100 days python roadmap

Publié le: 07 décembre 2023
sur la chaîne: Coding Maker

basic Python roadmap for the first 100 days

Days 1-20: Getting Started
1. Days 1-5: Introduction to Python
Install Python and set up your development environment.
Learn basic syntax, variables, and data types.

2. Days 6-10: Control Flow
Understand if statements, loops, and basic control structures.
Practice writing simple programs.

3. Days 11-15: Functions and Modules
Learn how to define functions.
Explore built-in modules and how to use them.

4. Days 16-20: Data Structures (Part 1)
Study lists and tuples.
Understand basic operations on these data structures.

Days 21-40: Deepening Knowledge

1. Days 21-25: More Data Structures
Dive into dictionaries and sets.
Learn about their use cases and advantages.

2. Days 26-30: File Handling
Explore reading from and writing to files.
Learn about different file formats (text, CSV, JSON).

3. Days 31-40: Object-Oriented Programming (OOP)
Understand classes and objects.
Learn about inheritance, encapsulation, and polymorphism.

Days 41-60: Intermediate Concepts

1. Days 41-50: Exception Handling

Learn how to handle errors gracefully.
Understand try, except, and finally blocks.

2. Days 51-55: Regular Expressions

Study regular expressions for pattern matching.
Learn to use the `re` module.

3. Days 56-60: Web Development Basics

Explore web frameworks like Flask or Django.
Build a simple web application.

Days 61-80: Advanced Topics

1. Days 61-70: Database Interaction
Learn to connect to and query databases (e.g., SQLite, MySQL).
Understand Object-Relational Mapping (ORM) with tools like SQLAlchemy.

2. Days 71-75: APIs and Web Services
Understand how to consume and interact with APIs.
Practice making requests using libraries like `requests`.

3. Days 76-80: Testing and Debugging
Explore unit testing and debugging techniques.
Learn to use debugging tools.

Days 81-100: Specialization and Projects

1. Days 81-90: Choose a Specialization
Explore areas like data science, machine learning, or automation.
Learn libraries relevant to your chosen specialization (e.g., NumPy, pandas, scikit-learn).

2. Days 91-95: Build a Project
Apply your knowledge to a real-world project.
Practice problem-solving and code organization.

3. Days 96-100: Review and Refine
Reflect on your progress.
Refine your understanding of areas where you feel less confident.
Explore advanced topics based on your interests.

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