Faculty: Mujahed | Duration: 20 Hours | 23 Videos | Version: 2.7, 3.7 | on Linux Cloud | Prerequisites: Administrator Permission to Install
Course Tutorial Videos
StartSession 01 - About Python (51:12)
StartSession 02 - String Operations (58:45)
StartSession 03 - Operators (Arithmetic, Relational, Logical) (51:46)
StartSession 04 - Bitwise Operator, Collections (43:15)
StartSession 05 - Tokens in Python, Statements (45:37)
StartSession 06 - Collections (Tuples, Set) (102:10)
StartSession 07 - Input/Output Statements (46:05)
StartSession 08 - Conditional & Looping Statements, Lambda, Comprehensions (46:23)
StartSession 09 - Looping Statements, List Comprehensions (40:24)
StartSession 10 - About Function, Categories/Types (60:37)
StartSession 11 - Advance Functions (Recursions/ Lambda) (39:32)
StartSession 12 - Regular Expression (15:54)
StartSession 13 - Basic Functions (Needs, Parts, Types, Category, Pass by Value/reference (24:23)
StartSession 14 - Exception Handling (48:29)
StartSession 15 - Exception Handling, OOPs (64:21)
StartSession 16 - OOPs (54:19)
StartSession 17 - OOPs Practical Part 01 (54:31)
StartSession 18 - OOPs Practical Part 02 (37:46)
StartSession 19 - Environment, PIP, MySQL, MySQL Connector, Python + MySQL (49:00)
StartSession 20 - Iterators, Generators, File Handling, Logging (49:44)
StartSession 21 - Operation Tasks with Automation using Python, Deployment with Containerisation (69:04)
StartSession 22 - GitHub (58:06)
StartSession 23 - Docker + Python + Flask + Deployment (57:19)
Python is an interpreted, object-oriented programming language similar to PERL, that has gained popularity because of its clear syntax and readability. Python is said to be relatively easy to learn and portable, meaning its statements can be interpreted in a number of operating systems, including UNIX-based systems, Mac OS, MS-DOS, OS/2, and various versions of Microsoft Windows 98.
If you are thinking about learning Python but not sure why you should do that then here are 10 reasons which highlight the benefits of learning Python in 2019.
For a beginner, learning Python makes sense because its simple. For an experienced programmer who is looking to go into Data Science and Machine learning, learning Python makes sense because it’s quickly becoming the most used programming language and there are powerful APIs and libraries available for AI, data science, and machine learning.
Python is growing really fast and it makes a lot of sense to learn a growing programming language if you are just starting your programming career.
Python developers are some of the highest paid developers, particularly in the fields of data science, machine learning, and web development.
Average salaries from $70,000 USD to $150,000 USD, depending upon experience, location, and area of speciality.
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