Python Developer E-Learning

Algemene omschrijving

The Python Developer E-Learning is entirely in English. As a Dutch IT training provider, we offer the information on this page in Dutch. At the bottom of the page, you will find a brief summary in English. The topics within the Python Developer E-Learning package itself are described in English.

De Python Developer E-Learning biedt uitgebreide en praktijkgerichte zelfstudie voor iedereen die Python wil leren of zijn/haar kennis en vaardigheden verder wil ontwikkelen. Python is een van de snelst groeiende programmeertalen en wordt wereldwijd gebruikt in webontwikkeling, automatisering, datawetenschap en cybersecurity. Met de Python Developer E-Learning leer je niet alleen de basis van Python, maar verdiep jij je ook in geavanceerde toepassingen en frameworks.

Verder bestaat de Python Developer E-Learning uit 60 uur aan online cursusmateriaal, verdeeld over drie onderdelen, namelijk Getting Started with Python, Python Programming Advanced en Python Programming, Unit Testing, Flask & Concurrent Programming. In de Python Developer E-Learning zul je interactieve modules doornemen en oefenen met praktijkopdrachten binnen een labomgeving. Hierdoor zul jij kennis en vaardigheden opdoen die jij direct in praktijk kunt brengen. Of je nu een beginner bent of jouw Python-expertise uit wilt breiden, de Python Developer E-Learning biedt voor jou een passend leertraject.

De Python Developer E-Learning is een jaar lang toegankelijk. Binnen deze periode krijg jij de gelegenheid om in jouw eigen tempo te leren. De praktijkgerichte aanpak, gecombineerd met diepgaande theoretische kennis, maakt de Python Developer E-Learning geschikt voor professionals die hun carrière willen bevorderen. Bijvoorbeeld in softwareontwikkeling of in data-analyse.

Doelgroep

De Python Developer E-Learning is geschikt voor professionals die willen beginnen met of zich willen verdiepen in Python, van beginners zonder programmeerkennis tot ervaren softwareontwikkelaars die geavanceerde Python-toepassingen en frameworks willen leren.

Dit betreft met name de volgende mensen:

• Softwareontwikkelaars.
• Data-analisten.
• Datawetenschappers.
• Testautomatiseringsexperts.

Wat is inbegrepen

De Python Developer E-Learning is een jaar lang toegankelijk.

De Python Developer E-Learning biedt jou een uitgebreide en praktijkgerichte leerervaring van 60 uur waarin zowel de basis van Python als geavanceerde onderwerpen worden behandeld. Door middel van interactieve modules, praktische labopdrachten en ondersteuning van een online mentor, zul je zowel theoretische kennis als direct toepasbare vaardigheden verkrijgen.

Hier is een overzicht van de inhoud van de Python Developer E-Learning:

• Getting Started with Python
  • Een inleiding op Python, complexe datatypes, loops en functies. Door middel van praktische labopdrachten zul je met hulpmiddelen leren werken als Jupyter Notebook, Pandas en PyCharm IDE.
• Python Programming Advanced
  • Verdiep je in geavanceerde Python-onderwerpen, zoals klassen en overerving, datastructuren en algoritmen. Praktische oefeningen omvatten onder andere bestandsbeheer, het gebruik van abstracte klassen en het implementeren van grafen en bomen.
• Python Programming, Unit Testing, Flask & Concurrent Programming
  • Ontdek geavanceerde onderwerpen als unit testing, HTTP-verzoeken, het ontwikkelen van webapplicaties met Flask en concurrerende programmering.
• Labopdrachten
• Online begeleiding van een mentor

Voorkennis

Je hebt geen specifieke voorkennis nodig om te beginnen met de Python Developer E-Learning.

Onderwerpen

Track 1: Getting Started with Python

In this track, the focus is getting started with Python, complex data types, conditional statements and loops, and first-class functions and lambdas.

• E-learning courses.
  • 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.
• Online Mentor.
  • You can reach your Mentor by entering chats or submitting an email.
• Assessment.
  • Final Exam: Python Novice.
• Practice Labs: Python Novice.
  • 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:
    • Python, Anaconda.
    • Jupyter Notebook + JupyterHub.
    • Pandas.
    • NumPy.
    • SiPy.
    • Seaborn Library.
    • PyCharm IDE.
    • Spyder IDE.
    • MongoDB.
    • MySQL.
    • VS Code.

Track 2: Python Programming Advanced

In this track, the focus is Python classes and inheritance and also data structures and algorithms.

• E-learning courses.
  • 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.
• Online Mentor.
  • You can reach your Mentor by entering chats or submitting an email.
• Assessment.
  • Final Exam: Python Apprentice.
• Practice Labs: Python Apprentice (estimated duration: 8 hours).
  • Perform apprentice level Python development tasks such as file handling, implementing polymorphism, implementing special method names, as well as implementing an abstract class and using static methods. Then, test your skills by answering assessment questions after using a Python list as a stack, performing queue operations, implementing a graph as an adjacency matrix, and traversing a Binary Search Tree (BST).

Track 3: Python Programming, Unit Testing, Flask & Concurrent Programming

In this track, the focus will be on Python Unit Testing, Python HTTP requests, Flask in Python, and Python concurrent programming.

• E-learning collections.
  • 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.
  • Flask in Python: An Introduction to Web Frameworks & Flask.
  • Flask in Python: Building a Simple Web Site Using Flask.
  • Flask in Python: User Interactions in Flask Applications.
  • Flask in Python: User Authentication in a Flask Application.
  • 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.
• Online Mentor.
  • You can reach your Mentor by entering chats or submitting an email.
• Assessment.
  • Final Exam: Python Journeyman.

English Summary

The Python Developer E-Learning provides a comprehensive and practical self-study program for anyone looking to learn Python or enhance their existing skills. Covering 60 hours of online content, the Python Developer E-Learning is divided into three tracks: Getting Started with Python, Python Programming Advanced, and Python Programming, Unit Testing, Flask & Concurrent Programming. With interactive modules and hands-on lab assignments, you’ll gain knowledge and skills that can be directly applied in fields like software development and data analysis. Accessible for one year, this Python Developer E-Learning offers a flexible learning path suitable for both beginners and experienced professionals aiming to advance their careers.