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Basics of Python Programming\n\n### Python Basics\n- Short info about DSMP\n- About Python\n- Python Output/print function\n- Python Data Types\n- Python Variables\n- Python comments\n- Python Keywords and Identifiers\n- Python User Input\n- Python Type conversion\n- Python Literals\n\n### Python Operators + if-else + Loops\n- Start of the session\n- Python Operators\n- Python if-else\n- Python Modules\n- Python While Loop\n- Python for loop\n\n### Python Strings\n- Introduction\n- Solving Loop problems\n- Break, continue, pass statement in loops\n- Strings\n- String indexing\n- String slicing\n- Edit and delete a string\n- Operations on String\n- Common String functions\n\n### Time complexity\n- Start of the Session\n- PPT presentation on Time Complexity (Efficiency in Programming and Orders of Growth)\n- Examples\n\n### Interview Questions\n\n## 2. Python Data Types\n\n### Python Lists\n- Introduction\n- Array vs List\n- How lists are stored in a memory\n- Characteristics of Python List\n- Code Example of Lists\n  - Create and access a list\n  - append(), extend(), insert()\n  - Edit items in a list\n  - Deleting items from a list\n  - Arithmetic, membership and loop operations on a List\n  - Various List functions\n  - List comprehension\n  - 2 Ways to traverse a list\n  - Zip() function\n  - Python List can store any kind of objects\n- Disadvantages of Python list\n\n### Tuples + Set + Dictionary\n\n#### Tuple\n- Create and access a tuple\n- Can we edit and add items to a tuple?\n- Deletion\n- Operations on tuple\n- Tuple functions\n- List vs tuple\n- Tuple unpacking\n- Zip() on tuple\n\n#### Set\n- Create and access a set\n- Can we edit and add items to a set?\n- Deletion\n- Operations on set\n- set functions\n- Frozen set (immutable set)\n- Set comprehension\n\n#### Dictionary\n- Create dictionary\n- Accessing items\n- Add, remove, edit key-value pairs\n- Operations on dictionary\n- Dictionary functions\n- Dictionary comprehension\n- Zip() on dictionary\n- Nested comprehension\n\n### Python Functions\n- Create function\n- Arguments and parameters\n- args and kwargs\n- How to access documentation of a function\n- How functions are executed in a memory\n- Variable scope\n- Nested functions with examples\n- Functions are first class citizens\n- Deletion of function\n- Returning of function\n- Advantages of functions\n- Lambda functions\n- Higher order functions\n- map(), filter(), reduce()\n\n### Array Interview Questions\n\n### Week 2 Interview Questions\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgeonextgis%2Fpython-for-beginners-to-pros","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgeonextgis%2Fpython-for-beginners-to-pros","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgeonextgis%2Fpython-for-beginners-to-pros/lists"}