The Python Developer Training course is designed to equip participants with the skills needed to excel in Python programming. Covering core concepts, data structures, libraries, and frameworks, this course offers hands-on experience through real-world projects. Ideal for beginners and intermediate learners, it ensures a strong foundation and advanced techniques for software development. Join us to unlock new career opportunities and become proficient in Python

Course image Automation using Python
TEMS_Python Developer_Training

"Automation using Python" covers the principles and practices of automating tasks using Python programming. This course focuses on writing scripts to automate repetitive tasks, improve productivity, and streamline workflows. Participants will learn to use Python libraries and tools to automate various processes, from file handling and web scraping to data processing and system operations. Practical examples and projects will help reinforce the skills needed for effective automation.

Description Points:

  1. File Handling: Automate reading, writing, and processing of files using Python's standard libraries.
  2. Web Scraping: Learn techniques for extracting data from websites using libraries like BeautifulSoup and Scrapy.
  3. Data Processing: Implement automation scripts to clean, manipulate, and analyze data efficiently.
  4. System Operations: Automate system tasks such as file organization and scheduling tasks with Python's OS and subprocess modules.
  5. Task Scheduling: Use libraries like schedule and APScheduler to create scripts that run automatically at specified intervals.

Course image Applications of Python Programming
TEMS_Python Developer_Training

The "Applications of Python Programming" course explores the diverse uses of Python in real-world scenarios. From web development and data analysis to automation and machine learning, this course provides hands-on experience in applying Python to solve practical problems. Students will gain a solid understanding of Python's versatility and its integration with various tools and frameworks.

Course Description:

  1. Web Development: Learn to build dynamic websites using Python frameworks like Django and Flask.
  2. Data Analysis: Explore data manipulation and visualization with libraries such as Pandas and Matplotlib.
  3. Automation: Discover how to automate repetitive tasks using Python scripts.
  4. Machine Learning: Understand the basics of machine learning and implement models using libraries like Scikit-Learn.
  5. Integration: Gain experience in integrating Python with other technologies and APIs to create comprehensive solutions

Course image Introduction to Python
TEMS_Python Developer_Training

"Introduction to Python" provides a comprehensive overview of Python, one of the most popular programming languages today. This course covers the basics of Python syntax, data types, control structures, functions, and libraries. Participants will engage in hands-on coding exercises to build a strong foundation in Python programming. By the end of the course, learners will be equipped with the skills needed to write basic Python programs and understand its applications in various fields.

Course Description:

  1. Python Basics: Learn the fundamentals of Python syntax and structure.
  2. Data Types: Understand and utilize various data types including lists, tuples, and dictionaries.
  3. Control Structures: Master control flow tools such as loops and conditional statements.
  4. Functions: Learn to write and use functions for reusable and efficient code.
  5. Libraries: Introduction to important Python libraries and their applications in real-world scenarios.