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PYTHON

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Lessons In This Class

Fundamentals of Python
  • Introduction to Python
  • What is coding?
  • Python Versions and Language.
  • Python Programming Cycle
  • GIT Introduction and Setup
  • Flowchart
  • Python command and script
  • Data Types
  • Numerical variables
  • Basic Numerical Operation: Addition, Subtraction, Division, and Multiplication
  • Number Conversion Functions
  • Built-in Mathematical Functions
  • Types of conversion- int(), long(), Float()
  • abs, max, min, ceil, floor, round
  • Employ arithmetic operators
  • Integers, Floats
  • Uses of Operators in Python
  • Membership Operators
  • String Operators
  • List Operators
  • Bitwise Operators
  • Identity Operators- in, not in
  • Assignment Operators
  • Logical Operators
  • Arithmetic Operators
  • Variables, Number, String, and Integers.
  • Assigning value for variable.
  • Triple and Float
  • User Input.
  • Types of casting.
  • Boolean.
  • Multiple assignments.
  • Built-in Functions- cmp(), len(), min(), max()
  • List Operators +,*,[], in, not in
  • Python List Slicing.
  • Accessing elements in the list.
  • Deleting List items.
  • Loop list, Copy list, Join list, Sort list, Updating list.
  • Indexing and Matrixes
  • Tuple Operators.
  • Creating a Tuple.
  • Tuple Functions cmp(), len(), max(), min().
  • Difference between Tuple and list.
  • Accessing Value in Tuple.
  • Deleting elements in Tuple.
  • Map, Filter, Reduce.
  • Tuple Methods.
  • Index and Slice Tuple.
  • Unpack Tuple, Loop Tuple, Join Tuple.
  • Dictionary Functions and Operators
  • Creating and processing Dictionary.
  • Difference between List and Dictionary.
  • Functions like len, keys, values, items.
  • Properties of Dictionary.
  • Changing and Removing Dictionary.
  • Nested and Loop Dictionary.
  • Accessing Dictionary elements.
  • Adding and removing Dictionary elements.
  • Date and time module.
  • Introduction to Sets.
  • Methods of Sets.
  • Loop Set and Join Set.
  • Frozen set.
  • Adding and Removing Elements from a Set.
  • Union, Intersection, and Set Operations.
  • Built-in Functions with set.
  • Symmetric Differences.
  • Updating set.
  • Conditional Statements- If, else, elif
  • Nested if statements.
  • Loop and Decision making.
  • For Loop. While Loop and Nested Loop.
  • Python Indentation.
  • Break and continue statements.
  • Iterators
  • User Input
  • Logical and Comparison Operators.
  • Defining and aspects of Functions.
  • Creating a Function.
  • Calling a Function.
  • Anonymous Function.
  • Lambdas Function.
  • Types of User-defined Function.
  • Arguments in Function.
  • Positional and Non-Positional arguments.
  • Return statement.
  • Scope of variables- Local and Global variables.
  • Default Parameters.
  • Built-in Library Functions.
  • Docstring.
  • Errors Handling
  • Types of exception.
  • Exception Handling- try, except, else, and finally.
  • Creating an Exception Block.
  • Assert Statements.
  • Pre-defined Exception.
  • Raise Exception.
  • Logging.
  • User-defined Exception.
  • Argument of an Exception
  • Multiple Exceptions.
  • Chained Exception.
  • Introduction to files.
  • Opening and Closing files function.
  • Creating, Reading, and Writing files.
  • File functions- readline, readlines, write, writeline, seek, tell.
  • Iterate File.
  • Delete file.
  • Accessing Random Files.
  • Directories and Paths.
  • Temporary files.
  • Basic concepts of OOPs
  • Types of classes.
  • Operator Overloading.
  • Differences between OOP and procedural programming
  • Object methods.
  • Self, _init_,_name_,_dict_,_str_ .
  • Data hiding.
  • Overriding rules.
  • Instance and class variables.
  • Constructor, Inheritance, and Polymorphism.
  • Purpose of subclass.
  • Declaring inheritance.
  • Static methods
  • Yield and return statement.
  • String Iterator.
  • Generator Functions.
  • Uses of Decorators.
  • JSON, YAML file, CSV file, PDF concepts.
  • threading.main_thread(), threading.current_thread.
  • MongoDB, MySQL, Oracle
  • How to connect with the database.
  • SQL basic concepts.
  • NoSQL
  • Relational Database.
  • Update, Insert, and Delete.
  • Retrieving the data.
  • Functions like cursor, execute, fetch, and close.
  • Joins.
  • Aggregate Function.
  • Procedure.
  • Conditional statements.
  • Environment and Apps life cycle.

Why Choose MAK Technologies?

Industry-Oriented Training

Real-Time Project Learning

Flexible Online Classes

Expert Mentor Support

Why You Should Learn Python

  • Easy to learn and simple to read,even for beginners
  • Widely used in web development, data science, and automation
  • High demand in IT and non-IT industries
  • Supports machine learning and artificial intelligence
  • Saves time with fewer lines of code
  • Strong community support and libraries
  • Used by top companies worldwide
  • Excellent career growth opportunities

$150.99

  • Class Online
  • Language English, Tamil, Hindi
  • Certificate Yes
  • Level Beginner
  • Topic python
    • Other includes:
    • ✓ Class recordings
    • ✓ Online certification
    • ✓ Online classes conducted Google Meet and Zoom
    • ✓ Online interviews
    • ✓ Foreign countries study guidance available
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Career Benefits of Learning Python With Us:

Frequently Asked Questions (FAQ)

Anyone can learn Python, including students, beginners, working professionals, and non-IT background learners.

No prior programming experience is required. This course starts from basics.

You can work as a Python Developer, Data Analyst, Automation Engineer, Web Developer, or Software Tester.

Yes. Python is widely used in finance, healthcare, education, and business analytics.

Yes. The course includes practical exercises and real-time projects to build confidence.

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