Python Bootcamp: Mini-Course

Learn one of the most sort after skills of this century – Python

This course will teach you Python from scratch. In this course, you will learn Python 3, the most recent and stable version of Python. By the end of this course, you will have learned:

1. The Python Syntax – Learn how to write Python code using the Python Syntax
2. Package Management
3. Conditional Operations
4. Range & Map Functions
5. Creating Functions
6. Python Data Structures

Python is the primary language used in data science and machine learning. Therefore, it is the first thing you should add to your repertoire before diving into data science.

Unlike other programming languages, Python’s syntax is quite simple to grasp.

The most important Python concepts for data science are:

• Python variables
• Python data types
• Python operations
• Python lists
• Python decision-making statements
• Python functions
• Managing environments in Python
• Data science packages

You can install Python from the official site. However, installing the Anaconda Python distribution is a common practice when starting in data science. This is because it ships with most of the libraries you need for data science.

You can write data science code in your favorite editor. Jupyter Notebooks is a common choice among practitioners. Other environments that you can use include:

• Google Colab
• PyCharm– Also supports notebooks
• Visual studio code– Also supports notebooks
• Spyder
• Any other editor of your choice.

Enroll to start learning Python. This course is an introductory level course for someone who to explore Python before deciding to dive deeper.