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Python De Python Novice to Pythonista-reis E-Learning

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Product description
Python Programming- From Novice to Pythonista E-Learning Training Python continues to be one of the fastest-growing programming languages ​​in the market today. Because of its ease of use and numerous supporting frameworks, it is widely used in web development, writing scripts, automating tasks, data science, and even cybersecurity. Course co...

Python Programming- From Novice to Pythonista E-Learning Training

Python continues to be one of the fastest-growing programming languages ​​in the market today. Because of its ease of use and numerous supporting frameworks, it is widely used in web development, writing scripts, automating tasks, data science, and even cybersecurity.

Course content


This learning path, with more than 95 hours of online content, is divided into the following four tracks: Pythonista Track 1: Python Novice Pythonista Track 2: Python Apprentice Pythonista Track 3: Python Journeyman Pythonista Track 4: Pythonista

Track 1: Python Novice

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

Content: 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.

Final Exam assessment

Estimated duration: 90 minutes

Practice Labs: Python Novice (estimated duration: 8 hours)

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

Track 2: Python Apprentice

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

Content: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.

Final Exam assessment

Estimated duration: 90 minutes

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 Journeyman

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

Content: 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.

Final Exam assessment

Estimated duration: 90 minutes

Practice Labs: Python Journeyman (estimated duration: 8 hours)

Perform journeyman level Python development tasks such as testing with pytest, making HTTP requests, serving HTTP requests with a Flask endpoint, and rendering a jinja template. Then, test your skills by answering assessment questions after using multithreading and multiprocessing with Python, processing data in a queue and creating and executing a coroutine with Asyncio.

Track 4: Pythonista

In this track of the Pythonista journey, the focus is unit testing, developing, and debugging using the PyCharm IDE, wrangling Excel data, network programing, and hashing and encryption algorithms.

Content: E-Learning collections

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

Online Mentor

You can reach your Mentor by entering chats or submitting an email.

Final Exam assessment

Estimated duration: 90 minutes

Practice Labs: Pythonista (estimated duration: 8 hours)

Perform development tasks expected of Pythonistas such as debugging with PyCharm, working with
spreadsheet data and creating charts, and writing applications that can communicate using TPC sockets.
Then, test your skills by answering assessment questions after working with Singleton, Observer and Factory design patterns and implementing iterators using special methods.

Product specifications

Availabilty
65 Hours
Language
English
Certificate of participation
Yes
Online access
365 days

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Python De Python Novice to Pythonista-reis E-Learning
PythonDe Python Novice to Pythonista-reis E-Learning

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

€1.249,00€999,00 Excl. tax
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