VISTA ACADEMY • INTERACTIVE LEARNING

Python Basics

Learn Python step by step through interactive lessons, coding examples, output prediction, debugging exercises, and practical challenges.

20 LessonsBeginnerInteractiveData Analytics Focus

What You Will Learn

This Python Basics course builds programming fundamentals before moving into specialized Python libraries such as NumPy, Pandas, Matplotlib, and Seaborn.

Python Fundamentals

Syntax, variables, data types, operators, and strings.

Data Structures

Lists, tuples, dictionaries, and sets.

Control Flow

Conditions, loops, and loop control.

Problem Solving

Functions, debugging, and practical challenges.

Python Basics — 20 Lessons

Follow the lessons in order and practice after each concept.

1

Introduction to Python

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Understand Python, print(), basic expressions, and your first program.

2

Variables & Naming Rules

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Learn variables, assignment, reassignment, and Python naming rules.

3

Data Types

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Understand integers, floats, strings, booleans, and type().

4

Numbers & Arithmetic Operations

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Practice arithmetic operators, percentages, powers, and calculations.

5

Strings & String Operations

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Work with strings, indexing, concatenation, and string expressions.

6

String Methods & Formatting

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Use common string methods and format text dynamically.

7

Lists

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Create, access, update, and work with Python lists.

8

Tuples

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Understand tuples, indexing, immutability, and practical use cases.

9

Dictionaries

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Work with key-value pairs, dictionary methods, and nested data.

10

Sets

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Learn unique collections, set operations, and data-cleaning use cases.

11

Comparison & Logical Operators

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Use comparisons, and, or, not, and compound conditions.

12

Conditional Statements — if, elif, else

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Make decisions in Python using if, elif, and else.

13

for Loops

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Repeat code with for loops, range(), lists, and strings.

14

while Loops

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Repeat code using conditions, counters, and stopping rules.

15

break, continue & pass

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Control loop execution with break, continue, and pass.

16

Functions

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Create reusable functions with parameters, arguments, and return values.

17

Function Arguments & Scope

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Understand arguments, local variables, global variables, and scope.

18

Errors, Debugging & Exception Basics

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Identify common Python errors and understand basic exception handling.

19

Working with Python Data

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Combine Python basics to inspect and process simple datasets.

20

Python Basics Final Project

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Apply Python fundamentals in a practical data-focused project.

What Comes After Python Basics?

1

Python Basics

2

NumPy

3

Pandas

4

Matplotlib

5

Seaborn