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Python Bootcamp + Replit Python Programming Beginner Tutorial
Master Python fundamentals in a day using Replit—string, list, dict, file I/O, and real-world data analysis with hands-on exercises.
4.2
55 Ratings
10,299 Enrolled
Created By Paul Ashun
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Course speifications
1.5 Hours
33 Files
Lifetime/ Unlimited
Certificate of completion
Created on Dec.5.2024
10 downloadable resources
Last Updated 12.Apr.2025
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Course description
What You’ll Learn
- Core Python mastery: understand variables, strings, lists, dictionaries, sets, functions, and more.
- Rapid setup: install Python locally and use Replit online IDE to start coding instantly.
- Data processing: load, clean, and transform real-world datasets—build an Olympics medals table in under a day.
- Problem solving: apply Python to tackle concrete customer scenarios and boost your developer confidence.
- File handling & errors: read/write files safely and handle exceptions like a pro.
- Data analysis: leverage Python’s built-in tools to explore and visualize real data sources.
- No prerequisites: start from zero and follow step-by-step exercises to fluently write Python code.
Requirements
- No prior programming experience—everything is covered from the ground up.
- A computer or tablet with internet access to use Replit’s online IDE.
- Desire to write high-quality Python code for developer roles or professional certifications.
- Interest in refreshing fundamentals or preparing for a Python certification/exam.
Description
Jump into Python with this concise, confidence-building bootcamp. In one day, you’ll go from zero to writing real Python scripts that process data, handle files, and solve practical problems. Using Replit’s online IDE, you’ll learn how to:
- Set up your Python environment instantly—no complex installs.
- Work with data types: strings, lists, tuples, dictionaries, sets, and arrays.
- Build functions and modules to organize your code effectively.
- Read, write, and manipulate files while handling errors gracefully.
- Analyze real-world datasets—create an interactive Olympics medals table.
- Practice with hands-on exercises that test your understanding.
Whether you’re aiming for a new developer role, brushing up on basics, or gearing up for a Python certification, this course delivers a complete overview of Python fundamentals—backed by a certificate of completion and direct instructor Q&A. By the end, you’ll confidently apply Python in real job scenarios and have the skills to tackle any beginner-to-intermediate coding challenge.
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Course content web
15 sections | 157 lectures | 3:58 total length
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all sections
Section 1 - Introduction
5 part
1.2 - Introduction
1.1 - Welcome to Python Programming for Beginners+Python Bootcamp In a day training
0.11 MB
1.3 - Introduction To Python - Learning Objectives
1.4 - What is Python
1.5 - The Example - Python
Section 2 - Getting Set Up
9 part
2.1 - Learning Objectives - Getting Set
2.2 - What is Replit
0.18 MB
2.3 - How to Get Started with Replit
2.4 - Create Your Repl.it Account
0.13 MB
2.5 - Writing Your First Python Program - Hello World
2.6 - How to Work with Exercises
2.6b UPDATE Replit Changes September 2024
0.03 MB
2.7 - [Interactive Coding Exercise] Running Python Scripts
0.05 MB
2.8 - Alternatives to Replit
0.15 MB
Section 3 - Storing Information
10 part
