> For the complete documentation index, see [llms.txt](https://gyansetu-python.gitbook.io/python-programming/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://gyansetu-python.gitbook.io/python-programming/master.md).

# Course Index

**Day 1 :**

**Python Installation**

**Python Introduction:**

 **Learning Objectives** - Understand what Python is and why it is so popular. Learn how to set up Python environment, flow control and write your first Python program.

 **Topics -** 

 **Python Overview :**

*  About Interpreted Languages, Advantages/Disadvantages of Python, pydoc.
*  Starting Python, Interpreter PATH, Using the Interpreter
*  Running a Python Script, Python Scripts on UNIX/Windows, Python Editors and IDEs.
*  Using Variables, Keywords, Built-in Functions, Strings, Different Literals, Math Operators and Expressions, Writing to the Screen, String Formatting, Command Line Parameters and Flow Control.

 **Day 2 & 3:**

 **Python Datatypes & Type Conversion:**

 **Numbers** : Python supports four numerical types > int (signed integers) ,long (long integers),float (floating point real values), complex ( complex numbers).

 **Strings :**

*  In Python everything is object & String are an object too.
*  b) Reading Values from String.
*  c) Updating values in a String
*  d) Delete elements from a String.
*  e) Python String Operations.

 **Python Lists :**

 a) List in Python is a mutable collection whose values can be modified after adding values in a list. We can add duplicate elements in a List.

 b) Reading Values from List.

 c) Updating values in a List

 d) Delete elements from a List.

 e) Python List Operations.

 **Python Tuples :**

 a) Tuples in Python is a immutable collection whose values can’t be modified once added.

 b) Reading Values from Tuple.

 c) Updating values in a Tuple

 d) Delete elements from a Tuple.

 e) Python Tuple Operations.

 **Dictionary in python :**

 a) Dictionary key is separated from its value by a colon (:)

 b) Reading Values from Dictionary.

 c) Updating values in a Dictionary

 d) Delete elements from a Dictionary.

 e) Python Dictionary Operations.

 f) Dictionary built-in functions & methods.

**Sets in Python:**

A Set is an unordered collection data type that is

* iterable
* mutable
* has no duplicate elements

**Type Conversion:**

* Converting to integer base 2
* Converting to float
* Converting Integer to hexadecimal string
* Converting Integer to octal string
* Converting string to tuple
* Converting string to set
* Converting string to list

**Day 4 :** **Operators**

1. Arithmetic Operators
2. Comparison Operators
3. Logical Operators
4. Assignment Operators
5. Binary Operators
6. Identity Operators
7. Membership Operators

**Day 5 :** 

**Conditional Statements:**

* **If**
* **if-else**
* **if-elif-else**

**Loops:**

* **For Loop**
* **While Loop**

**Day 6 : Practice of Day 3, Day 4 & Day 5**

**Day 7 : Functions -1**

1- Definition

2- Rules to define a function

3- Calling a Function

4- Pass by reference vs pass by value

5- Function Arguments

6- Examples

**Day 8: Functions -2**

1- Anonymous Functions

* Lambda keyword
* return statement
* map()
* filter()
* reduce()

**Scope of Variables - Global & Local Variables**

**Date & Time Functions in Python**

Python Date, Time & Date Time classes provides a number of functions to deal with dates, times & time interval.

 Date Time classes in Python are categorized into five main classes:

 a) Time : Time independent of the day( Hour, minute, second, microsecond)

 b) Datetime : Combination of time & date ( Month, day , hour, second, microsecond)

 c) Timedelta : a duration of time used for manipulating dates.

 d) Tzinfo : An abstract class for dealing with time zones.

**Day 9 : Practice of Day 7, Day 8**

**Day 10 :**

 **I/O Functions in Python**

*  Keyboard I/O Functions ( reading data from Keyboard)
*  Files R/W operations.
*  Python opening/closing of files (Excel, csv, etc).
*  Python File & Directory Related methods.

**Day 11, Day 12 :**

 **OOPS Concepts in Python:**

*  Python Classes & Objects Overview
*  OOPS terminology in Python
*  Creating Python Objects.
*  Python Built-In class attributes.
*  Garbage Collection in Python. (Destroying Python objects)
*  Python Inheritance.
*  Python Function Overloading and Overriding
*  Data Hiding concept in python
*  Data Binding concept in Python (Encapsulation)
*  Constructors in Python.
*  Declaring Enumerations
*  Python Class String values
*  Python Computed Attributes
*  Python Object Operations
*  Python Object Comparisons
*  Multithreading

 

 **Day 13 :**

 **Python Database Connectivity, Debugging & CRUD operations.**

*  Connecting Python with OLTP sources.
*  Python CRUD operations.
*  Calling DB Procedures & Functions.
*  Packages in Python

**Day 14 :**

 **Python - XML & JSON Data Processing**

*  XML data parsing using DOM parser
*  XML data parsing using SAX parser
*  JSON data parsing using JSON parser.

 **Python Integration with various Datasources**

*  RDBMS/OLTP Sources (Mysql + Oracle + PostgreSQL)
*  PDF & Excel
*  API Integration (SOAP/REST API Consumer)
*  XML & JSON sources
*  Flat files Integration (CSV,TSV,SequenceFiles and TextFile)

 **Day 15 :**

 **Python Advanced Datatypes :**

*  Python Deque Objects
*  Python orderedDict
*  Python defaultDict
*  Python FrozenSet
*  Python namedTuples
*  Python Sets & FrozenSets

**Python Optimizations(Comprehensions)**

*  Python List Comprehensions
*  Python Set Comprehensions
*  Python Dictionary Comprehensions
*  Python Set Comprehensions

**Day 16 : Python Advanced Topics**

1. **NumbPy**
2. **Pandas**
3. Implementing **Web Scrapping** in Python using **Beautiful Soup** (**bs4**)
4. **NLP Implementation** with Python using **NLTK.**

 a) What IS NLP

 b) Benefits of NLP

 c) Word Stemming

 d) Word Tokenizing, Stop Words

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