About Python Programming Course in Eddoc Technologies

Python is one of the most versatile and in-demand programming languages today. Whether you're a beginner or an experienced developer, our Python programming course is designed to help you master the skills needed to excel in software development, data science, web development, and more. At Eddoc Technology, we offer hands-on training with real-world projects to ensure you gain practical knowledge and expertise

Key Features of PYTHON PROGRAMMING

50+ live sessions spread around seven months

Hands-On Projects with Real-World Datasets

Expert Instructors with Industry Experience

Practical Experience with Popular ML Tools and Frameworks

Resume Preparation and LinkedIn Profile Review

Career Guidance and Placement Assistance

COURSE CURRICULUM

Module 1: Introduction to Python

• Overview of Python and its Features
➤ Installation and Setup
➤ Python on Windows/Linux/Mac
➤ Setting up Python IDEs (PyCharm, Jupyter Notebook, VS Code)
• Writing and Running Your First Python Program
• Understanding Python's Syntax and Indentation
• Comparison with Other Programming Languages

Module 2: Python Basics

• Variables and Data Types
• Basic Input/Output Operations
• Operators in Python
➤ Arithmetic, Logical, Relational, etc.
• Conditional Statements
➤ if, else, elif
• Loops
➤ for, while, and nested loops
• Break, Continue, and Pass Statements

Module 3: Data Structures and Collections

• Lists
➤ Operations on Lists (Add, Remove, Update)
➤ List Comprehensions
• Tuples
➤ Immutable Collections
➤ Tuple Packing and Unpacking
• Dictionaries
➤ Key-Value Pair Operations
➤ Iterating through Dictionaries
• Sets
➤ Set Operations
➤ Applications of Sets
• Strings
➤ String Manipulation Techniques
➤ Formatting Strings

Module 4: Functions and Modules

• Defining and Calling Functions
• Arguments and Return Values
• Lambda and Anonymous Functions
• Recursive Functions
• Understanding Python Modules
➤ Importing and Using Modules
➤ Creating Custom Modules
➤ Exploring Built-in Modules (os, sys, math, random)

Module 5: File Handling

• File Modes and Operations
➤ Reading, Writing, Appending
• Working with Text and Binary Files
• Handling CSV Files
• Reading and Writing JSON
• File and Directory Management using os and shutil

Module 6: Object-Oriented Programming (OOP)

• Principles of OOP
➤ Classes and Objects
• Defining and Using Classes
• Constructors and Destructors
• Encapsulation, Inheritance, and Polymorphism
• Operator Overloading
• Magic Methods (__init__, str, repr, etc.)

Module 7: Exception Handling

• Types of Errors
• try, except, else, and finally Blocks
• Raising Exceptions
• Creating and Using Custom Exceptions

Module 8: Advanced Python Concepts

• Decorators and Generators
• Context Managers (with statement)
• Regular Expressions (Regex)
• Multithreading and Multiprocessing
• Understanding Python's Memory Management

Module 9: Database Interaction

• Introduction to Databases
• Using SQLite with Python
• Working with MySQL/PostgreSQL
• Performing CRUD Operations
• Using ORMs (SQLAlchemy/Django ORM)

Module 10: Data Analysis and Visualization

• Introduction to NumPy
➤ Arrays and Matrix Operations
• Data Manipulation with Pandas
➤ DataFrames, Series, and Indexing
• Data Visualization with Matplotlib and Seaborn
➤ Plotting Graphs, Charts, and Heatmaps
• Overview of Data Science Libraries

Module 11: Web Development with Python

• Introduction to Flask Framework
➤ Building REST APIs
➤ Connecting Flask with Databases
• Introduction to Django Framework
➤ Setting up a Django Project
➤ Developing Web Applications

Module 12: Automation and Scripting

• Automating Tasks using Python
• Web Scraping
➤ Beautiful Soup
➤ Selenium
• Working with APIs
➤ Consuming REST APIs
➤ Sending HTTP Requests

Module 13: Testing and Debugging

• Understanding Unit Testing
• Writing Test Cases with unittest Framework
• Debugging Techniques and Tools
• Using Debuggers in Python IDEs

Module 14: Capstone Project

• Building a Real-World Application
➤ Options include: E-commerce App, Library Management System, Data Dashboard, etc.
• Step-by-step guidance on implementing the project
• Demonstrating best practices in coding, debugging, and deployment

📞FOR ENQUIRY

Our Career Services

More than 100 employer partners and a committed recruiting team work together to provide you with a variety of possibilities.

Connect with our large Eddoc student community to exchange employment opportunities

Practice simulated interviews with professionals in the field.

Use our experienced professionals to optimize your LinkedIn profile and resume.

We not only help you get ready for the job, but we also help you get ready for your search and interviews

Looking for In-Depth Syllabus Information

"Code, Automate, Innovate: Python Awaits Your Command!"

Online Learning with Weekdays / Weekend

Live Classes & Mentoring Sessions

FAQs - Python Programming Training at Eddoc Technology

1. What is the duration of the Python Programming course?

The Python programming course typically runs for 6 to 10 weeks, depending on whether you choose a weekday or weekend batch.

2. Do I need any prior programming experience to join this course?

No, this course is designed for beginners. We start with the basics and gradually move to advanced topics. Prior knowledge of programming is not required.

3. What topics are covered in the Python course?

Our course covers:

• Python basics: Syntax, variables, and data types

• Control structures and loops

• Functions and modules

• Object-Oriented Programming (OOP)

• Working with files and exceptions

• Data analysis with Pandas and NumPy

• Database connectivity

• Web development with Flask/Django

• Real-world projects

4. Will I receive a certificate after completing the course?

Yes, you will receive a certificate of completion from Eddoc Technology, showcasing your skills in Python programming.

5. What job roles can I pursue after completing this course?

Completing this course can prepare you for roles like:

• Python Developer

• Data Analyst

• Web Developer

• Machine Learning Engineer (with additional skills)

• Software Engineer

6. Does this course include hands-on projects?

Yes, our training is project-focused. You will work on real-world projects like:

• Developing a web application

• Automating tasks with Python

• Data analysis and visualization

• Building APIs using Flask or Django

7. Can I join the course online?

Yes, we offer both online and offline options to accommodate your learning preferences and schedule.

8. What are the system requirements for the course?

You’ll need:

• A laptop or desktop with at least 4GB RAM

• A stable internet connection (for online learning)

• Python (we’ll guide you through the installation process)

9. What if I miss a class?

We provide recorded sessions for all classes, so you can catch up anytime. Additionally, you can request one-on-one doubt-clearing sessions with our trainers.

10. Do you offer placement assistance?

Yes, we provide job placement support, which includes:

• Resume building

• Mock interviews

• Connections with hiring partners

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