The 2024 Data & Cloud Mastery Course Bundle
What's Included
Efficient Coding in Python
- Experience level required: All levels
- Access 73 lectures & 15 hours of content 24/7
- Length of time users can access this course: Lifetime
Course Curriculum
73 Lessons (15h)
- Google ColabGoogle Colab - Part 117:36Google Colab - Part 24:43
- How to read a file in Google ColabHow to read a file in Google Colab4:51
- Anaconda InstallationAnaconda Installation - 6: 53
- How to read a file in Jupyter NotebookHow to read a file in Jupyter Notebook3:57
- Introduction to SetsIntroduction to Sets6:23
- Introduction to ListsIntroduction to Lists6:37
- Introduction to DictionariesIntroduction to Dictionaries9:01
- Introduction to RecursionIntroduction to Recursion4:19
- Introduction to TuplesIntroduction to Tuples6:18
- Introduction to Web ScrappingIntroduction to Web Scrapping16:42
- Accessing ArraysAccessing Arrays6:36
- Accessing and Methods in TuplesAccessing and Methods in Tuples7:26
- Accessing DictionariesAccessing Dictionaries4:45
- Accessing ListsAccessing Lists8:03
- Axis-Wise OperationsAxis-Wise Operations4:56
- Beautiful Soup Introduction and ExplanationBeautiful Soup Introduction and Explanation20:37
- Beautiful Soup GetElementsBy Id and Multiple TagBeautiful Soup GetElementsBy Id and Multiple Tag - Part 110:23Beautiful Soup GetElementsBy Id and Multiple Tag - Part 226:53Beautiful Soup GetElementsBy Id and Multiple Tag - Part 316:24Beautiful Soup GetElementsBy Id and Multiple Tag - Part 415:32
- Boolean IndexingBoolean Indexing5:17
- Break and Continue StatementBreak and Continue Statement9:58
- Broadcasting and StackingBroadcasting and Stacking9:14
- Classes & InstancesClasses & Instances10:17
- Classes & Instances CreationClasses & Instances Creation12:13
- ConditionalsConditionals8:18
- Constructors or InstantiatorsConstructors or Instantiators8:32
- Creating ArraysCreating Arrays9:25
- Creating DictionariesCreating Dictionaries8:44
- Creating ListsCreating Lists8:48
- Creating SetsCreating Sets4:07
- Creating TuplesCreating Tuples4:57
- Data Structures - Scalars, Vectors, and MatrixData Structures - Scalars, Vectors, and Matrix10:41
- Data StructuresData Structures6:52
- Data Types - IntegerData Types - Integer
- Data Types - BooleanData Types - Boolean7:37
- Data Types - FloatData Types - Float5:19
- Data Types - StringData Types - String11:28
- Elementwise OperationsElementwise Operations6:42
- Else & Elif StatementElse & Elif Statement8:52
- Expression EvaluationExpression Evaluation12:39
- For Loop with RangeFor Loop with Range11:06
- For Loop with VariablesFor Loop with Variables6:28
- FunctionsFunctions10:13
- Functions in NumpyFunctions in Numpy8:55
- Functions with ArgumentsFunctions with Arguments8:09
- Functions with Multiple ArgumentsFunctions with Multiple Keyword Arguments8:53
- Functions without ArgumentsFunctions without Arguments9:14
- If StatementsIf Statements8:31
- Indexing and Slicing In StringsIndexing and Slicing In Strings13:54
- InheritanceInheritance8:28
- Input, Output and FormattingInput, Output and Formatting11:14
- Jupyterv2Jupyterv25:33
- Logical Operations in ConditionalsLogical Operations in Conditionals11:20
- LoopsLoops5:02
- Methods In DictionariesMethods In Dictionaries14:00
- Methods In ListMethods In List - Part 113:06Methods In List - Part 210:11
- Methods In SetsMethods In Sets - Part 18:26Methods In Sets - Part 27:29
- Nested If StatementsNested If Statements14:03
- Numerical PythonNumerical Python6:17
- PolymorphismPolymorphism7:17
- PyMySQL IntroductionPyMySQL Introduction10:56
- PyMySQLPyMySQL - Part 142:19PyMySQL - Part 251:25PyMySQL - Part 340:34
- Python Request LibraryPython Request Library10:45
- Python Properties and ApplicationsPython Properties and Applications18:08
- Recursion - Summation Function Part 1Recursion - Summation Function Part 15:13
- Recursionipynb - Summation Function Part 2Recursionipynb - Summation Function Part_24:58
- Recursion- Base CaseRecursion- Base Case5:13
- Regular ExpressionsRegular Expressions34:45
- Scope of a FunctionScope of a Function7:08
- Single and Multi-Line CommentingSingle and Multi-Line Commenting6:51
- String Access Using LoopsString Access Using Loops7:14
- The Self MethodThe Self Method6:09
- Understanding ProgrammingUnderstanding Programming15:18
- Variables and ValuesVariables and Values9:42
- WhileWhile8:46
- QuizQuiz
Efficient Coding in Python
GreyCampus | EdTech Platform
GreyCampus helps people power their careers through skills and certifications. They strongly advocate for continuous upskilling and the acquisition of certifications as crucial to maintaining long-term success in one's career. As older skills rapidly lose relevance, the demand for newer, sought-after skills is rapidly increasing. GreyCampus firmly believes that staying skilled will keep you ahead in your career.
Description
Master Python Techniques for Efficient Programming
This course is designed to help you master the art of writing optimized and elegant Python code. You’ll start by learning the basics, such as using Python IDEs and understanding fundamental programming concepts like data types, conditional statements, and loops. As you advance, you'll explore functions, recursion, regular expressions, and data structures. The course also covers arrays and introduces you to the powerful NumPy library, ensuring you have the tools to apply efficient coding techniques in real-world Python projects.
What you'll learn
- Access 73 lectures & 15 hours of content 24/7
- Learn file handling in Google Colab and Jupyter Notebook
- Install and set up Anaconda for Python development
- Master Python data structures: lists, dictionaries, sets, and tuples
- Understand recursion and apply it in real-world coding scenarios
- Perform web scraping with Beautiful Soup
- Explore advanced Python features: boolean indexing, broadcasting, and stacking
- Master control flow with conditionals, loops, and recursion
- Dive into object-oriented programming: classes, instances, and inheritance
- Use PyMySQL for database management in Python
- Perform operations using NumPy for numerical computing
- Work with regular expressions, string manipulation, and functional programming
Who is this course for
- Anyone looking to learn Python from scratch or enhance their existing skills
- Anyone interested in mastering data structures and algorithms in Python
- Anyone who wants to explore web scraping and database management using Python
Specs
Important Details
- Length of time users can access this course: lifetime
- Access options: desktop & mobile
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
- Certificate of Completion ONLY
- Updates included
- Closed captioning NOT available
- NOT downloadable for offline viewing
- Have questions on how digital purchases work? Learn more here
Requirements
-
No prior programming experience is required, but familiarity with basic concepts may be helpful
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Terms
- Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.