Python Programming Beginners is a practical training course designed to introduce participants to Python programming and build a strong foundation in software development. Participants will learn Python syntax, variables, operators, control structures, functions, data structures, modules, file handling, exception handling, object-oriented programming, and database concepts through structured lessons and practical exercises.
Duration: 5 days – 35 hrs.
Overview
The Python Programming Beginners Training Course is designed to provide participants with a solid foundation in Python programming. Whether you are a complete beginner or have some prior programming experience, this course will equip you with the essential skills and knowledge to start building applications using Python.
Python is a powerful and versatile programming language that has gained immense popularity in recent years. It is widely used in various domains, including web development, data analysis, machine learning, and automation. This course will introduce you to the fundamentals of Python and cover the core libraries and tools that make Python such a valuable language for programmers.
Learning Objectives
- Gain a comprehensive understanding of Python syntax and language fundamentals
- Learn how to write clean and efficient Python code
- Explore the core libraries in Python and their practical applications
- Understand the concepts of object-oriented programming (OOP) in Python
- Discover the most useful libraries and modules developed by the Python community
- Build hands-on projects and applications to apply your newly acquired knowledge
Audience
- Individuals with little or no prior programming experience who want to start their journey in Python programming.
- Beginners who want to strengthen their foundational knowledge of Python and expand their programming skills.
- Programmers from other languages who wish to switch to Python and leverage its extensive libraries and frameworks.
Pre- requisites
- No prior programming experience is required. Basic computer literacy and familiarity with concepts such as variables, functions, and control flow will be beneficial.
- This course can be useful to those that are new to programming. To ensure your success in the course, you should have at least a foundational knowledge of personal computer use.
- Familiarity with concepts such as variables, functions, and control flow will be beneficial. Although not mandatory, having a basic understanding of these programming concepts can help participants grasp the Python syntax more easily.
Course Content
Module 1: Introduction to Python
- What is Python?
- Why Python?
- Who Uses Python?
- Characteristics of Python
- History of Python
- What is PSF?
- Python Versions
- How to Download and Install Python
- Install Python with Diff IDEs
Module 2: Different Modes in Python
- Execute the Script
- Interactive and Script Mode
- Python File Extensions
- Learn Python Main Function
- Python Comments
- Quit the Python Shell
- Shell as a Simple Calculator
- Order of operations
- Multiline Statements
- Quotations in Python
Module 3: Python NEW IDEs
- PyCharm IDE
- How to Work on PyCharm
- PyCharm Components
- Debugging process in PyCharm
- PYTHON Install Anaconda
- What is Anaconda?
- Coding Environments
- Jupyter Notebook
- What is PIP?
Module 4: Variables in Python
- What is Variable?
- Variables and Constants in Python
- Variable,Variable names and Value
- Mnemonic Variable Names
- Values and Types
- What Does “Type” Mean?
- Multiple Assignment
- Python different numerical types
- Standard Data Types
- Operators and Operands
- Order of Operations
- Swap variables
- Python Mathematics
- Type Conversion
- Mutable Versus Immutable Objects
Module 5: String Handling
- What is string?
- String operations and indices
- Basic String Operations
- String Functions, Methods
- Delete a string
- String Multiplication and concatenation
- Python Keywords, Identifiers and Literals
- String Formatting Operator
- Structuring with indentation in Python
- Built-in String Methods
- Define Data Structure?
- Data Structures in PYTHON
Module 6: Python Operators and Operands
- Arithmetic, Relational Operators and Comparison Operators
- Python Assignment Operators
- Short hand Assignment Operators
- Logical Operators or Bitwise Operators
- Membership Operators
- Identity Operators
- Operator precedence
- Evaluating Expressions
Module 7: Python Conditional Statements
- How to use “if condition” in conditional structures
- if statement (One-Way Decisions)
- if .. else statement (Two-way Decisions)
- How to use “else condition”
- if .. elif .. else statement (Multi-way)
- When “else condition” does not work
- How to use “elif” condition
- How to execute conditional statement with minimal code
- Nested IF Statement
Module 8: Python LOOPS
- How to use “While Loop” and “For Loop”
- How to use For Loop for set of other things besides numbers
- Break statements, continue statement, Enumerate function for For Loop
- Practical Example
- How to use for loop to repeat the same statement over and again
- Break, continue statements
Module 9: Learning Python Strings
- Accessing Values in Strings
- Various String Operators
- Some more examples
- Python String replace () Method
- Changing upper- and lower-case strings
- Using “join” function for the string
- Reversing String
- Split Strings
Module 10: Sequence or Collections in PYTHON
- Strings
- Unicode Strings
- Lists
- Tuples
- buffers
- xrange
Module 11: Python Lists
- Lists are mutable
- Getting to Lists
- List indices
- Traversing a list
- List operations, slices and methods
- Map, filter and reduce
- Deleting elements
- Lists and strings
Module 12: Python TUPLE
- Advantages of Tuple over List
- Packing and Unpacking
- Comparing tuples
- Creating nested tuple
- Using tuples as keys in dictionaries
- Deleting Tuples
- Slicing of Tuple
- Tuple Membership Test
- Built-in functions with Tuple
- Dotted Charts
Module 13: Python Sets
- How to create a set?
