Python Novice to Pythonista - Part 1 Python Novice

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duration: 35 hours |

Language: English (US) |

access duration: 180 days |

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Details

This is part 1 of the Python Novice to Pythonista learning path. Python continues to be one of the fastest-growing programming languages on the market today. Because of its ease of use and many supporting frameworks, Python is widely used in web development, scriptwriting, task automation, data science, and even cybersecurity. In this learning path, you will explore the different stages required to become a Pythonista.

In this part of the learning path, the focus is on an introduction to Python. You explore complex data types, conditional statements and loops, and you get to work with Python functions.

You'll find several training courses that prepare you to become a Python Nocive. In addition, there is a livelab available for you to practice. You finish this part with an exam.

Result

After completing this part of the learning path, you will be familiar with the basic principles and functions of Python. In addition, you are ready to start with part 2 of this learning path.

Prerequisites

You are familiar with the basic principles of software development.

Target audience

Software Developer, Web Developer

Content

Python Novice to Pythonista - Part 1 Python Novice

35 hours

Getting Started with Python: Introduction

In this course, you will get started with Python, by installing and getting started with the software, as well as writing your first meaningful program and exploring important language constructs.

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

Learn to work with lists, tuples, and strings in Python. You will see the similarities and differences between tuples and lists and see how strings are essentially just a list of characters.

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

Learn about dictionary data type in Python. Dictionaries are associative containers used to store key-value pairs. Given a key, finding the associated value is optimized by Python to be extremely efficient.

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

Learn about copying operations on containers in Python. You will learn the subtle distinction between shallow and deep copies. Changes made to shallow copies affect the original whereas with deep copies do not.

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

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

Conditional Statements & Loops: The Basics of for Loops 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: Advanced Operations Using for Loops in Python

Conditional Statements & Loops: While Loops in Python

Conditional Statements & Loops: While Loops in Python

Functions in Python: Introduction

Functions in Python: Introduction

Functions in Python: Gaining a Deeper Understanding of Python Functions

Functions in Python: Gaining a Deeper Understanding of Python Functions

Functions in Python: Working with Advanced Features of Python Functions

Explore advanced Python function topics such as recursion, closures, using generator functions to generate sequences, and using decorators to add functionality to code.

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
  • This lab is part of the Python Novice track of the Skillsoft Aspire Python Novice to Pythonista journey.

Final Exam: Python Novice

  • Final Exam: Python Novice will test your knowledge and
  • application of the topics presented throughout the Python Novice
  • track of the Skillsoft Aspire Python Novice to Pythonista Journey.
  • Learners seeking to test their knowledge and application of Python
  • Novice skills and those seeking to complete the Python Novice track
  • of the Skillsoft Aspire Python Novice to Pythonista Journey.

Course options

We offer several optional training products to enhance your learning experience. If you are planning to use our training course in preperation for an official exam then whe highly recommend using these optional training products to ensure an optimal learning experience. Sometimes there is only a practice exam or/and practice lab available.

Optional practice exam (trial exam)

To supplement this training course you may add a special practice exam. This practice exam comprises a number of trial exams which are very similar to the real exam, both in terms of form and content. This is the ultimate way to test whether you are ready for the exam. 

Optional practice lab

To supplement this training course you may add a special practice lab. You perform the tasks on real hardware and/or software applicable to your Lab. The labs are fully hosted in our cloud. The only thing you need to use our practice labs is a web browser. In the LiveLab environment you will find exercises which you can start immediatelyThe lab enviromentconsist of complete networks containing for example, clients, servers,etc. This is the ultimate way to gain extensive hands-on experience. 

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