Python - Python Fundamentals
Description
For discounts and graduated prices, visit the OEM Office Elearning Menu website and contact us directly. You will receive the quote within 1 working day.
Python Fundamentals / Python / Programming (general) / Data Science Python.
Order this amazing, award-winning Python Fundamentals E-Learning course online, 1 year 24/7 access to extensive interactive videos, speeches, hands-on tasks and progress monitoring. After the course you will receive a certificate of attendance.
Python is a high-level programming language that has code readability and simplicity as its primary design goals. Python is an interpreted language and supports object-oriented, functional imperative, and procedural paradigms. This series of Skillsoft courses covers the basics of Python and focuses on getting you up to speed writing code that conforms to the Pythonic style.
…Frequently asked questions
There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.
For discounts and graduated prices, visit the OEM Office Elearning Menu website and contact us directly. You will receive the quote within 1 working day.
Python Fundamentals / Python / Programming (general) / Data Science Python.
Order this amazing, award-winning Python Fundamentals E-Learning course online, 1 year 24/7 access to extensive interactive videos, speeches, hands-on tasks and progress monitoring. After the course you will receive a certificate of attendance.
Python is a high-level programming language that has code readability and simplicity as its primary design goals. Python is an interpreted language and supports object-oriented, functional imperative, and procedural paradigms. This series of Skillsoft courses covers the basics of Python and focuses on getting you up to speed writing code that conforms to the Pythonic style.
Course content
Setting Up
Course: 38 Minutes
- Course Introduction
- An Overview of Python
- The Philosophy of Python
- Python 2 vs Python
- Installing Python
- Installing Python 3 on Linux
- Python IDEs
A Basic Program
Course: 35 Minutes
- Whitespace in Python
- Read, Evaluate, Print, Loop
- Hello World
- User Input
- Modules and Imports
Data Types
Course: 19 Minutes
- The int Type in Python
- The float Type in Python
- Basic Math Functions in Python
- The bool Type in Python
Sequence Types
Course: 57 Minutes
- The str Type in Python
- The bytes Type in Python
- The bytearray Type in Python
- The list Type in Python
- The tuple Type in Python
- Slicing in Python
Collection and Mapping Types in Python
Course: 25 Minutes
- The range Type and Function in Python
- The set Type in Python
- The dict Type in Python
Loops and Conditionals
Course: 31 Minutes
- The While Loop in Python
- The For Loop in Python
- The if Statement in Python
Practice: Writing a Python Program
Course: 4 Minutes
- Exercise: Name Reverser
Modules and Functions
Course: 39 Minutes
- Course Introduction
- Importing a Module at the REPL
- Defining a Function
- Python Scripts, Modules, and Programs
- Running a Module as a Script
- Command Line Arguments
Classes
Course: 1 Hour, 18 Minutes
- Classes and Types
- Class Definition
- Class Initialization
- Class Instance Methods
- Static Methods
- Inheritance
- Properties
- Properties with Inheritance
- Operator Overloading
Documenting Code
Course: 21 Minutes
- Docstrings
- Code Comments
- Documentation Best Practice
Files
Course: 28 Minutes
- Reading Text Files
- Writing Data
- Writing Large Files
- Reading Binary Data
- Writing Binary Data
Practice: Creating Classes
Course: 6 Minutes
- Exercise: Creating a Custom Data Type6 2.55
Comprehensions
Course: 42 Minutes
- Course Introduction
- List Comprehensions
- Nested Comprehensions
- The zip() Function in Comprehensions
- Set Comprehensions
- Dictionary Comprehensions
Iterables
Course: 57 Minutes
