Free Workshop On Python

(Workshop Date: 20^th to 25^th November 2023)

About The Program:

With the belief to build a healthy ecosystem as per the Industry Standards REGex Software brings a FREE WORKSHOP on PYTHON. We organize Python Workshop for improving the knowledge and skills of the Students/Professionals, so that they can become expert in Angular.

REGex Software Services’s “Free Workshop on Python” program is a valuable resource for beginners. This program will introduce you about Python from Basics to Advance. If you want to learn Python, REGex introduce this program for you.

Weekly Duration

12 Hours

Location

Physical (Jaipur)or Online (Google Meet)

Duration

6 Days

Timing

04:00 PM – 06:00 PM (IST)

What People Tell About Us

Best IT Training and Internship Company in Jaipur. Highly recommended. Supportive faculties, Management, online and offline sessions access with recording access help every student to concentrate more on learning. Practical Learning and working on live projects with team is a main key highlights of REGEX.

Drishti Khandelwal Ex-Student, Django Batch

The experience of learning in the Institute is really good. I've joined the MERN full stack course doing well. Thanks to the mngt. To provide certified facility. Very helping in solving my queries and Institute provide me to practical knowledge and demo project to improve my skills..... Thnks to Regex software service

Gulshan S Arya Ex-Student, Mearn Stack

This training center is exceptional, providing me with extensive knowledge in various domains and technologies. I enrolled in the Python Django course eight months ago, where I learned website development. Prior to joining this coaching, I struggled with speaking English, but now I have gained the ability to communicate effectively. My experience has been extremely positive, and I strongly recommend joining The Regex Software Services at the earliest opportunity.

Mohit Sharma Ex-Student, python django

Competitive Programming is the best course they have - i am part of both python and C++ course. Cracked several interviews with their course, poll test & assignment are always new and beneficial. Best CP course you will find here, i hope this will be beneficial for you

Yaman Singh Ex-Student, CP Batch

Tushar sir is best in delivery. His approach is mind blowing. I have not found any gap although I am from U.S Lots of Big Data tools I have learnt like Hadoop, Hive, Spark, Sqoop & most amazingly Talend ETL Tools which was the most lovely part of training. every component is told in very simple terms with great practical approach

Josh Well Ex-Student, BigData Batch

I recently joined Python Django(Web Development - Full Stack)Course About Course: - I must say instructor makes every concept simple to understand - No Copy Paste,Every line of code is explained - Even given Assignments to work on - Even given Projects to work on If you looking to learn Python Django I highly recommend to go for this course

Salman Khan Ex-Student, Django Batch

I am from UK & loved the teaching. Competitive Programming was the best experience I had in coding. I can truly say the money I spend is worth it. Go for it guys!!

Jack Ryan Ex-Student, CP Batch

What you will Learn

Basic Python syntax and programming concepts.
Data structures and control flow.
File handling and error handling.
Introduction to functions and modules.
Object-oriented programming principles.
Building simple Python applications and projects.

Study Material

E-Notes
Session Assignment
12 hours on demand sessions
Live & Interactive Sessions
Mentorship Support

Output

Able to think out of the box
Understand Concepts of Python from Basics to Advance
Able to learn Python concepts like: Basic Python Syntax, Python Operators, Python Input/Output, Python Data Types, Functions and Modules etc.
Also Learn to Host your project

Course Content

Introduction to Python

What is Python?
History and evolution of Python.
Python’s popularity and use cases.
Setting up Python (installation).
Running Python scripts and using the interactive shell.

Basic Python Syntax

Variables and data types (integers, floats, strings, booleans).
Comments in Python.
Basic arithmetic operations.
String manipulation.
Variables and naming conventions.

Control Structures

Conditional statements (if, elif, else).
Looping structures (for and while loops).
Iterating through sequences (lists, strings, dictionaries).
Range and enumeration.
Using break and continue.

Data Structures

Lists: creation, manipulation, and methods.
Tuples: creation, immutability, and uses.
Dictionaries: key-value pairs and operations.
Sets: unique elements and set operations.
List comprehensions.

Functions and Modules

Defining functions.
Function parameters and return values.
Scope and lifetime of variables.
Importing modules.
Creating and using custom modules.

File Handling

Reading from and writing to files.
Working with different file modes (read, write, append).
Using context managers with files.

Object-Oriented Programming (OOP)

Classes and objects.
Attributes and methods.
Inheritance and encapsulation.
Polymorphism and method overriding.
Constructors and destructors.

Exception Handling

Handling errors with try and except.
Raising exceptions.
Handling multiple exceptions.
Using the ‘finally’ block.

Advanced Topics

List comprehensions.
Lambda functions.
Decorators.
Generators and iterators.
Working with external libraries and APIs.

Best Practices and Coding Guidelines

PEP 8 style guide.
Code readability and maintainability.
Writing docstrings.
Version control (e.g., Git).

Practical Projects

Building simple applications.
Real-world examples.
Solving coding challenges.
Final project.

Python Ecosystem

Popular Python libraries and frameworks (e.g., NumPy, pandas, Django).
Python for web development, data science, and machine learning.
Virtual environments and package management.

Python in the Real World

Real-world case studies.
Job opportunities and career paths.
Contributing to open-source projects.
Staying up to date with Python developments.

Data Cleaning & Munging with – Python

Working with Pandas, Numpy & Matplotlib ■ Working with Missing Data ■ Data Grouping ■ Data Subsetting ■ Merging & Joining Data Frames
Importing Libraries & Datasets
Munging & handling missing data
Splitting the dataset into Training set & Test set