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Description

About Python Course In Coimbatore Edukators

Our Python training course or Python crash course stands out as a premier offering. The Python courses at Edukators cover a wide range of topics, from the fundamentals of programming to advanced concepts. Our expert instructors guide participants through Python’s fundamentals to advance topics in python. With a hands-on python coding practice approach students gain the confidence and expertise needed to success. Edukators is committed to providing a supportive learning environment, ensuring that participants receive personalized attention and guidance throughout their Python training journey. We provide the best python certification course in coimbatore. Join the Edukators in coimbatore today to become a proficient Python programmer or Python Developer.

Know about our Python Trainers

Welcome to our Python training program, where our dedicated Python trainer brings expertise and passion to the forefront of your learning journey. Our instructor is a seasoned professional with a deep understanding of Python programming, offering a wealth of knowledge to participants at all skill levels. With a commitment to hands-on, practical learning, our Python trainer guides you through comprehensive courses designed to impart both fundamental concepts and advanced skills. Whether you’re a beginner exploring the basics or an experienced developer looking to enhance your Python prowess, our trainer tailors the curriculum to meet your specific needs. Backed by real-world experience and a commitment to staying current with industry trends, our Python trainer is not just an educator but a mentor, ensuring you not only grasp the intricacies of Python but also gain the confidence to apply your skills effectively. Join us on a journey of discovery and mastery with our Python trainer, and unlock the full potential of this versatile programming language.

Edukators upcoming batch schedule for python programming training

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04-12-2023  |  Weekdays Batch - Mon (Mon - Fri)  |  08:00 AM (IST) (Class 1Hr) / Per Session
11-12-2023  |  Weekdays Batch - Wed (Mon - Fri)  |  08:00 AM (IST) (Class 1Hr) / Per Session
16-12-2023  |  Weekends Batch - Sat & Sun  |  09:00 AM (IST) (Sat - 2Hr & Sun - 3Hr) / Per Session
16-12-2023  |  Weekends Batch - Sat & Sun  |  09:00 AM (IST) (Sat - 2Hr & Sun - 3Hr) / Per Session

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Benefits of taking course with us!

Enrolling in our Offline Python course or in python online course comes with a multitude of advantages. Firstly, our seasoned instructors offer comprehensive guidance, facilitating a profound grasp of Python's fundamental principles. Secondly, our immersive hands-on approach fosters practical learning, empowering you to effectively apply your knowledge. Furthermore, Python's adaptability presents a gateway to diverse career opportunities, spanning web development to data science.

