Python Summer Internship & Training Program 2024

(Batches Start from June & July 2024)

About The Program

With the belief to build a healthy ecosystem as per the Industry Standards REGex Software brings a Training/Internship Program on “Python”. We organize Python Program for improving the knowledge and skills of the Students/Professionals, so that they can become specialized in the field of Python.

REGex Software Services’s “Python” program is a valuable resource for beginners and experts. This program will introduce you to Linux, Git, Python and its libraries etc. from Basics to Advance. If you want to take first step towards Data Analyst, REGex introduce this program for you.

June Batches Dates

Batch 1: 07th June 2024
Batch 2: 17th June 2024
Batch 3: 24th June 2024

July Batches Dates

Batch 1: 01st July 2024
Batch 2: 08th July 2024
Batch 3: 19th July 2024
Batch 4: 26th July 2024

Weekly Duration

20 Hours Per week


Physical (Jaipur)
Online (Google Meet)


15 Days


20 – 25 per Batch

Study Material

  • E-Notes
  • Assignments & Poll test
  • 30+ hours on demand Live Video Lectures
  • Access of Recordings & Study Material
  • Mentorship Support
  • Work on multiple data sets
  • Work on Real Time Projects or Use Cases


  • Able to think out of the box.
  • Learn Linux & GIT from basics.
  • Have a strong foundation in Python programming.

  • Be proficient in using NumPy for numerical operations.

  • Be skilled in data manipulation and analysis with Pandas.

  • Be capable of creating various data visualizations using Matplotlib.

  • Complete a hands-on project that demonstrates their data analysis skills.

Why Choose Us

Live Sessions

Live Sessions by Expertise Trainers and Access of Recorded Session is also available.

Live Projects
Get a chance to work on Industry Oriented Projects to implement your learning.
24*7 Support
24*7 Mentorship Support available for all Students to clear all of your doubts.
REGex provides Internship / Job opportunities to the best Students in different Companies.

Placed Students//Partnership

What People Tell About Us

Placed Students

Course Content

  1. Introduction to Linux (2 hours)
  •    Overview of Linux operating system
  •    Understanding different Linux distributions
  •    Setting up a Linux environment (installation and configuration)
  1. Linux Command Line Basics (3 hours)
  •    Navigating the file system (ls, cd, pwd)
  •    File and directory operations (cp, mv, rm, mkdir)
  •    Viewing and editing files (cat, less, nano, vi)
  1. File Permissions and Management (2 hours)
  •    Understanding file permissions and ownership
  •    Changing permissions and ownership (chmod, chown)
  •    Managing file links (hard and symbolic links)
  1. Networking and System Monitoring (2 hours)
  •    Basic networking commands (ifconfig, ping, netstat)
  •    Monitoring system performance (df, du, free, uptime)
  •    Disk and memory usage analysis
  1. Package Management (2 hours)
  •    Installing and managing software packages (apt, yum)
  •    Updating and upgrading software
  •    Removing unwanted packages
  1. Introduction to Git & Github
  •  Overview of version control systems
  • Understanding Git and its benefits
  •  Setting up Git and configuring user information
  1. Basic Git Operations
  • Initializing a Git repository
  • Cloning existing repositories
  • Understanding and using Git commands (add, commit, status)
  1. Branching and Merging in Git
  • Creating and managing branches
  • Creating and managing branches
  • Understanding rebase and its use cases
  1. Collaborating with Git
  • Working with remote repositories (push, pull, fetch)
  • Collaborating using GitHub/GitLab
  • Handling pull requests and code reviews
  • 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.
  • Variables and data types (integers, floats, strings, booleans).
  • Comments in Python.
  • Basic arithmetic operations.
  • String manipulation.
  • Variables and naming conventions.
  • Conditional statements (if, elif, else).
  • Looping structures (for and while loops).
  • Iterating through sequences (lists, strings, dictionaries).
  • Range and enumeration.
  • Using break and continue.
  • Defining functions.
  • Function parameters and return values.
  • Scope and lifetime of variables.
  • Importing modules.
  • Creating and using custom modules.
  • Reading from and writing to files.
  • Working with different file modes (read, write, append).
  • Using context managers with files.
  • Lists: creation, manipulation, and methods.
  • Tuples: creation, immutability, and uses.
  • Dictionaries: key-value pairs and operations.
  • Sets: unique elements and set operations.
  • List comprehensions.
  • Classes and objects.
  • Attributes and methods.
  • Inheritance and encapsulation.
  • Polymorphism and method overriding.
  • Constructors and destructors.
  • Overview of NumPy and its applications
  • Creating and manipulating NumPy arrays
  • Array operations and broadcasting
  • Mathematical functions in NumPy
  • Working with multidimensional arrays
  • Indexing, slicing, and iterating over arrays
  • Practical exercises: Numerical computations using NumPy
  • Overview of Pandas and its applications
  • Series and DataFrame data structures
  • DataFrame indexing and selection
  • Data cleaning and preparation (handling missing data, duplicates)
  • Data manipulation (filtering, sorting, grouping)
  • Merging and joining DataFrames
  • Practical exercises: Data manipulation and analysis with Pandas
  • Overview of Matplotlib and its applications
  • Basic plotting with Matplotlib
  • Customizing plots (titles, labels, legends)
  • Plotting different types of graphs (line plots, bar charts, histograms, scatter plots)
  • Subplots and multiple plots in one figure
  • Saving and exporting plots
  • Practical exercises: Creating and customizing plots with Matplotlib

Extra Sessions

Additinal Session on GIT, Linux, Docker, AWS Basics, Jenkins and many more for all students.

Fee Structure

Indian Fee (Physical)

Price: ₹6000/- (Flat 50% off) => ₹3000/-
(Limited Period Special Offer)

Indian Fee (Online)

Price: ₹6000/- (Flat 50% off) =>  ₹3000/-
(Limited Period Special Offer)

International Fee

Price: $200 (Flat 50% off) => $100
(Limited Period Special Offer)


For Frequent Course Updates and Information, Join our Telegram Group

Summer Industrial Internship/Training Program 2024

For Webinar Videos and Demo Session, Join our Youtube Channel

Enroll Now

(Batches Start from June & July 2024)

*It will help us to reach more
*Extra off is applicable on 1 time payment only. Seats can be filled or Price can be increased at any time. Refund policy is not available*