What you would learn in Advanced Python for Data Analysis course?
Python is a general-purpose, high-level programming language that can be interpreted. It is a dynamic and strong discipline. Guido van Rossum designed it. It is functional, object-oriented, and imperative. It supports file extensions like.py,pyd,pyc, and. pyc. Python's syntax and code are much more readable than other programming languages. Python is simple to use, understand and maintain. It also has interactive mode features that allow for greater scalability. It supports both structured and functional programming. It was licensed under Python Software Foundation License. It was first published in 1990. It was also influenced by many other programming languages, such as C++, Java, and Haskell. Modula, Perl, Modula, and Modula were some of its influences.
These are the contents of the training:
1. Using in-built standard modules in python (DateTime, math, statistics)
2. Networking using sockets
3. Using apis for Twitter and emails
4. Data science modules for iot (numpy, scipy, pandas, matplotlib)
5. Multi-threading and Exception handling
This course will cover the following topics:
Nuts and Bolts
Networking and Networking Concepts
Database and Chat App
Client Element and Datasets
This course is intended for anyone interested in programming. This course requires basic knowledge of electronics and programming.
Use the built-in standard modules of python to learn about DateTime, math, and statistics.
Use sockets to learn networking
Learn how to use APIs in emails and Twitter
Learn about data science modules in Python, such as NumPy and scipy. Along with multi-threading, exception handling
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