- Iteration Over Sets
- Python Set Methods
- Python Set Operations
- Union of sets
- Built-in Functions with Set
- Python Frozenset
Module 14: Python Dictionary
- How to create a dictionary?
- PYTHON HASHING?
- Python Dictionary Methods
- Copying dictionary
- Updating Dictionary
- Delete Keys from the dictionary
- Dictionary items() Method
- Sorting the Dictionary
- Python Dictionary in-built Functions
- Dictionary len() Method
- Variable Types
- Python List cmp() Method
- Dictionary Str(dict)
Module 15: Python Functions
- What is a function?
- How to define and call a function in Python
- Types of Functions
- Significance of Indentation (Space) in Python
- How Function Return Value?
- Types of Arguments in Functions
- Default Arguments and Non-Default Arguments
- Keyword Argument and Non-keyword Arguments
- Arbitrary Arguments
- Rules to define a function in Python
- Various Forms of Function Arguments
- Scope and Lifetime of variables
- Nested Functions
- Call By Value, Call by Reference
- Anonymous Functions/Lambda functions
- Passing functions to function
- map(), filter(), reduce() functions
- What is a Docstring?
Module 16: Python Modules
- What is a Module?
- Types of Modules
- The import Statement
- The from…import Statement
- ..import * Statement
- Underscores in Python
- The dir( ) Function
- Creating User defined Module
- Command line Arguments
- Python Module Search Path
Module 17: Packages in Python
- What is a Package?
- Introduction to Packages?
- py file
- Importing module from a package
- Creating a Package
- Creating Sub Package
- Importing from Sub-Packages
- Popular Python Packages
Module 18: Python Date and Time
- How to Use Date & DateTime Class
- How to Format Time Output
- How to use Timedelta Objects
- Calendar in Python
- datetime classes in Python
- How to Format Time Output?
- The Time Module
- Python Calendar Module
- Python Text Calendar, HTML Calendar Class
- Unix Date and Time Commands
Module 19: File Handling
- What is a data, Information File?
- File Objects
- File Different Modes and Object Attributes
- How to create a Text Fil and Append Data to a File and Read a File
- Closing a file
- Read, read line ,read lines, write, write lines…!!
- Renaming and Deleting Files
- Directories in Python
- Working with CSV files and CSV Module
- Handling IO Exceptions
Module 20: Python Exception Handling
- Python Errors
- Common RunTime Errors in PYTHON
- Abnormal termination
- Chain of importance Of Exception
- Exception Handling
- Try … Except
- Try .. Except .. else
- Try … finally
- Argument of an Exception
- Python Custom Exceptions
- Ignore Errors
- Assertions
- Using Assertions Effectively
Module 21: More PYTHON
- Python Iterators, Generators, Closures, Decorators and Python @property
Module 22: Python Class and Objects
- Introduction to OOPs Programming
- Object Oriented Programming System
- OOPS Principles
- Define Classes
- Creating Objects
- Class variables and Instance Variables Constructors
- Basic concept of Object and Classes
- Access Modifiers
- How to define Python classes
- Python Namespace
- Self-variable in python
- Garbage Collection
- What is Inheritance? Types of Inheritance?
- How Inheritance works?
- Python Multiple Inheritance
- Overloading and Over Riding
- Polymorphism
- Abstraction
- Encapsulation
- Built-In Class Attributes
Module 23: Python Regular Expressions
- What is Regular Expression?
- Regular Expression Syntax
- Understanding Regular Expressions
- Regular Expression Patterns
- Literal characters
- Repetition Cases
- Example of w+ and ^ Expression
- Example of \s expression in re.split function
- Using regular expression methods
- Using re.match()
- Finding Pattern in Text (re.search())
- Using re.findall for text
- Python Flags
- Methods of Regular Expressions
Module 24: Python XML Parser
- What is XML?
- Difference between XML and HTML and XML, JSON, Gson
- How to Parse XML and Create XML Node
- Python vs JAVA
- XML and HTML Module 24: Python-Data Base Communication
- What is Database? Types of Databases?
- What is DBMS? RDBMS?
- Oracle
- SQL server
- Executing DML Operations…!!
