How To Become A Python Developer | Python Programming Roadmap | Intellipaat
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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 \n01:08 - Why Python is the Best Programming Language for Beginners?\n02:06 - Are There Enough Jobs Available?
02:41 - Are There Enough Learning Materials Available?
02:53 - Is It Easy to Learn Python?\n03:04 - Does Python Have Extensive Use-Cases in the IT Industry Right Now?\n03:53 - Learning the Fundamentals of Python Programming Language
05:17 - Problem Solving \n06:14 - Projects \n07:50 - 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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