About Python Basics

Today python has a grate demand in industry. So if you learn this language it will help you to get your dream job also! Python is a very easy to learn and powerful language. The size of the code is too small. If you want to build a simple Java or C program of Hello World it will take 6/7 line But in python it is just print “hellow world!” /p>

Course Content

1.About python.
2. Software installation, introduction to IDLE and PyCharms.
3. Object types
a. Numbers
b. Strings
c. Lists
d. Dictionary
f. Sets
4. Dynamic typing and Garbage Collection.
5. Statements
6. Assignments and Expressions
7. if, if elif, if elif else.
8. while, while else.
9. for, for else.
10. break, continue, pass.
Working on Live Data
11. Files
12. Processing Text file (using string built-in methods)
13. Iterations and comprehensions.
14. Documentations.
15. Functions.
16. Scopes.
17. Arguments.
18. Map, filter, reduce functions.
19. Zip, Enumerate functions.
20. Lambda functions.
Working on Live Data
21. Modules.
22. Module Packages.
23. datetime, time, sys, os modules.
24. Closures and First Class Functions.
25. Classes and OOP.
26. Exceptions.
27. Decorators
28. Generators
Working on Live Data
29. Multithreading
30. Using modules: re (Regular Expression).
31. Processing Text file (using string built-in methods)
32. Processing csv using csv module
33. Processing xlsx using Openpyxl
34. Connecting to database using Pymysql, sqlite modules.
35. Send data and receive data from databases.
Working on Live Data
36. Pandas (Python Data Analysis Toolkit)
37. Pandas: Creating data sets – Creating data frames – Reading from CSV – Exporting to CSV
38. Pandas: Reading from TXT – Exporting to TXT – Selecting top/bottom records – Descriptive statistics – Grouping/sorting data
39. Pandas: Creating functions – Reading from EXCEL – Exporting to EXCEL – Outliers – Lambda functions – Slice and dice data
40. Pandas: Adding/deleting columns – Index operations
41. Pandas: Read from databases
42. Pandas: Export to CSV/EXCEL/TXT.
43. Create graphs using matplotlib
44. Send email with attachment using smtplib, mimetext, mimemultipart
45. Transfer files among servers using ftplib, paramiko.
46. Work on ssh, run commands/interactive commands in remote host and process the output using paramiko module.
47. Process outlook email using win32com
48. Shutil module for high level file operations.

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