Python Course
The best institute for learning Python programming in Coimbatore is Edukators, known for its exceptional teaching and hands-on training. Edukators provides a comprehensive curriculum that covers Python fundamentals, data structures, web development, and more. The institute's experienced instructors and practical, project-based approach ensure that students acquire a strong foundation in Python programming. With state-of-the-art facilities and a track record of successful graduates, We Edukators stands out as the top choice for Python enthusiasts in Coimbatore.
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About Python Course In Coimbatore
Our Python training course, or Python crash course, stands out as a premier offering. At Edukators, we cover a wide range of topics, from the fundamentals of programming to advanced concepts. Above all, our expert instructors guide participants through Python’s essentials and advanced topics. In addition, with hands-on Python coding practice, students gain the confidence and expertise needed to succeed. Similarly, Edukators is committed to providing a supportive learning environment, ensuring that participants receive personalized attention and guidance throughout their Python training journey. After that, they are well-prepared to apply their knowledge in real-world scenarios. We provide the best Python training course in Coimbatore with a certificate. Therefore, join Edukators in Coimbatore today to become a proficient Python programmer or Python developer.
Know about our Python Trainers
Welcome to our Python training program, led by a passionate and expert trainer. Above all, they simplify complex concepts for all skill levels. In addition, the hands-on courses build your coding skills step by step. After that, you’ll confidently apply your knowledge to real-world projects. Join us today to master Python. Above all, whether you’re a beginner or experienced, our curriculum is tailored to your needs, backed by real-world experience. For instance, our adaptable pacing lets you learn at your own speed. Similarly, you’ll explore various aspects of Python, delving into advanced topics as you progress. After that, you’ll confidently apply your skills to real-world projects. In addition, you’ll gain hands-on experience with cutting-edge tools. Therefore, join us in unlocking Python’s full potential. However, don’t just take our word for it experience the difference yourself! In other words, this course is your gateway to mastering Python.
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Enrolling in our offline Python course or Python online course offers many advantages. In other words, you'll start with the basics and gradually apply your knowledge to real-world projects. For instance, you'll engage in industry-relevant tasks that enhance your practical skills. Above all, Python's adaptability opens doors to careers in web development and data science. In addition, this course prepares you to confidently advance your career. After that, you'll be ready to tackle more complex challenges. Similarly, the skills you gain will transfer across various fields. Therefore, join us to unlock these opportunities. However, don't just take our word for it—experience the benefits firsthand!
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
Job Opportunities in Python Course
Python Course 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:
- Software Developer/Engineer
- Web Developer
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- DevOps Engineer
- Network Engineer
- Cybersecurity Analyst
- Game Developer
- Quality Assurance (QA) Engineer
- Educator/Trainer
FAQ's about Python Course
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