How to get job as python fresher?

1. Get Your Python Fundamentals Strong
You should have a clear understanding of Python syntax, statements, variables & operators, control structures, functions & modules, OOP concepts, exception handling, and various other concepts before going out for a Python interview.

2. Learn Python Frameworks
As a beginner, you’re recommended to start with Django as it is considered the standard framework for Python by many developers. An adequate amount of experience with frameworks will not only help you to dive deeper into the Python world but will also help you to stand out among other Python freshers.

3. Build Some Relevant Projects
You can start it by building several minor projects such as Number guessing game, Hangman Game, Website Blocker, and many others. Also, you can opt to build few advanced-level projects once you’ll learn several Python web frameworks and other trending technologies.

@crackingthecodinginterview

4. Get Exposure to Trending Technologies Using Python.
Python is being used with almost every latest tech trend whether it be Artificial Intelligence, Internet of Things (IOT), Cloud Computing, or any other. And getting exposure to these upcoming technologies using Python will not only make you industry-ready but will also give you an edge over others during a career opportunity.

5. Do an Internship & Grow Your Network.
You need to connect with those professionals who are already working in the same industry in which you are aspiring to get into such as Data Science, Machine learning, Web Development, etc.

Python Interview Q&A: https://topmate.io/coding/898340

Like for more ❤️

ENJOY LEARNING 👍👍

📌 Python Cheatsheet: Master the Foundations & Beyond
Start learning Python →

⬇️ Core Python Building Blocks

Basic Commands
→ print() – Display output
→ input() – Get user input
→ len() – Get length of a data structure
→ type() – Get variable type
→ range() – Generate a sequence
→ help() – Get documentation

Data Types
→ int, float, bool, str – Numbers & text
→ list, tuple, dict, set – Data collections

Control Structures
→ if / elif / else – Conditional logic
→ for, while – Loops
→ break, continue, pass – Loop control

⬇️ Advanced Concepts

Functions & Classes
→ def, return, lambda – Define functions
→ class, init, self – Object-oriented programming

Modules
→ import, from ... import – Reuse code

⬇️ Special Tools

Exception Handling
→ try, except, finally, raise – Handle errors

File Handling
→ open(), read(), write(), close() – Manage files

Decorators & Generators
→ @decorator, yield – Extend or pause functions

List Comprehension
→ [x for x in list if condition] – Create lists efficiently


Like for more ❤️