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Top Questions People Ask About Pandas, NumPy, Matplotlib & Scikit-learn — Answered!

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 Whether you're a beginner or brushing up on your skills, these are the real-world questions Python learners ask most about key libraries in data science. Let’s dive in! 🐍 🐼 Pandas: Data Manipulation Made Easy 1. How do I handle missing data in a DataFrame? df.fillna( 0 ) # Replace NaNs with 0 df.dropna() # Remove rows with NaNs df.isna(). sum () # Count missing values per column 2. How can I merge or join two DataFrames? pd.merge(df1, df2, on= 'id' , how= 'inner' ) # inner, left, right, outer 3. What is the difference between loc[] and iloc[] ? loc[] uses labels (e.g., column names) iloc[] uses integer positions df.loc[ 0 , 'name' ] # label-based df.iloc[ 0 , 1 ] # index-based 4. How do I group data and perform aggregation? df.groupby( 'category' )[ 'sales' ]. sum () 5. How can I convert a column to datetime format? df[ 'date' ] = pd.to_datetime(df[ 'date' ]) ...
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Top course contents to learn in Cloud computing

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Cloud course contents
Top 20 modules or contents must to learn wherever you take course on cloud computing. The list fully analyzed from various sources and finalized.

Module 1

Fundamental Cloud Computing: Concepts, terminology, technologies, benefits,  challenges, SLAs and business cost metrics associated with cloud computing are covered, along with SaaS, IaaS, PaaS delivery models, common cloud deployment models, and cloud characteristics.

 Module 2: Cloud Technology Concepts
Cloud Technology Concepts: This course covers a range of topics related to cloud computing mechanisms, cloud security threats and controls, and essential cloud technologies. Also addressed are testing, cloud storage, industry standards, and emerging technologies and trends.

 Module 3: Cloud Technology Lab
Cloud Technology Lab: A hands-on lab during which participants apply practices, mechanisms, and technologies to design cloud-based service architectures in order to solve a set of complex problems.

Module 4: Fundamental Cloud Architecture

Fundamental Cloud Architecture: This course delves into the technology architecture of cloud platforms and cloud-based solutions and services by exploring a series of new cloud computing mechanisms and their utilization via a set of cloud computing design patterns.

Module 5: Advanced Cloud Architecture

Advanced Cloud Architecture: Advanced technology architecture topics are addressed in this course with a focus on complex cloud-based solution design, including the incorporation of hybrid cloud deployment models, compound design patterns, and solution architectures that span cloud and on-premise environments.

Module 6: Cloud Architecture Lab

Cloud Architecture Lab: A hands-on lab during which participants apply the patterns, models, concepts, techniques, and mechanisms covered in previous courses, in order to complete a series of architectural and design exercises.

Module 7: Fundamental Cloud Security

Fundamental Cloud Security: This course dives into the implementation technologies behind the cloud security mechanisms first introduced in Module 2, and further explores how these mechanisms and associated security technologies can be configured and combined to establish a cloud security architecture.

Module 8: Advanced Cloud Security

 Advanced Cloud Security: Complex security topics are addressed by this course, which introduces a set of security design patterns that address the application of cloud security mechanisms and technologies in order to establish sophisticated, custom security controls for preventative and reactionary responses to common threats and attacks.

Module 9: Cloud Security Lab

Cloud Security Lab: A hands-on lab during which participants apply the patterns, concepts, techniques, and mechanisms covered in previous courses, in order to complete a series of exercises that present real-world security problems.

Module 10: Fundamental Cloud Governance

Fundamental Cloud Governance: This course covers the essential building blocks required to establish a governance system for cloud environments. Topics include the definition of cloud governance precepts, roles, practices, and processes, along with coverage of common governance challenges and pitfalls specific to cloud computing.

Module 11: Advanced Cloud Governance

Advanced Cloud Governance: Advanced cloud governance topics are addressed by this course, which focuses on establishing complex regulatory controls and precepts for a range of cloud-based IT resources and solutions, and further delves into technologies suitable for automating internal and remote cloud governance tasks.

Module 12: Cloud Governance Lab

Cloud Governance Lab: A hands-on lab during which participants apply the patterns, models, concepts, techniques, and mechanisms covered in previous courses, in order to complete a series of architectural and design exercises.

Module 13: Fundamental Cloud Storage

Fundamental Cloud Storage: This course expands upon the cloud storage topics introduced in Module 2 by further exploring cloud storage devices, structures, and technologies from a more technical and implementation-specific perspective. A set of cloud storage mechanisms and devices are established, along with in-depth coverage of NoSQL and cloud storage services.

Module 14: Advanced Cloud Storage

Advanced Cloud Storage: A number of advanced topics are introduced in this course, including persistent storage, redundant storage, cloud-attached storage, cloud-remote storage, cloud storage gateways, cloud storage brokers, Direct Attached Storage (DAS), Network Attached Storage (NAS), Storage Area Network (SAN), various cloud storage-related design patterns, and the overall information lifecycle management as it applies specifically to cloud-hosted data.
Module 15: Cloud Storage Lab

Cloud Storage Lab : A hands-on lab during which participants apply the patterns, concepts, practices, devices, and mechanisms covered in previous courses, in order to complete a series of exercises that pertain to solving cloud storage problems and creating cloud storage architectures.

Module 16: Fundamental Cloud Virtualization

Fundamental Cloud Virtualization: Core topic areas pertaining to the fundamental virtualization mechanisms and types used within contemporary cloud computing platforms are explored, along with various key performance indicators and related metrics.

Module 17: Advanced Cloud Virtualization

Advanced Cloud Virtualization: A range of specialized and advanced design patterns that build upon Module 16 to explore virtualization-related reliability, performance and integration, as well as combinations of mechanisms are covered, whereby the problem scenario, application, and solution are presented for each individual design pattern.

 Module 18: Cloud Virtualization Lab

Cloud Virtualization Lab: A hands-on lab during which participants apply the models, concepts, and techniques covered in previous courses, in order to complete a series of complex exercises that enable participants to demonstrate proficiency in applying design patterns to solve common problems in cloud-based environments.

 Module 19: Fundamental Cloud Capacity

 Module 20: Advanced Cloud Capacity

Module 21: Cloud Capacity Lab

References

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