3.1 - Learning Objectives - Storing Information
3.2 - Objects and Variables
3.3 - [Interactive Coding Exercise] Objects and Variables
0.05 MB
3.4 - Variable Names
3.5 - [Interactive Coding Exercise] Variable Names
0.05 MB
3.6 - Numbers
3.6 - PYTHON Chapter 3.5 - Showing Output When Running Python
3.7 - [Interactive Coding Exercise] Numbers
0.05 MB
3.8 - Strings
3.9 - [Interactive Coding Exercise] Strings
0.05 MB
Section 4 - Processing Information
22 part
4.1 - Learning Objectives - Processing Information
4.2 - Processing Information
4.3 - [Interactive Coding Exercise] Processing Information
0.05 MB
4.4 - Indexing
4.5 - [Interactive Coding Exercise] Indexing
0.05 MB
4.7 - Slices
4.8 - [Interactive Coding Exercise] Slices
0.05 MB
4.9 - Strings.mp4
4.10 - [Interactive Coding Exercise] String Functions
0.05 MB
4.11 - Commonly Used String Methods
0.23 MB
4.11 - PYTHON Chapter 4.4 - The input function
4.12 - [Interactive Coding Exercise] The 'input' Function
0.05 MB
4.13 - More String Operations
4.14 - [Interactive Coding Exercise] More String Operations
0.05 MB
4.15 - Converting Between Different Types
4.16 - [Interactive Coding Exercise] Strip ()
0.05 MB
4.17 - [Interactive Coding Exercise] Split ()
0.05 MB
4.18 - [Interactive Coding Exercise] Converting Between Different Types
0.05 MB
4.19 - Mathematical Operations and Precedence Order
0.18 MB
4.20 - Short Hand (in place) Operations
0.15 MB
4.21 - Mathematical Functions
0.21 MB
4.22 - Getting Help
0.18 MB
Section 5 - Comparing Information
4 part
5.1 - Learning Objectives - Comparing Information
5.2 - Comparing Information
5.3 - Comparing Information
0.23 MB
5.4 - [Interactive Coding Exercise] Comparing Information
0.05 MB
Section 6 - Tidying Messy Data
4 part
6.1 - Learning Objectives - Tidying Messy Data
6.2 - Tidying Messy Data
6.3 - [Interactive Coding Exercise] Tidying Messy Data
0.05 MB
6.3 - Nested If Blocks
0.37 MB
Section 7 - Storing Multiple Things
20 part
7.1 - Learning Objectives - Storing Multiple Things
7.2 - Larger Pieces Of Code
0.10 MB
7.3 - Storing Multiple Things
7.4 - Introducing Python Lists
7.5 - [Interactive Coding Exercise] Introducing Python Lists
0.05 MB
7.5 - Adding Items To A List
7.6 - Indexing And Slicing Lists
7.7 - [Interactive Coding Exercise] Adding Items To A List
0.05 MB
7.7 - Deleting Items In A List
7.8 - Tuples
7.8.1 - [Interactive Coding Exercise] Tuples
0.05 MB
7.9 - [Interactive Coding Exercise] Indexing And Slicing Lists
0.06 MB
7.9 - Long Lines In Python
7.10 - Dictionaries
7.10.1 - [Interactive Coding Exercise] Dictionaries
0.05 MB
7.11 - [Interactive Coding Exercise] Deleting Items In A List
0.05 MB
7.11 - List Functions - More Ways To Work With Lists
7.11.1 - [Interactive Coding Exercise] List Functions - More Ways To Work With Lists
0.05 MB
7.12 - Sets
7.12.1 - [Interactive Coding Exercise] Sets
0.05 MB
Section 8 - Processing Collections
9 part
8.1 - Learning Objectives - Processing Collections
8.2 - Processing Collections
8.3 - [Interactive Coding Exercise] A Simple 'for' Loop
0.05 MB
8.3 - More Complex for loops - break, continue and else
8.3.1 - [Interactive Coding Exercise] break, continue and else
0.06 MB
8.4 - The range Function - How To Create A List Of Numbers
8.4.1 - [Interactive Coding Exercise]The range function
0.05 MB
8.5 - The while loop - Do Something For A While
8.5.1 - [Interactive Coding Exercise]The while loop - Do Something For A While
0.06 MB
Section 9 - Robust Programs - Handling Errors
11 part
9.1 - Learning Objectives - Robust Programs
9.2 - Robust Programs - Handling Errors
9.3 - Look Before You Leap
