dititechnologies

Master Python Programming with Diti Technologies

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Course Highlights

200+ Hours of Classroom & Online Training

18+ Real-Life Industry Projects

3 Hands-on Capstone Projects

Job Placement Assistance

Weekend & Weekday Batches

1500+ Learners

Why Choose Diti Technologies for Python Training?

At Diti Technologies, we go beyond traditional classroom teaching to deliver an exceptional learning experience tailored to your career goals. Our Python course stands out in Hyderabad for its industry-aligned curriculum and hands-on approach. We focus on empowering students with practical skills through real-world projects and expert mentorship.

 

Our trainers are seasoned Python developers with extensive industry experience, ensuring you learn the latest tools and techniques used by top tech companies. The course is structured to provide a seamless learning journey, starting with the basics and progressing to advanced topics like machine learning and web frameworks. We also offer flexible learning options, including online, offline, and hybrid classes, to suit your schedule.

 

To support your career, we provide dedicated placement assistance, including resume-building workshops, mock interviews, and connections to leading IT firms in Hyderabad. Upon completion, you’ll receive a globally recognized Python certification, giving you a competitive edge in the job market. At Diti Technologies, we’re not just teaching Python—we’re shaping your future in tech.

 

Comprehensive Python Course Curriculum

Our Python course is meticulously crafted to cover every aspect of the language, from foundational concepts to cutting-edge applications. Below is an overview of what you’ll learn:

  • What is Python? Why Python?

  • Features and applications of Python

  • Installing Python and setting up IDEs (IDLE, VS Code, Jupyter)

  • Writing your first Python program

  • Understanding the Python interpreter and script modes

  • Strings and String Methods

  • Lists and List Methods

  • Tuples

  • Sets

  • Dictionaries

  • Comprehensions (list, dict, set)

      • if, else, elif statements

      • while loop

      • for loop

      • break, continue, pass

      • Loop control and nested loops

  • Strings and String Methods

  • Lists and List Methods

  • Tuples

  • Sets

  • Dictionaries

  • Comprehensions (list, dict, set)

  • Defining and calling functions

  • Arguments and Return values

  • Variable scope

  • Lambda functions

  • Built-in functions

  • Importing Modules and from keyword

  • math, random, and datetime modules

    • Reading and writing files (txt, csv)

    • Working with file paths

    • File methods: open(), read(), write(), close()

    • Context manager: with statement

  • Errors in Python

  • Try, Except block

  • Finally and Else

  • Raising exceptions

    • Classes and Objects

    • Constructors (__init__)

    • self keyword

    • Inheritance

    • Encapsulation

    • Polymorphism

    • super() function

  • NumPy for numerical computing

  • Pandas for data manipulation

  • Matplotlib and Seaborn for data visualization

  • requests for HTTP requests (web API interaction)

    • Mini Projects: Calculator, Quiz App, Contact Book, etc.

    • Final Project (based on learner’s interest: Data Analysis, Web Scraper, Automation Script, etc.)

  • Introduction to Web Development with Flask or Django

  • Working with APIs

  • Basic Automation using pyautogui, os, shutil

  • Git and GitHub basics for version control