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Learning Path: Python: Guide to Become a Python Professional

Features Includes:
  • Self-paced with Life Time Access
  • Certificate on Completion
  • Access on Android and iOS App

Course Preview Video

Description

Learn to efficiently build and test applications in a modern way

If you are looking for a complete course on Python programming, then go for this Learning Path. Python is the preferred choice of developers, engineers, data scientists, and hobbyists everywhere. It is a great scripting language that can power your applications and provide speed, safety, and scalability.

We will begin this learning journey by understanding the basic concepts of Python such as statements and syntax along with using numbers, strings, and tuples. We will then explore various function definition techniques along with learning the basics of classes and objects.

Going ahead, we will understand the intermediate concepts such as functional and reactive programming in Python. We will also explore statistical programming and regression.

Next, you will uncover the advanced topics in Python, will learn to implement real-world test cases to your programs along with integrating different applications.

By the end of this Video Learning Path, you will become proficient in Python.  

If you are looking for a complete course on Python programming, then go for this Learning Path. Python is the preferred choice of developers, engineers, data scientists, and hobbyists everywhere. It is a great scripting language that can power your applications and provide speed, safety, and scalability.

We will begin this learning journey by understanding the basic concepts of Python such as statements and syntax along with using numbers, strings, and tuples. We will then explore various function definition techniques along with learning the basics of classes and objects.

Going ahead, we will understand the intermediate concepts such as functional and reactive programming in Python. We will also explore statistical programming and regression.

Next, you will uncover the advanced topics in Python, will learn to implement real-world test cases to your programs along with integrating different applications.

By the end of this Video Learning Path, you will become proficient in Python.  

About the Author:

For this course, we have combined the best works of this esteemed author:

  • Steven F. Lott has been programming since the 70s, when computers were large, expensive, and rare. As a contract software developer and architect, he has worked on hundreds of projects, from very small to very large. He's been using Python to solve business problems for over 10 years. He’s currently leveraging Python to implement microservices and ETL pipelines. His other titles with Packt Publishing include Python Essentials, Mastering Object-Oriented Python, Functional Python Programming, and Python for Secret Agents. Steven is currently a technomad who lives in various places on the east coast of the U.S. His technology blog is http://slott-softwarearchitect.blogspot.com and his LinkedIn address is https://www.linkedin.com/in/steven-lott-029835
  • Daniel Arbuckle gained his PhD in Computer Science from the University of Southern California. He has published numerous papers along with several books and video courses, and he is both a teacher of computer science and a professional programmer.

Basic knowledge
  • Basic programming knowledge is needed

What will you learn
  • See the intricate details of the Python syntax and how to use it to your advantage
  • Learn to manipulate data effectively using built-in data structures
  • Get acquainted with advanced programming techniques in Python
  • Equip yourself with functional and statistical programming features
  • Take advantage of Python's metaprogramming and programmable syntax features
  • Understand how to handle high I/O loads with asynchronous I/O to get a smoother performance
  • Get familiar with Python’s metaprogramming and programmable syntax features
  • Learn the concepts of reactive programming and RxPy
Course Curriculum
Number of Lectures: 167 Total Duration: 19:11:36
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