- Basic Iteration
- The map() Function
- The filter() Function
- The functools.reduce() Function
- Implementing an Iterator
- Implement an Iterable Using __getItem
- Implement an Iterable Using Extended iter
Generators
Course: 28 Minutes
- Simple Generators
- Lazy Generators
- Recursive Generators
Exceptions
Course: 1 Hour, 29 Minutes
- Catching All Exceptions
- Catching Specific Exception Classes
- The Exception Hierarchy
- Exception Payloads
- Creating New Exceptions
- Traceback Objects
- Assertions
- Chaining Exceptions
Practice: Creating an Iterable
Course: 9 Minutes
- Exercise: Creating an Iterable Data Type
The Django Framework for Python
Course: 59 Minutes
- Course Introduction
- The Django Framework
- Setting up Django
- Creating a Django Project
- The Django Web Server
- Creating Django Apps
- Django Views and Templates
- Working with Data in Django
- Django Forms
The TurboGears Framework for Python
Course: 50 Minutes
- The TurboGears Framework
- Installing TurboGears for Python
- TurboGears Templates
- TurboGears Views
- TurboGears Controllers
- TurboGears and Rendering
- TurboGears and Data
- TurboGears and REST
The Flask Web Framework for Python
Course: 35 Minutes
- The Flask Framework
- Creating a Basic Flask Application
- Using Templates in Flask
- Working with Web Forms
- Connecting to Data with Flask
Practice: Working with Web Frameworks
Course: 5 Minutes
- Exercise: Creating a Django View
The web2py Framework for Python
Course: 55 Minutes
- Course Introduction
- Introduction to web2py
- web2py Core
- web2py Views5
- web2py Data Abstraction
- web2py Forms and Validation
- web2py Messaging
- web2py Authentication and Authorization
- web2py Services
Python Testing Frameworks
Course: 31 Minutes
- Testing with Python
- The Doctest Module
- Doctests in Docstrings
- Doctest Exceptions and Directives
- Understanding Unit Testing
Unit Testing in Python
Course: 50 Minutes
- Using Python Mocker
- Running Unit Tests with Unittest
- Working with Test Fixtures
- Test Iterations with Subtests
- Unit Testing with Nose
- Unit Testing with Pytest
- Acceptance Testing with the Robot Framework
- Web Automation Testing Using Selenium
Practice: Working with Testing
Course: 3 Minutes
- Exercise: Creating and Running Tests
Introduction to Data Science for Python
Course: 1 Hour, 39 Minutes
- Course Introduction
- Introduction to Anaconda
- Introduction to Jupyter/IPython
- Working with Jupyter/IPython
- Introduction to NumPy
- Working with NumPy Arrays
- Introduction to Pandas
- Data Manipulation with Pandas
- Data Visualization with Matplotlib
- Python and SciKit-learn
- Supervised Learning with SciKit-learn
- Geospatial Analysis using ArcGIS
- Text Analytics with NLTK
- Social Network Analysis using Networkx
- The BeautifulSoup Parser for Python
- Working with PySpark for Big Data
Practice: Working with Python and Data Science
Course: 3 Minutes
- Exercise: Working with Pandas
Specificaties
Taal: Engels
Kwalificaties van de
Instructeur: Gecertificeerd
Cursusformaat en Lengte: Lesvideo's met
ondertiteling, interactieve elementen en opdrachten en testen
Lesduur: 16:37 uur
Voortgangsbewaking: Ja
Toegang tot Materiaal: 365 dagen
Technische Vereisten: Computer of mobiel
apparaat, Stabiele internetverbindingen Webbrowserzoals Chrome,
Firefox, Safari of Edge.
Support of Ondersteuning: Helpdesk en online
kennisbank 24/7
Certificering: Certificaat van deelname in
PDF formaat
Prijs en Kosten: Cursusprijs zonder extra
kosten
Annuleringsbeleid en Geld-Terug-Garantie: Wij
beoordelen dit per situatie
Award Winning E-learning: Ja
Tip! Zorg voor een rustige leeromgeving, tijd
en motivatie, audioapparatuur zoals een koptelefoon of luidsprekers
voor audio, accountinformatie zoals inloggegevens voor toegang tot
het e-learning platform.
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