Python
ProgrammingCourse Name: Python
Programming
Duration: 20 days
Course Objectives: How to use python for scripting, automation, development,
data processing, data visualization, RESTFul web services and testing.
Detailed Lab Setup: Latest python to be downloaded and installed from
thewebsite Python.org
DAY 1
1. Introduction to python
2. Software installation, introduction to IDLE and PyCharms.
3. Object types
a. Numbers
b. Strings
DAY 2
i. Indexes
ii. Slicing
iii. Step value
iv. Reverse order
DAY 3
c.
a.
b.
c.
d.
e.
f.
Lists
Dictionary
Tuples
Sets
Frozenset
Bytes
Bytearray
Day 4
4. Pass keyword
5. Conditional statement
a)
b)
c)
d)
‘if’
if,
if elif,
if elif else.
6. For loop
a.
b.
c.
d.
for loop
break
continue
for-else.
DAY 5
7.
a.
b.
c.
d.
8.
a.
While Loop
While loop
Break
Continue
While-else
File operations
Open function
DAY 6
b.Read
i. Read()
ii.Readline()
iii.For-loop to read line by line
iv.Readlines()
v.List/tuple/dict/set classes for reading
c.
write functions
i. write()
ii.writelines()
iii.print function
d.Modes
i. Read
ii.Write
iii.append
e.Flush and close
DAY 7
9.
Functions
f.About functions
g.Positional arguments
h.Default value arguments
i. Variable arguments
j. Keyword only arguments
k.Variable keyword only arguments
DAY 8
10.
a.
11.
a.
12.
13.
Generators
Yield
Comprehensions
List/tuple/dict/set
Lambda functions
Decorators
14.
a.
b.
c.
d.
e.
f.
g.
h.
i.
j.
Custom Classes
Creating the classes
Class variables
Instance variables
Class methods
Instance methods
Static methods
Constructors
Single and multiple inheritance
Polymorphism
Method overriding
DAY 9
k.
Operator overloading
15.
a.
b.
c.
d.
e.
f.
16.
a.
Exception handling
Try-except
Exception classes
Try-except with classes
Try-except-else
Try-except-finally
Custom exception classes
Modules and Packages.
Creating modules
DAY 10
b.
c.
module
d.
Environments variables
Different ways of importing the
From import
DAY 11
17. pip and pypi
18.Regular expressions
a. Identifiers
b. Ǫuantifies
c. Modifiers
DAY 12
19.
a.
b.
c.
20.
a.
b.
Connecting to SǪL databases
About database library
Connecting to SǪLite database
Executing the queries
SǪL Database to fil
Txt files
Csv files
21.
a.
b.
c.
d.
e.
f.
g.
Pandas DataFrame
About pandas
2D data - DataFrame
Columns and rows
List/tuple to DataFrame
Database to DataFrame
DataFrame to csv
DataFrame to excel
DAY 13
h.
i.
j.
k.
l.
m.
data
DataFrame to json
Example DataFrame methods –
describe, count, groupby,
valuecounts
Accessing each columns using
column name
Filtering the data
Slicing – access portion of the data
Creating excel sheet with graph and
DAY 14
Flask and Flask-RESTFul Framework RESTFul
APIs and Micro services using flask
framework
22.
About API
23.
About RESTFul API
24.
Web development frameworks in
python
25.
26.
a.
27.
About flask framework
Creating app using flask framework
Connect to SǪL databases
Developing RESTFul web services
using flask
28.
a.
b.
c.
d.
e.
Different http methods
GET
POST
PUT
PATCH
DELETE with flask 29.SǪL Alchemy
DAY 15
DAY 16
Microservices in container 30.About docker
31.
Docker hub
32.
Containerization
33.
Docker images
34.
Create Docker container with flask
application
DAY 17
RESTFul web services using DJango
35.About Django framework 36.Create
project
37. About settings.py 38.Creating the app
39.Migrations 40.Models
41. Admin interface
DAY 18
About Django REST Framework
Configuring framework 44.Creating REFUl
APIs 45.
GET
46.
POST
42.
43.
DAY 19
47.
48.
49.
PUT
PATCH
DELETE methods in API creation
DAY 20
50.
a.
51.
a.
b.
Consuming REST-API
Requests module
Pytest: Unittesting
Creating the testcases
Run the tests