Core Python Syllabus

   

Python is an interesting programming language. To learn, understand, and be able to code in python language, one has to know the python syllabus and libraries. Below is the Python syllabus that programmers use in their daily tasks while using the Python programming language

 Getting Started:

1. History & need of Python
2. Application of Python
3. User internet or IDE
4. Executable or script files
5. Program structure
6. Installing python
7. Program structure
8. Advantages of python
9. Disadvantages of python

Python Fundamentals

1. Working with interactive mode
2. Working with script mode
3. Python Character set
4. Python Tokens, keywords, identifiers, Literals, operators.
5. Variables and Assignments
6. Input and output in python

Data Handling

Data Types:

1. Numbers
2. Strings
3. Lists
4. Tuples
5. Dictionary
6. Set
7. Frozenset
8. Bool
9. Mutable and Immutable

String Manipulation

1. Introduction to python string
2. Accessing Individual Elements
3. String Slices
4. String Functions and Methods

List Manipulation

1. Introduction to python list
2. Creating List
3. Accessing List
4. Joining List
5. Replicating List
6. List Slicing

Tuples

1. Introduction to Tuple
2. Creating tuples
3. Accessing tuples
4. Joining tuples
5. Replicating tuples
6. Tuple slicing

Dictionaries

1. Introduction to Dictionary
2. Accessing values in dictionaries
3. Working with dictionaries
4. Properties

Set and Frozenset

1. Introduction to set and frozenset
2. Creating set and frozenset
3. Accessing and joining
4. Replicating and slicing

Operators:

1. Arithmetic operators
2. Relational operators
3. Logical operators
4. Membership operators
5. Identity operators
6. Bitwise operators
7. Assignment operators
8. Operators Precedence
9. Evaluating Expression
10. Type Casting

Program Control Flow

Conditional Statements:

1. The if statement
2. The if_else statement
3. The if_elif statement
4. Nested if statement
5. Python Indentation

Looping and Iteration

1. The For Loop
2. The While Loop
3. Loop else statement
4. Nested Loops
5. Break and continue

The Range Function

1. Introduction to range {}
2. Types of range {} function
3. Use of range {} function

Introduction To Functions

Built-in Functions:

1. Introduction to functions
2. Using a function
3. Python function types
4. Structure of python functions

User Defined functions

1. Structure of a python program
2. Types of functions
3. Invoking UDF
4. Flow of Execution
5. Arguments and parameters
6. Default Arguments, named arguments
7. Scope of variables
8. Lambda function

Recursion Function

• Use of recursion function

Modules and Packages

Built-in Modules:

• Importing modules in python programs
• Working with Random modules, such as built-ins, OS, time, datetime, calendar, sys, etc.

User Defined Functions

• Structure of python modules

File Operations

1. Text and Bytes files
2. Reading and writing files
3. Other file tools

MS Excel files

Introduction to MS Excel files

Classes And Objects

1. Classes as user defined data types
2. Objects as instances of classes
3. Creating class and objects
4. Creating objects by passing values
5. Variables and methods in a class

Important Libraries in Python Programming

Data Science:

Numpy:  This is a library for python programming language used for adding support for multi-dimensional arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices.

Pandas: This is a software library written for the python programming language, it is used in manipulating data and data structures.

Scipy: This is a python library that is specifically used for scientific computing. With scipy, users would be able to manipulate and visualize the data. Moreso, Scipy is built on the Numpy extension.

Sci-Kit Learn

Matplotlib: This is a plotting function for python, it helps users embed plots into application. Below is an example of what we can do with Matplotlib

 Web Development

Django: This is a top python web development framework that encourages rapid development, clean and pragmatic design.

Flask: Flask is a lightweight and minimalist python web development framework perfect for small-scale projects.

CherryPy: This is a python web development framework that follows the MVC architectural pattern.

Web2Py: This is a scalable python framework that allows users to develop web applications quickly and smoothly.

 Game Development

Pygame

Panda3d

Pykyra

Ursina Engine

Pyglet

 

Graphical User Interface (GUI)

Tkinter

Kivy

Wxpython

Pyside2

Python Interview Questions (nellyvinceblog.com)