9.4 - [Interactive Coding Exercise] Look Before You Leap
0.05 MB
9.4 - The Try And Except Block
9.4.1 - [Interactive Coding Exercise]The Try and Except Block
0.05 MB
9.5 - The Catch All Block FULL VIDEO
9.5.1 - [Interactive Coding Exercise] The Catch All Block
0.05 MB
9.6 - Your Sample Data and Scripts
0.45 MB
9.7 - The Finally Block (Part 1)
9.8 - The Finally Block
Section 10 - Saving The Results - Working With Files
10 part
10.1 - Learning Objectives - Saving The Results - Working With Files
10.2 - Adding Bad Data
10.3 - Saving The Results - Working With Files
10.4 - [Interactive Coding Exercise] Saving The Results - Working With Files
0.06 MB
10.4 - Binary File Modes
10.5 - Text File Modes
10.6 - About Text File Modes
0.09 MB
10.7 - [Interactive Coding Exercise] Text File Modes
0.05 MB
10.7 - PYTHON Chapter 10.3 - The With Statement
10.10 - [Interactive Coding Exercise] The With Statement
0.05 MB
Section 11 - Breaking Up Larger Programs, Part 1
19 part
11.1 - Breaking Up Larger Programs - Part 1
11.2 - About Replit.config
11.3 - Breaking Up Larger Programs
0.19 MB
11.4 - Functions
11.5 - [Interactive Coding Exercise] Functions
0.05 MB
11.5 - Function Parameters
11.6 - Local Versus Global Variables
11.7 - [Interactive Coding Exercise] Function Parameters
0.05 MB
11.7 - About Local Versus Global Variables
0.20 MB
11.8 - Positional And Keyword Parameters
11.8.1 - [Interactive Coding Exercise] Positional And Keyword Parameters
0.05 MB
11.9 - Return Statement
11.9.1 - [Interactive Coding Exercise] Return Statement
0.06 MB
11.10 - [Interactive Coding Exercise] Local Versus Global Variables
0.05 MB
11.10 - About Working With JSON
0.17 MB
11.11 - Working With JSON
11.11.1 - [Interactive Coding Exercise] Working With JSON
0.05 MB
11.12 - Code Comments And Clear Code
11.12.1 - [Interactive Coding Exercise] Code Comments And Clear Code
0.05 MB
Section 12 - Summarising And Presenting The Results
10 part
12.1 - Learning Objectives - Summarising and Presenting the Results
12.2 - About Summarising and Presenting the Results
0.12 MB
12.3 - Summarising And Presenting The Results Part 1
12.4 - Cleaning the Data
12.5 - Summarising And Presenting The Results Part 2
12.6 - [Interactive Coding Exercise] Summarising And Presenting The Results Part 2
0.06 MB
12.6 - More Numeric Functions - min,max,sum
12.6.1 - [Interactive Coding Exercise] More Numeric Functions - Min, Max, Sum
0.05 MB
12.7 - Formatted Strings, F-Strings
12.7.1 - [Interactive Coding Exercise] Formatted Strings, f-strings
0.05 MB
Section 13 - Breaking Up Larger Programs, Part 2
10 part
13.1 - Breaking Up Larger Programs - Part 2
13.2 - About Breaking Up Larger Programs - Part 2
0.15 MB
13.3 - Splitting Code Into Modules
13.4 - Namespaces
13.5 - About Namespaces
0.17 MB
13.6 - [Interactive Coding Exercise] Namespaces
0.05 MB
13.6 - About medals_by_country_and_type
0.18 MB
13.7 - Using Our Modules
13.9 - [Interactive Coding Exercise] Using Our Modules
0.06 MB
14. Congratulations
0.02 MB
Section 14 - OPTIONAL - Getting Set Up On a PC or MAC
12 part
14.1 - Getting Set Up On a PC or MAC
14.2 - Getting Set Up
14.3 - Starting Python on Windows 10
14.4 - Starting a Terminal on Mac OS
0.10 MB
14.5 - Starting Python on Mac OS
0.15 MB
14.6 - Starting a terminal or command prompt on Windows
14.7 - Installing Python On Windows
14.8 - Installing Python On MacOS
14.9 - Quick Python test - running Python
14.10 - Python scripts and IDLE
14.11 - Code Editors And IDEs
14.12 - Running Python scripts
Section 15 - Supporting Files
2 part
python-medals-table
0.13 MB
results
0.13 MB
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