BEST PYTHON SCRIPTING TRAINING IN PUNE | ONLINE
Python Duration of Training : 30 hrs
Batch type : Weekdays/Weekends
Mode of Python Training : Classroom/Online/Corporate Training
Python Scripting Training & Certification in Pune
Highly Experienced Certified Trainer with 10+ yrs Exp. in Industry
Realtime Projects, Scenarios & Assignments
Why Radical Technologies
Highlights :
Python is a widely used general-purpose, high-level programming language. Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive standard library.The official repository of third-party software for Python contains more than 38,000 packages covering a wide range of functionality.
Audience :
Application programmers, automation engineer, testers, system administrators,
web-crawlers and UNIX/NT power users.
Pre-requisite : Basic of UNIX or Windows
For whom Python is?
IT folks who want to excel or change their profile in a most demanding language which is in demand by almost all clients in all domains because of below mentioned reasons-
- Python is open source (Cost saving)
- Python has relatively few keywords, simple structure, and a clearly defined syntax. This allows the student to pick up the language in a relatively short period of time.
- Python comes with a large collection of prebuilt and portable functionality known as the standard library. Python has more than 20 Thousand modules. Every new development comes very early in Python like Hadoop interface, Raspberry Pi and many more!
- Python can run on a wide variety of hardware platforms and has the same interface on all platforms.
- You can add low-level modules to the Python interpreter. These modules enable programmers to add to or customize their tools to be more efficient.
- Django framework might be the most famous Python web framework, there is also a host of successful small and micro-frameworks.
Who use Python?
- Google makes extensive use of Python in its web search system, and employs Python’s creator Guido van Rossum.
- The YouTube video sharing service is largely written in Python.
- Disney uses Python in many of their creative processes.
- Mozilla uses Python to explore their extensive code base and releases tons of open source packages built in python.
- Dropbox file hosting service is implemented using Python, Guido van Rossum now working here.
- The popular Bit Torrent peer-to-peer file sharing system is a Python program.
- Intel, Cisco, Hewlett-Packard, Seagate, Qualcomm, and IBM use Python for hardware testing.
- JPMorgan Chase, UBS, Getco, and Citadel apply Python for financial market forecasting.
- NASA, Los Alamos, JPL, use Python for scientific programming tasks.
- iRobot uses Python to develop commercial robotic vacuum cleaners.
- The NSA uses Python for cryptography and intelligence analysis.
- And Many More
Can I learn Python if I’m not from programming background?
Yes
Anyone can learn Python, whether they are from Networking, Administration, manual testing or may be from IT support. It is a big myth that if guys don’t know C or C++ then he can’t learn Python.
What is the job trend in Python?
Per the indeed.com, percentage growth of Python is 700 times more than its peer Languages.
http://www.indeed.com/jobtrends?q=Perl%2C+.Net%2C+Python%2Cjava&l=&relative=1
Python is part of the winning formula for productivity, software quality, and maintainability at many companies around the world.
Few of them are specified at: https://www.python.org/about/success/
Who can learn Python?
In short, anyone.
- Automation Engineers
- Data analysts and scientist
- Web Developers
- Networking Professionals
- Software Developers
- Hadoop programmers
- Desktop Applications
- Robotics Engineers
- Hardware level developers
- And Many Many More …
COURSE CONTENT :
PYTHON – CORE
Introduction
What is Python..?
A Brief history of Python
Why Should I learn Python..?
Installing Python
How to execute Python program
Write your first program
Overview on Jupyter Notebook
Overview on Command Line
Variables & Data Types
Variables
Numbers
String
Boolean
List
Set
Tuple
Dictionary
Conditional Statements & Loops
if…statement
if…else statement
elif…statement
The while…Loop
The for….Loop
Control Statements
continue statement
break statement
pass statement
Functions
Define function
Calling a function
Function arguments
Built-in functions
Modules & Packages
Modules
How to import a module…?
Built-in Module – OS
Built-in Module – sys
Built-in Module – argparse
Built-in Module – statistics
Built-in Module – math
Packages
How to create packages
Classes & Objects
Introduction about classes & objects
Creating a class & object
Inheritance
Methods Overriding
Data hiding
Files & Exception Handling
Writing data to a file
Reading data from a file
Read and Write data from csv file
try…except
try…except…else
finally
Project Work – PYTHON : DATA ANALYSIS
Getting started with Python Libraries
what is data analysis ?
why python for data analysis ?