Course Details

  • What is Script?
  • What is a program?
  • Types of Scripts
  • Difference between Script & Programming Languages
  • Features of Scripting
  • Limitation of Scripting
  • Types of programming Language Paradigms
  • Python Overview
  • History of Python & Python Versions
  • Python Features
  • Types of python - CPython, jPython, PyPy
  • Area of application of python
  • Why do we need python?
  • How python script works
  • Python 2.7 and Python 3 difference
  • What is PSF?
  • What is pip? and how to use?
  • What is IDE?
  • Environment setup - Installation of Python
  • Writing first script in python
  • Interactive and Script Mode programming
  • Compiler and interpreter difference
  • How to make executable python file?
  • What is syntax?
  • What is variable?
  • What is identifiers?
  • What is keywords?
  • What is comment and its types?
  • Usage of Quatations
  • How to use help and dir functions?
  • Static typing and dynamic typing
  • What is data type?
  • String
  • Integers
  • List
  • Tuple
  • Dictionary
  • Set & Frozen set
  • Boolean data type
  • Built in function of data types
  • Mutable and immutable
  • Arithmetic operators
  • Comparison operators
  • Assignment Operators
  • Logical Operators
  • Bitwise Operators
  • Membership Operators
  • Identity Operators
  • Arithmetic Operators
  • Ternary operator & nested ternary operator
  • Grouping Statements: Indentation and Blocks
  • If statement
  • if else statement
  • elif statement
  • nested if, if else, elif statement
  • one line if statement
  • pass keyword
  • for loop with else
  • while loop with else
  • continue and break
  • range and xrange difference
  • list, tuple, dict comprehension
  • Built in function
  • User defined function
  • Nested function
  • Recursive function
  • *args and **kwargs function
  • Global and nonlocal keywords usage
  • Lambda function
  • Reduce, map, filter functions
  • Python closure
  • Decorators
  • Chaining Decorators
  • Python Generators
  • File handling in python
  • Type of modes in file
  • Example for writing a file
  • Example for reading a file
  • Example for reading and writing a image file
  • What is exception?
  • Try and Except Statement - Catching Exceptions
  • Python Exceptions List
  • Assertions in Python
  • Try with Else Clause
  • Finally Keyword in Python
  • User-Defined Exceptions
  • Handling multiple exception
  • What is Modular Programming?
  • What are Modules in Python?
  • How to Import Modules in Python?
  • Python import Statement
  • Importing and also Renaming
  • Python from...import Statement
  • Locating Path of Modules
  • Namespaces and Scoping
  • Basic module writing example
  • OOPs and Principles of object-oriented programming
  • Object-oriented vs Procedure-oriented Programming languages
  • Class
  • Method
  • Attributes types
  • Object
  • Parameter and Attributes difference
  • Inheritance
  • Polymorphism
  • Encapsulation
  • Abstraction
  • Composition
  • Python Memory Allocation - static and dynamic
  • Default Python Implementation
  • Python Garbage Collector
  • Python Objects in Memory
  • Reference Counting in Python
  • Transforming the Garbage Collector
  • Importance of Performing Manual Garbage Collection
  • C Python Memory Management
  • Common Ways to Reduce the Space Complexity
  • What is Multi-Threading?
  • Threading Module
  • Defining a Thread
  • Thread Synchronization
  • What is Database? Types of Databases?
  • What is DBMS?
  • What is RDBMS?
  • Environment setup - Mongo installation
  • Mongo shell - CRUD operations
  • Installing mongo driver
  • Making connection with python
  • What is framework?
  • What is flask?
  • What is REST API?
  • Installing driver
  • Routing
  • URL
  • HTTP methods
  • Template
  • Static files
  • Form data to templates
  • Project in Framework
  • Requests in python
  • urllib in python
  • NumPy Creating Arrays
  • NumPy Array Indexing
  • NumPy Array Slicing
  • NumPy Data Types
  • NumPy Copy vs View
  • NumPy Array Shape
  • NumPy Array Reshape
  • NumPy Array Iterating
  • NumPy Array Join
  • NumPy Array Split
  • NumPy Array Search
  • NumPy Array Sort
  • NumPy Array Filter
  • Python Network Services
  • What are Sockets?
  • Socket Term or Vocabulary
  • Socket Programming
  • Socket Server Methods
  • Socket Client Methods
  • Socket General Methods
  • Hands-on Network programming using python
  • Hands-on python client script (send messages)
  • Working with TCP Sockets
  • Working with UDP Sockets
  • Blocking and Non-Blocking Socket I/O
  • what is pandas
  • why we need pandas
  • What is a Series?
  • whats is Labels
  • Know how to Create Labels
  • Key/Value Objects as Series
  • What is a DataFrame?
  • Locating Rows
  • Know about Named Indexes and locate named index
  • Load Files Into a DataFrame
  • Read CSV Files
  • Read JSON
  • Analyzing DataFrames
  • How to do GUI Programming?
  • Know about diiferent modules for GUI programming
  • What is a Series?
  • Tkinter Widgets
  • Tkinter Geometry
  • Tkinter pack() method
  • Tkinter grid() method
  • Tkinter place() method
  • Tkinter Button
  • Tkinter Canvas
  • Tkinter Checkbutton
  • Tkinter Entry
  • Tkinter Frame
  • Tkinter Label
  • Tkinter Menu
  • Tkinter Menu Button
  • Tkinter List Box

Requirements

1To embark on this journey, you must possess a personal computer or laptop equipped with internet connectivity. This is vital for accessing course materials and engaging in sessions, whether online or offline. Our expert instructors will provide step-by-step guidance in installing Python and essential software.
2While a formal background in computer science or programming is by no means obligatory, it is worth noting that possessing a rudimentary grasp of mathematics and logical thinking can be advantageous. It's important to emphasize that our Python class is specifically designed to accommodate a broad spectrum of participants with varying educational backgrounds, ensuring inclusivity and accessibility.
3The most important requirement is a genuine enthusiasm for learning Python programming. A curious and motivated mindset will greatly enhance your experience and success in the course.

Job Opportunities in learning python

Learning Python opens up a diverse range of job opportunities across various industries. Here are some common job roles that individuals can pursue after acquiring Python skills:

  1. Software Developer/Engineer
  2. Web Developer
  3. Data Scientist
  4. Machine Learning Engineer
  5. Data Analyst
  6. DevOps Engineer
  7. Network Engineer
  8. Cybersecurity Analyst
  9. Game Developer
  10. Quality Assurance (QA) Engineer
  11. Educator/Trainer

FAQs About Python Training at Edukators in coimbatore

The duration of Python training typically varies based on the specific course and your chosen learning path. However, it is important to consider that the duration can be influenced by several factors. For example, introductory courses may span a shorter timeframe, whereas more comprehensive or advanced Python training may take longer to complete. Moreover, the mode of instruction, whether it’s in-class or online, can also impact the duration. In-class training might follow a fixed schedule with daily or weekly classes, whereas online courses often offer more flexibility, allowing students to progress at their own pace. Additionally, part-time or full-time enrollment can further affect the duration of the training program.

Yes, we provide certificates to the course-completed candidates after completing their final projects and assessments.

Certainly, we provide valuable support to our candidates in interview preparation. To facilitate this process, we encourage candidates to practice problem-solving extensively, enabling them to gain confidence and refine their skills. Additionally, we offer mock interviews as a crucial component of our preparation strategy. These mock interviews help candidates become familiar with the interview format, receive constructive feedback, and ultimately boost their readiness for real interviews.

Yes, we are committed to supporting our students even after they complete the course and Following their successful course completion, we also offer placement assistance to connect them with potential job opportunities and this service is designed to ease the transition from learning to employment. Moreover, our placement assistance includes activities such as resume building, interview coaching, and networking opportunities, ensuring that students are well-prepared and connected to the job market.

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