: Python Apprentice
Focus areas:
✓ Working with Complex Data Types
✓ List, Strings as Lists ✓ Conditional Statements
✓ First Class Functions and Lambdas
✓ Deep and shallow copies of data
✓ Conditional Statements and Loops
✓ Loops for rangers, lists dictionaries
✓ Break and continue statements
✓ Unit Testing
Courses in this Track:
• Advanced Python Topics: File Operations in Python
• Advanced Python Topics: Exceptions & Command Line Arguments
• Advanced Python Topics: Python Modules & Virtual Environments
• Advanced Python Topics: Migrating from Python 2 to Python 3
• Python Classes and Inheritance: Introduction
• Python Classes & Inheritance: Getting Started with Classes in Python
• Python Classes & Inheritance: Working with Inheritance in Python
• Python Classes & Inheritance: Advanced Functionality Using Python Classes
• Data Structures & Algorithms in Python: Fundamental Data Structures
• Data Structures & Algorithms in Python: Implementing Data Structures
• Data Structures & Algorithms in Python: Sorting Algorithms
• Data Structures & Algorithms in Python: Implementing Sorting Algorithms
• Data Structures & Algorithms in Python: Trees & Graphs
• Data Structures & Algorithms in Python: Implementing Trees & Graphs
Track 3: Python Journeyman
Focus areas:
✓ Classes and Inheritance in Python
✓ Initialization/special methods in classes
✓ Parent, derived & abstract base classes
✓ Advanced Topics in Python
✓ Regx, APIs, Working with files
✓ Exception and debugging
✓ Member variables
✓ Automated Testing Strategies
Courses in this Track:
• Python Unit Testing: An Introduction to Python's unittest Framework
• Python Unit Testing: Advanced Python Testing Using the unittest Framework
• Python Unit Testing: Testing Python Code Using pytest
• Python Unit Testing: Testing Python Code Using doctest
• Python Requests: HTTP Requests with Python
• Python Concurrent Programming: Introduction to Concurrent Programming
• Python Concurrent Programming: Multithreading in Python
• Python Concurrent Programming: Multiprocessing in Python
• Python Concurrent Programming: Asynchronous Executions in Python
Track 4: Pythonista
Focus areas:
✓ Advanced Data Structures and Algorithms
✓ Complexity/Big-O natation
✓ Binary Trees
✓ Sorting, searching and algorithms
✓ Design Patterns, Python idioms
✓ Best Practices & APIs
✓ Graph & graph algorithms
✓ Continual Testing Strategies
Courses in this Track:
• Introduction to Using PyCharm IDE
• Excel with Python: Working with Excel Spreadsheets from Python
• Excel with Python: Performing Advanced Operations
• Excel with Python: Constructing Data Visualizations
• Socket Programming in Python: Introduction
• Socket Programming in Python: Advanced Topics
• Python Design Patterns: Principles of Good Design
• Python Design Patterns: Working with Creational Design Patterns
• Python Design Patterns: Working with Structural Design Patterns
• Python Design Patterns: Working with Behavioral Design Patterns
Extra Learning:
Productivity Tools for Blockchain Solutions Architect
✓ Confluence: Signing in & Navigating within Spaces
✓ Confluence: Setting Up & Managing Spaces
✓ Confluence: Working with Spaces
✓ Confluence: Working with Team Members
✓ Confluence: Configuring Spaces
✓ Slack Web: Signing in and Setting Up
✓ Slack Web: Using Channels
✓ Slack 2016: Private Messaging & Communication Tools
✓ Slack 2016: Creating, Finding, & Sharing Information
✓ Slack 2016: Configuring Slack ✓ Slack iOS: Using the iOS App
Availabilty | 65 Hours |
Language | English |
Certificate of participation | Yes |
Online access | 90 days |
Progress monitoring | Yes |
Award Winning E-learning | Yes |
Suitable for mobile | Yes |