Essential Python Libraries
Installation and setup
Ipython
2.7 VS 3.5
NumPy Arrays
Creating multidimensional array
NumPy-Data types
Array attributes
Indexing and Slicing
Creating array views and copies
Manipulating array shapes
I/O with NumPy
Working with Pandas
Installing pandas
Pandas dataframes
Pandas Series
Data aggregation with Pandas DataFrames
Concatenating and appending DataFrames
Joining DataFrames
Handling missing data
Data Loading,Storage and file format
Writing CSV files with numpy and pandas
HDF5 format
Reading and Writing to Excel with pandas
JSON data
Parsing HTML with Beautiful Soup
PyTables
Python Regular Expressions
What are regular expressions?
The match Function
The search Function
Matching vs searching
Search and Replace
Extended Regular Expressions
Wildcard
Python Oracle Database Access
Install the cx_Oracle and other Packages
Create Database Connection
CREATE, INSERT, READ, UPDATE and DELETE Operation
DML and DDL Oepration with Databases
Performing Transactions
Handling Database Errors
Disconnecting Database
PROJECT WORK :
Projects
Random password generator |
Mini |
CLI based scientific calculator |
Mini |
Instagram bot |
Mini |
Expense Tracker |
Mini |
Site connectivity checker |
Mini |
Lawn Tennis Match Highlight (Can be extended to any sport) |
Major |
NLP library |
Major |
Note: Depends upon Trainers above projects may vary
Related Combo Programs:-
Oracle SQL+ Python Scripting + Data science with machine learning
Python Scripting + Data science with machine learning + Deep Learning
FAQs :
Most Probable Interview Questions for Python Scripting
Interview Question No. 1 for Python Scripting : What are the benefits of using Python for scripting tasks compared to other programming languages?
Interview Question No. 2 for Python Scripting : Can you explain the difference between Python 2 and Python 3, and which version would you recommend for new scripting projects?
Interview Question No. 3 for Python Scripting : Describe your experience with using Python’s built-in data structures like lists, dictionaries, and tuples in scripting tasks
Interview Question No. 4 for Python Scripting : How do you handle command-line arguments in Python scripts, and what libraries or modules do you use for parsing command-line inputs?
Interview Question No. 5 for Python Scripting : Can you discuss your approach to error handling in Python scripts, including techniques for catching and logging exceptions?
Interview Question No. 6 for Python Scripting : Describe your experience with reading and writing files in Python scripts, including techniques for handling different file formats and file I/O operations
Interview Question No. 7 for Python Scripting : How do you work with external libraries and modules in Python scripts, and how do you manage dependencies using tools like pip and virtual environments?
Interview Question No. 8 for Python Scripting : Can you explain the concept of generators in Python, and how you use them for lazy evaluation and memory-efficient processing in scripting tasks?
Interview Question No. 9 for Python Scripting : Discuss your experience with using regular expressions (regex) in Python scripts for pattern matching and text processing tasks
Interview Question No. 10 for Python Scripting : How do you schedule and automate Python scripts to run at specific intervals using tools like cron jobs or Windows Task Scheduler?
Interview Question No. 11 for Python Scripting : Describe your experience with interacting with APIs in Python scripts, including techniques for making HTTP requests and handling JSON responses
Interview Question No. 12 for Python Scripting : Can you discuss your approach to testing and debugging Python scripts, including techniques for unit testing and integration testing?
Interview Question No. 13 for Python Scripting : How do you handle concurrency and parallelism in Python scripts, and what libraries or modules do you use for asynchronous programming?
Interview Question No. 14 for Python Scripting : Describe your experience with working with databases in Python scripts, including techniques for connecting to databases, querying data, and handling transactions
Interview Question No. 15 for Python Scripting : Can you explain the concept of context managers in Python, and how you use them for resource management and handling exceptions in scripting tasks?
Interview Question No. 16 for Python Scripting : Discuss your approach to logging and monitoring in Python scripts, including techniques for capturing and analyzing log messages for troubleshooting and performance tuning
Interview Question No. 17 for Python Scripting : How do you secure Python scripts from vulnerabilities such as injection attacks and unauthorized access to sensitive data?
Interview Question No. 18 for Python Scripting : Describe your experience with packaging and distributing Python scripts as standalone executables or libraries using tools like PyInstaller or setuptools
Interview Question No. 19 for Python Scripting : Can you discuss your experience with integrating Python scripts with other languages and platforms, such as calling Python from C/C++ or embedding Python in a larger application?
Interview Question No. 20 for Python Scripting : How do you document your Python scripts to make them more readable and maintainable for other developers, including techniques for writing docstrings and comments?
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