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#BecomePythonDeveloper #PythonProgrammingRoadmap #PythonDeveloper #Intellipaat

Here is a step-by-step guide on How to Become a Python Developer, including the Python Programming Roadmap to acquire a JOB as a Python Developer. This video on How to become a Python Developer covers topics such as learning Python programming, improving coding skills, building a portfolio, strategies for job hunting, and so on.

Following topics are covered in this How to Become a Python Developer session:
00:00 - Introduction
01:08 - Why Python is the Best Programming Language for Beginners?
02:06 - Are There Enough Jobs Available?

02:41 - Are There Enough Learning Materials Available?

02:53 - Is It Easy to Learn Python?
03:04 - Does Python Have Extensive Use-Cases in the IT Industry Right Now?
03:53 - Learning the Fundamentals of Python Programming Language

05:17 - Problem Solving
06:14 - Projects
07:50 - Build LinkedIn Presence

How to become a Python developer?
You'll need a combination of education, research, and experience to become a Python developer. These should be among your goals: Earn a bachelor's degree in computer science, information management systems, or a related field. Master web frameworks, such as Django, HTML, and CSS and learn the Python programming language.

How can I get a job as a Python developer?
Ensure you know the Python basics: programming, libraries, frameworks, and ORM libraries.
Freelance as a Python Developer to build your portfolio.
Contribute to open-source projects on GitHub.
Start a blog documenting your projects and journey learning Python.

30-Days to Python Programming Roadmap with Data Analysis:
Day 1: Install Python and a code editor
Day 2-5: Learn Python basics (variables, data types, and basic operations).
Day 6-8: Study control flow (if statements, loops).
Day 9-10: Learn about functions and modules in Python.
Day 11-12: Explore lists, tuples, and dictionaries.
Day 13-15: Study sets and string manipulation.
Day 16-17: Get familiar with NumPy for numerical operations.
Day 18-19: Dive into Pandas for data manipulation.
Day 20: Basic data visualization with Matplotlib.
Day 21-22: Data cleaning and preprocessing using Pandas.
Day 23-25: Exploratory data analysis (EDA) techniques.
Day 26-27: Introduction to data visualization with Seaborn.
Day 28-29: Introduction to machine learning with Scikit-Learn.
Day 30: Create a small data analysis project.

️ About the Course
Python Certification Course Led by Top Industry Experts
Learn Python Libraries and Functions with our Online Training
Master Python by working on Scipy, Matplotlib, Pandas, Scikit-learn, Numpy, Web scraping libraries, and the Lambda function
Placement Assistance upon Online Python Course Completion

️Who should take this course?
️BI Managers and Project Managers
️Software Developers and ETL Professionals
️Analytics Professionals
️Big Data Professionals
️Those who wish to have a career in this course

Key Features - (Course Features)
42 Hrs Instructor Led Training
24 Hrs Self-paced Videos
50 Hrs Project & Exercises
Certification
Job Assistance
Flexible Schedule
Lifetime Free Upgrade
Mentor Support

What’s Covered in This Program? -
Python Environment Setup and Essentials
Python language Basic Constructs
OOP concepts in Python
Database Connection
NumPy for Mathematical Computing
SciPy for Scientific Computing
Matplotlib for data visualization
Pandas for Data Analysis and Machine Learning
Exception Handling
Multi-threading and Race Conditions
Packages and Functions

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Advanced Certification in Cloud Computing: https://intellipaat.com/advanced-certification-cloud-computing/
Advanced Certification in Data Science: https://intellipaat.com/advanced-certification-data-science-ai-ihub-iit-roorkee/
Advanced Certification in Full Stack Web Development: https://intellipaat.com/web-development-certification/
Advanced Certification in UI UX Design: https://intellipaat.com/UI-UX-course-iitm-pravartak/

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