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"Unlock the power of Python: From beginner to coding pro, master the language that drives web development, data analytics, and
This is the best chance to learn Python from Scratch. Our Python Certification Course is perfect for beginners and professionals looking to improve their skills. You will learn
The course also covers advanced topics like file handling, databases, and automation. With hands-on exercises on real-world projects, you will gain practical experience in coding. Whether you want to build applications, analyze data, or automate tasks, this course will help you achieve your goals.
Join now and become a certified Python programmer with expert guidance and industry-relevant training.
Key Features of Our Python Course
Python Live Project Training where you work on real-world projects to apply Python coding skills effectively.
With Python Interview Preparation get expert guidance and practice questions to ace Python job interviews confidently.
In Python Practical Training,learn hands-on coding through exercises, assignments, and industry-relevant case studies.
With Python Course Online,access flexible online training with expert-led sessions and interactive learning modules.
With Python Programming for Beginners start from scratch and build a strong foundation in Python.
What You Will Learn in Our Python Course?
We cover many aspects in this course. Here are a few details about the same.
Python Programming
Learn the Pythonfundamentals. Itincludes syntax, data types, loops, and functions.
Python for Automation Testing
Automate software testing with Selenium and Python for faster and more accurate testing.
Python for ETL Testing
Extract, transform, and load data using Python scripts for seamless data processing.
Python for Machine Learning
Understand machine learning algorithms and implement AI models using Python frameworks like TensorFlow
Python for Software Testing
Write test cases and perform unit testing to ensure software reliability and performance.
Advanced Python Concepts
Learn OOP, multithreading, and database connectivity for real-world application development.
Python for Data Science
Use Python libraries like Pandas and NumPy to analyze and visualize data efficiently.
Contact us now.
1.1 What is Python? |
1.1 What is Python? |
1.3 Installing Python |
1.4 Running Python Programs |
2.1 Variables |
2.2 Numeric Data Types |
2.3 String Data Type |
2.4 Boolean Data Type |
2.5 Working with Lists |
2.6 Working with Tuples |
2.7 Working with Dictionaries |
3.1 Conditional Statements |
3.2 Loops |
3.3 Break and Continue Statements |
4.1 Introduction to Functions |
4.2 Function Parameters |
4.3 Return Statement |
4.4 Recursive Functions |
5.1 Opening and Closing Files |
5.2 Reading and Writing Files |
5.3 File Modes |
5.4 File Handling Best Practices |
6.1 What are Exceptions? |
6.2 Handling Exceptions |
6.3 Raising Exceptions |
er 7.1 Working with Modules |
7.2 Creating and Using Packages |
7.3 Exploring Standard Library |
8.1 Introduction to OOP |
8.2 Classes and Objects |
8.3 Inheritance |
8.4 Polymorphism |
8.5 Encapsulation |
9.1 Decorators |
9.2 Generators |
9.3 Context Managers |
9.4 Regular Expressions |
10.1 Building a Web Scraper |
10.2 Creating a GUI Application |
10.3 Developing a Data Analysis Program |
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