Programming Python Using an IDE

Once you have learned the foundations of Python, the next step to increase your productivity is learning how to be proficient with a development environment or IDE. This course will help you get started.

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Course Insight

Suitable for intermediate learners. Works well as a continuation after mastering Software Development fundamentals. It bridges the gap toward advanced, production-level engineering.

Intermediate FriendlySelf-Paced Learning

SKILLS TO
MASTER

Software Development Basics
Fundamental principles and concepts
Practical ApplicationTrending
Real-world project implementation
Best Practices
Industry standard workflows and guidelines
Problem Solving
Core Concepts
Implementation
Workflow Integration
Optimization
Careers:Data Scientist, Data Analyst, Machine Learning Engineer.

Quick Facts

Below sections are verified from last major sync. For real-time updates and today's latest lectures, Check official page here.

What You’ll Learn

Learning and becoming proficient with Python is one of the best decisions a coder can make. The simplicity of Python, along with the many libraries available make it one of the most productive languages you can use.

This course, Programming Python Using an IDE, will help you use an IDE to take your coding skills one level higher!

First, you will explore the selection of popular IDEs and how they can help you improve your productivity. Next, you will learn about the many features that make IDEs great for creating applications including syntax highlighting, refactoring, code checking, and more. You will also discover some other features that help you run, debug, unit test, and source control your code. Finally, you will see how some IDEs have features that are meant for scientific Python and creating data science applications.

By the end of this course, you will know and understand how IDEs can help you be a more productive developer.

See how this course curriculum compares with alternatives

Outcomes

  • Course Overview : 2mins.
  • Programming Python Using an IDE! But Why? And Which One? : 33mins.
  • Improving Your Productivity Programming in Python with an IDE : 62mins.
  • Leveraging a Python IDE for Data Science : 19mins.
  • Final Takeaway : 2mins.
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FAQs

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Programming Python Using an IDE
4(41+ learners)